{ "generated": "2026-06-30", "total_citations": 293, "linked_citations": 253, "parts": [ { "part": "Peer-reviewed foundations", "blurb": "What the academic literature establishes about the methods Atlas uses — screening, capacity modeling, conversion prediction, conservation prioritization, and the privacy wall.", "sections": [ { "title": "Method validation & corrections", "slug": "synthesis-validations-corrections-gaps", "what": "The reviewed literature broadly validates a public-data, spatially-cross-validated screening method and the privacy wall, while delivering three corrections: humid-climate agrivoltaics on row crops tends to lose yield and profit, solar capacity-density should use Bolinger & Bolinger (2022) rather than legacy Ong (2013) figures, and CDL sub-class (minor-crop / pasture) claims are noisy and should be hedged. It also flags that parcel-resolution, owner-linked conversion and succession prediction is largely absent from published work.", "relevance": "Frames Atlas's pipeline as the published academic screening method — evidence and context for screening-grade dossiers, never a per-parcel certification.", "citations": [ { "authors": "PNAS (University of Illinois Urbana-Champaign team)", "year": "2026", "title": "Climate-driven divergence in agrivoltaic impacts", "venue": "PNAS", "finding": "Corn/soy typically lose yield and profit under panels in humid climates, steering agrivoltaic dossiers toward specialty crops, grazing, and pollinator habitat.", "link": "" }, { "authors": "Owusu-Obeng et al.", "year": "2025", "title": "Brownfield-solar screening study (EPA RE-Powering + land cover + Microsoft Building Footprints + SAM/reV)", "venue": "arXiv", "finding": "Independently rebuilt almost exactly the same public-data solar-screening stack, serving as a credibility anchor that the pipeline is the published academic method.", "link": "" }, { "authors": "Haws et al.", "year": "2025", "title": "Succession prediction with historical census linkage", "venue": "", "finding": "Explicitly note that data access blocks parcel-owner-linked succession modeling, so they fell back to 1900–1940 census linkage — leaving parcel-native modeling ahead of the published science.", "link": "" }, { "authors": "Koehn", "year": "2025", "title": "Easement additionality gap", "venue": "", "finding": "Conservation easements under-deliver additionality and almost no operational parcel-level threat screens exist, opening a productized farmland-at-risk feed.", "link": "" }, { "authors": "Fiechter, Kunwar & Tchuente", "year": "2024", "title": "Solar/farmland conversion economics", "venue": "", "finding": "Independently corroborates high conversion-pressure clustering near existing development, supporting the pressure model.", "link": "" }, { "authors": "Bowen et al.", "year": "2022", "title": "Parcel-level locational grid value", "venue": "", "finding": "Parcel-level locational grid value is extreme and concentrated — the top 5% earn 3.5–8.9 cents/kWh versus about 1 cent — the peer-reviewed justification for the screening premise.", "link": "" }, { "authors": "Bolinger & Bolinger", "year": "2022", "title": "Solar land-use / array density", "venue": "", "finding": "Array density is about 0.24–0.35 MW_DC/acre, which should replace the legacy Ong (2013) 7–9 acres/MW figures that understate MW and revenue by 25–78%.", "link": "" }, { "authors": "Weselek et al.", "year": "2021", "title": "Temperate-climate agrivoltaic field study", "venue": "", "finding": "In temperate-humid climates yields usually fall modestly but can rise in hot/dry years, reinforcing the humid-climate correction.", "link": "" }, { "authors": "Lark et al.", "year": "2021", "title": "CDL cropland accuracy", "venue": "", "finding": "The binary cropland mask is trustworthy but minor-crop and grass/pasture/hay sub-classes are noisy and should be hedged or cross-checked with NDVI phenology.", "link": "" }, { "authors": "Ploton et al.", "year": "2020", "title": "Spatial cross-validation methodology", "venue": "", "finding": "Reinforces reporting spatial-CV metrics (not random-split numbers) and treating the output as a screen.", "link": "" }, { "authors": "Barron-Gafford et al.", "year": "2019", "title": "Dryland agrivoltaics 'win-win'", "venue": "", "finding": "The dryland win-win does not transfer to humid-temperate climates, requiring the agrivoltaic bet to be reframed.", "link": "" }, { "authors": "Roberts et al.", "year": "2017", "title": "Spatial cross-validation methodology", "venue": "", "finding": "Prescribes leave-one-out spatial cross-validation and reporting spatial-CV AUC, forming the model's validation backbone.", "link": "" }, { "authors": "Ong et al.", "year": "2013", "title": "Legacy solar land-use estimate (~7–9 acres/MW)", "venue": "", "finding": "The legacy ~7–9 acres/MW figure understates capacity and revenue and should not be used for the capacity-density basis.", "link": "" }, { "authors": "Brenning", "year": "2012", "title": "Spatial cross-validation methodology", "venue": "", "finding": "Supports spatial cross-validation and framing output as a screen rather than a calibrated probability.", "link": "" }, { "authors": "Withey et al.", "year": "2012", "title": "Conversion-probability for targeting", "venue": "", "finding": "Part of the conversion-probability-for-targeting tradition corroborating the pressure model.", "link": "" }, { "authors": "Newburn et al.", "year": "2006", "title": "Conversion-probability for conservation targeting", "venue": "", "finding": "Establishes the conversion-probability-for-targeting tradition that precedes the conservation-targeting bet.", "link": "" }, { "authors": "Brownstein, Cassa & Mandl", "year": "2006", "title": "Parcel re-identification", "venue": "", "finding": "Even de-identified parcel maps reverse-geocode to specific addresses over 70% of the time, giving the privacy wall an empirical basis.", "link": "" } ] }, { "title": "Agrivoltaics & dual-use solar", "slug": "agrivoltaics-dual-use-solar", "what": "Agrivoltaics research establishes the Land Equivalent Ratio as its core metric and shows crop response is highly crop- and climate-specific: shade-tolerant and specialty crops tolerate or benefit from partial shade while commodity grains suffer, and the dryland 'win-win' weakens or reverses in humid climates. Water-use-efficiency and cooling co-benefits are robust, pollinator habitat and solar grazing are often easier to monetize than crop agrivoltaics, and agrivoltaic systems cost roughly 20–90% more to install than conventional ground-mount PV.", "relevance": "Supplies an evidence-based crop/use filter (row crops weak, grazing/pollinator/specialty stronger in humid NJ) that makes agrivoltaic dossiers more defensible — as literature context, not a parcel-level guarantee.", "citations": [ { "authors": "University of Illinois Urbana-Champaign team", "year": "2026", "title": "Climate-driven divergence in biophysical and economic impacts of agrivoltaics", "venue": "Proceedings of the National Academy of Sciences (PNAS), 123", "finding": "A coupled crop-model plus economics study found that in the humid eastern Midwest shading cut maize -24% and soybean -16% and reduced profits, while semi-arid regions saw stress relief and better returns — showing commodity-row-crop agrivoltaics is generally a loser in humid climates like NJ.", "link": "https://doi.org/10.1073/pnas.2514380123" }, { "authors": "Stid, J. T., Shukla, S., Anctil, A., Kendall, A. D., Rapp, J., & Hyndman, D. W.", "year": "2025", "title": "Impacts of agrisolar co-location on the food-energy-water nexus and economic security", "venue": "Nature Sustainability, 8(6), 702-713", "finding": "Analyzing 925 solar arrays in California's Central Valley, co-location displaced food production but raised farmer economic security and water sustainability, providing a quantified real-world land-use trade-off framework.", "link": "https://doi.org/10.1038/s41893-025-01546-4" }, { "authors": "Campana, P. E., et al.", "year": "2025", "title": "Scientific frontiers of agrivoltaic cropping systems", "venue": "Nature Reviews Clean Technology, 1", "finding": "This review estimates global AV electricity potential of ~66–385 PWh/yr and flags reduced agricultural performance under shade, 20–90% higher install cost versus conventional PV, and social-acceptance/landscape integration as binding constraints.", "link": "https://doi.org/10.1038/s44359-025-00110-9" }, { "authors": "Walston, L. J., Hartmann, H. M., Macknick, J., et al. (see also Walston et al. 2018)", "year": "2024", "title": "Five-year biodiversity and ecosystem-service responses to solar-pollinator habitat at Minnesota PV facilities (Argonne/NREL InSPIRE)", "venue": "Argonne National Laboratory; Environmental Science & Technology, 52, 7566-7576 (2018)", "finding": "A 2018–2022 study at two Minnesota solar sites found increases across all habitat/biodiversity metrics, including a ~7-fold rise in flowering-plant species richness and pollinator spillover benefiting cropland within ~1.5 km.", "link": "https://doi.org/10.1021/acs.est.8b00020" }, { "authors": "Nilson, R.S. & Stedman, R.C.", "year": "2023", "title": "Solar energy development on farmland: Three prevalent perspectives of conflict, synergy and compromise in the United States", "venue": "Energy Research & Social Science, 100, 103108", "finding": "Characterizes the conflict/synergy/compromise paradigms in US farmland-solar siting and names the social-license risk that drives policy toward marginal-land and dual-use preferences.", "link": "https://doi.org/10.1016/j.erss.2023.103108" }, { "authors": "Macknick, J., Hartmann, H., Barron-Gafford, G., Beatty, B., Burton, R., Choi, C.-S., ... & InSPIRE team", "year": "2022", "title": "The 5 Cs of agrivoltaics / InSPIRE project & OpenEI agrivoltaics database", "venue": "National Renewable Energy Laboratory (NREL)", "finding": "NREL's InSPIRE program documents 600+ US agrivoltaic sites (crops, grazing, pollinator habitat) on OpenEI and articulates best-practice design/operations frameworks.", "link": "https://openei.org/wiki/InSPIRE" }, { "authors": "Pascaris, A.S., Schelly, C., Rouleau, M., & Pearce, J.M.; and Macknick, J. et al.", "year": "2022", "title": "Do agrivoltaics improve public support for solar?; and The 5 Cs of Agrivoltaic Success Factors in the United States: Lessons From the InSPIRE Research Study (NREL/TP-6A20-83566)", "venue": "NREL Technical Report NREL/TP-6A20-83566", "finding": "The InSPIRE '5 Cs' framework (Climate/Configuration/Crops/Compatibility/Collaboration) is the leading US agrivoltaics design-and-success synthesis, with co-location reported to raise land-use efficiency 60-200% (Land Equivalent Ratio > 1).", "link": "https://www.nrel.gov/docs/fy22osti/83566.pdf" }, { "authors": "Weselek, A., Bauerle, A., Hartung, J., Zikeli, S., Lewandowski, I., & Hogy, P.", "year": "2021", "title": "Agrivoltaic system impacts on microclimate and yield of different crops within an organic crop rotation in a temperate climate", "venue": "Agronomy for Sustainable Development, 41, 59", "finding": "Multi-year temperate results (Germany) showed ~30% PAR reduction and yields under panels ranging roughly -19 to +3% (winter wheat), -20 to +11% (potato), -8 to -5% (grass-clover), with hot/dry-year increases — among the most NJ-relevant humid-temperate datasets.", "link": "https://doi.org/10.1007/s13593-021-00714-y" }, { "authors": "Andrew, A. C., Higgins, C. W., Smallman, M. A., Graham, M., & Ates, S. (plus American Solar Grazing Association 2024 US Census)", "year": "2021", "title": "Herbage Yield, Lamb Growth and Foraging Behavior in Agrivoltaic Production System", "venue": "Frontiers in Sustainable Food Systems, 5, 659175", "finding": "Panels alter forage and provide shade benefiting livestock, and the ASGA 2024 census reports ~113,050 sheep grazing ~129,000 acres across 500+ US sites, making grazing the most commercially mature big-tent agrivoltaic pathway.", "link": "https://doi.org/10.3389/fsufs.2021.659175" }, { "authors": "Barron-Gafford, G. A., Pavao-Zuckerman, M. A., Minor, R. L., Sutter, L. F., Barnett-Moreno, I., Blackett, D. T., ... & Macknick, J. E.", "year": "2019", "title": "Agrivoltaics provide mutual benefits across the food-energy-water nexus in drylands", "venue": "Nature Sustainability, 2(9), 848-855", "finding": "A dryland (Arizona) experiment showed shading reduced crop drought stress and (for chiltepin/tomato) raised production while cooling panels — but the gains are climate-specific to arid/semi-arid settings.", "link": "https://doi.org/10.1038/s41893-019-0364-5" }, { "authors": "Weselek, A., Ehmann, A., Zikeli, S., Lewandowski, I., Schindele, S., & Hogy, P.", "year": "2019", "title": "Agrophotovoltaic systems: applications, challenges, and opportunities. A review", "venue": "Agronomy for Sustainable Development, 39, 35", "finding": "Consolidated APV terminology and early evidence, identifying shade-tolerant/specialty crops, water-use efficiency, and dual income as opportunities and reduced radiation, higher cost, and regulatory uncertainty as challenges.", "link": "https://doi.org/10.1007/s13593-019-0581-3" }, { "authors": "Adeh, E.H., Good, S.P., Calaf, M., & Higgins, C.W.", "year": "2019", "title": "Solar PV Power Potential is Greatest Over Croplands", "venue": "Scientific Reports, 9, 11442", "finding": "A first-principles, field-validated microclimate model ranked across 17 land-cover classes found croplands are the single most productive land class for PV, providing the physical rationale for farmland solar and agrivoltaics.", "link": "https://doi.org/10.1038/s41598-019-47803-3" }, { "authors": "Marrou, H., Guilioni, L., Dufour, L., Dupraz, C., & Wery, J.", "year": "2013", "title": "Microclimate under agrivoltaic systems: Is crop growth rate affected in the partial shade of solar panels?", "venue": "Agricultural and Forest Meteorology, 177, 117-132", "finding": "In a Montpellier field study, ~30% radiation reduction was largely compensated by crops increasing leaf area (lettuce yield preserved), and evapotranspiration fell under panels — the empirical basis for the water-saving claim.", "link": "https://doi.org/10.1016/j.agrformet.2013.04.012" }, { "authors": "Dupraz, C., Marrou, H., Talbot, G., Dufour, L., Nogier, A., & Ferard, Y.", "year": "2011", "title": "Combining solar photovoltaic panels and food crops for optimising land use: Towards new agrivoltaic schemes", "venue": "Renewable Energy, 36(10), 2725-2732", "finding": "Coined 'agrivoltaic' in the peer-reviewed literature and, coupling light-interception to the STICS crop model, predicted a 35–73% increase in global land productivity (Land Equivalent Ratio), establishing LER as the field's core metric.", "link": "https://doi.org/10.1016/j.renene.2011.03.005" } ] }, { "title": "Brownfield, landfill & contaminated-land solar", "slug": "brownfield-landfill-contaminated-land-solar", "what": "The contaminated-land solar literature splits into resource/economics, geotechnical/engineering, and policy strands: national-lab work established large disturbed-land PV potential, while newer work prices the advantage — contaminated lands hold a small share of potential and carry a 14-33% LCOE premium, with an empirically derived ~30% brownfield CAPEX premium. Engineering consensus favors ballasted, penetration-free racking on caps (pile foundations breach the barrier), and engineered-turf covers now enable panels on landfill side slopes, though a cap-specific capacity-density derate has not been peer-reviewed.", "relevance": "Grounds the brownfield/landfill track in priced, published constraints and an open cap-specific capacity-density gap Atlas can quantify — as screening-grade evidence, not a per-site engineering certification.", "citations": [ { "authors": "Owusu-Obeng et al.", "year": "2025", "title": "Contaminated-lands solar potential and cost across the Eastern Interconnect", "venue": "arXiv", "finding": "Contaminated lands hold only ~70 GW (0.6% of greenfield potential; landfills ~0.8 GW) and carry a 14-33% LCOE premium (brownfields ~$49/MWh, landfills ~$57/MWh vs prime-ag $39-57/MWh), with the ~30% brownfield CAPEX premium derived empirically from 56 brownfield vs 962 greenfield LBNL projects.", "link": "" }, { "authors": "Owusu-Obeng, P.Y., Shi, M., Vanatta, M., & Craig, M.T.", "year": "2025", "title": "Beyond Prime Farmland: Solar Siting Tradeoffs for Cost-Effective Decarbonization. Preprint, arXiv:2511.07323 (University of Michigan, School for Environment and Sustainability).", "venue": "Preprint, arXiv:2511.07323 (University of Michigan, School for Environment and Sustainability)", "finding": "County-level solar supply curves show contaminated lands hold only ~70 GW (0.6% of Eastern greenfield potential; landfills ~0.8 GW) with brownfield LCOE ~$49/MWh and landfills ~$57/MWh vs prime-ag $39-57/MWh, and derives a ~30% brownfield CAPEX premium empirically from 56 brownfield vs 962 greenfield LBNL projects.", "link": "https://arxiv.org/abs/2511.07323" }, { "authors": "NJDEP / NJ BPU", "year": "2024", "title": "Solar Siting Analysis, Version 3.0. New Jersey Department of Environmental Protection, Office of Clean Energy.", "venue": "New Jersey Department of Environmental Protection, Office of Clean Energy", "finding": "New Jersey's authoritative state-level land-suitability framework establishes the Competitive Solar Incentive (CSI) tranche structure (Tranche 3 explicitly grid-supply on contaminated sites and landfills) and the Community Solar Energy Program's 300 MW landfill/brownfield reserve.", "link": "https://dep.nj.gov/wp-content/uploads/cleanenergy/ssa-v3.0-report-2024-final.pdf" }, { "authors": "Center for Climate and Energy Solutions / Colorado State Univ. Center for the New Energy Economy", "year": "2024", "title": "Brownfields to Brightfields. White paper.", "venue": "Colorado State Univ. Center for the New Energy Economy", "finding": "A policy/market synthesis cataloguing state mechanisms that close the cost gap (VCP fee waivers, ITC brownfield/energy-community 10% adders, siting-preference programs) and documenting that only ~1.4% of U.S. clean energy is on contaminated land.", "link": "https://cnee.colostate.edu/wp-content/uploads/2024/10/Brownfields-to-Brightfields_FINAL.pdf" }, { "authors": "Zhu & Ayers", "year": "2023", "title": "Engineered-turf cover with penetration-free low-profile PV on landfills", "venue": "", "finding": "Engineered-turf covers paired with penetration-free low-profile PV tolerate settlement, eliminate mowing, and via friction-strip mounting enable panels on landfill side slopes (3H:1V demonstrated), raising buildable density.", "link": "" }, { "authors": "Zhu, M. & Ayers, M.", "year": "2023", "title": "Solar on Closed Landfills: Engineering Solutions and Case Studies. Proceedings of the 9th International Congress on Environmental Geotechnics (9ICEG), Vol. 3, 387-394, Chania, Crete. DOI: 10.53243/ICEG2023-235.", "venue": "Proceedings of the 9th International Congress on Environmental Geotechnics (9ICEG), Vol. 3, 387-394, Chania, Crete", "finding": "Pile foundations are typically disallowed because they penetrate the cap barrier, so racking is ballasted with concrete blocks; engineered-turf plus low-profile penetration-free PV enables panels on side slopes (e.g. 3H:1V) and higher density, with differential settlement and drip-line erosion as core failure modes.", "link": "https://www.issmge.org/uploads/publications/116/117/ICEG2023-235.pdf" }, { "authors": "Bolinger", "year": "2022", "title": "Fleet-wide solar array capacity density", "venue": "", "finding": "Fleet-wide array density of 0.24-0.35 MW-DC/acre is measured on open ground; cap-specific constraints plausibly lower this, but no peer-reviewed paper has quantified the landfill-cap derate.", "link": "" }, { "authors": "U.S. EPA & NREL", "year": "2022", "title": "Best Practices for Siting Solar Photovoltaics on Municipal Solid Waste Landfills. EPA RE-Powering America's Land Initiative (2022 update; orig. NREL/TP-7A30-52615, 2013).", "venue": "EPA RE-Powering America's Land Initiative", "finding": "The de-facto engineering/permitting handbook for landfill PV, codifying the technical challenge set (differential settlement, gas/leachate management, cap-penetration avoidance, stormwater, post-closure-care coordination) and the ballasted/penetration-free design default.", "link": "https://www.epa.gov/system/files/documents/2022-05/best-practices-siting-solar-photovoltaics-municipal-solid-waste-landfills_051722-pub.pdf" }, { "authors": "Macknick et al.", "year": "2013", "title": "NREL assessment of PV potential on contaminated/disturbed land", "venue": "NREL", "finding": "Of roughly 80M acres of US contaminated/disturbed land, about 20M acres are PV-suitable, and disturbed sites carry a permitting/land-conflict advantage.", "link": "" }, { "authors": "Macknick, J., Beiter, P., Heath, G., et al.", "year": "2013", "title": "Solar Development on Contaminated and Disturbed Lands. NREL Technical Report NREL/TP-6A20-58485, National Renewable Energy Laboratory.", "venue": "NREL Technical Report NREL/TP-6A20-58485, National Renewable Energy Laboratory", "finding": "Estimates ~80 million acres of contaminated/disturbed land in the U.S., of which ~20 million acres could be suitable for utility/commercial PV and CSP, and frames the permitting/mitigation advantages of disturbed sites over greenfield.", "link": "https://docs.nrel.gov/docs/fy14osti/58485.pdf" }, { "authors": "Adelaja, S., Shaw, J., Beyea, W., & McKeown, J.D.C.", "year": "2010", "title": "Renewable energy potential on brownfield sites: A case study of Michigan. Energy Policy, 38(11), 7021-7030.", "venue": "Energy Policy, 38(11), 7021-7030", "finding": "An early peer-reviewed assessment establishing brownfields as a quantifiable renewable-energy land resource and articulating the redevelopment-value / liability-reuse argument that later 'brightfield' literature builds on.", "link": "https://doi.org/10.1016/j.enpol.2010.07.021" }, { "authors": "U.S. EPA RE-Powering America's Land Initiative", "year": "2008-present", "title": "Decision trees and RE-Powering Mapper for siting renewables on contaminated lands, landfills, and mine sites", "venue": "U.S. Environmental Protection Agency (not peer-reviewed)", "finding": "The authoritative agency screening framework for brownfield/landfill solar, with ~190,000+ acres pre-screened, decision-tree feasibility criteria, and a national mapper.", "link": "https://www.epa.gov/re-powering" }, { "authors": "Sampson, [given name unconfirmed]", "year": "n.d.", "title": "Solar Power Installations on Closed Landfills. Student paper hosted on EPA CLU-IN (Contaminated Site Clean-Up Information).", "venue": "Student paper hosted on EPA CLU-IN (Contaminated Site Clean-Up Information)", "finding": "A synthesis of landfill-PV engineering constraints (differential settlement straining racking/conduit, cap-barrier protection, ballast vs pile) aimed at practitioners; grey literature, not peer-reviewed.", "link": "https://clu-in.org/download/studentpapers/Solar-Power-Installations-on-Closed-Landfills-Sampson.pdf" } ] }, { "title": "Solar siting: capacity density & suitability methods", "slug": "capacity-density-land-use", "what": "The long-standing NREL benchmark of roughly 7-9 acres/MW (Ong et al. 2013) now materially overstates land needs; a digitized-fleet update finds modern plants reach about 0.24-0.35 MW_DC/acre, meaning Ong's numbers run ~25-78% too high. Land tracks DC array size (not AC rating), and the reported density is direct-array only, so it must be derated by a buildable fraction to get total-site figures.", "relevance": "Screening-grade acres-to-MW conversions in dossiers should cite the updated Bolinger array-density basis with an explicit buildable-fraction derate rather than the legacy Ong figures, but this is methods context, not a per-parcel capacity certification.", "citations": [ { "authors": "Wang, Z. et al.", "year": "2023", "title": "Spatial modelling the location choice of large-scale solar photovoltaic power plants: Application of interpretable machine learning techniques and the national inventory", "venue": "Energy Conversion and Management, 290, 117234", "finding": "Trains three ML classifiers (random forest best) on a national PV inventory to predict where large-scale PV gets sited, using SHAP interpretability, with vegetation index (land cover) and distance to power grid as top predictors.", "link": "https://doi.org/10.1016/j.enconman.2023.117234" }, { "authors": "Bolinger, M. & Bolinger, G.", "year": "2022", "title": "Land Requirements for Utility-Scale PV: An Empirical Update on Power and Energy Density", "venue": "IEEE Journal of Photovoltaics, 12(2), 589-594", "finding": "From 736 polygon-digitized plants (92% of the US universe, COD 2007-2019), 2019 median power density is 0.35 MW_DC/acre fixed-tilt and 0.24 tracking, implying Ong et al. (2013) is now ~25-78% too high.", "link": "https://doi.org/10.1109/JPHOTOV.2021.3136805" }, { "authors": "Shorabeh, S.N., Argany, M., Rabiei, J., Firozjaei, H.K., & Nematollahi, O. (and Settou et al.)", "year": "2021", "title": "Risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran", "venue": "Renewable & Sustainable Energy Reviews-class MCDM siting reviews", "finding": "Representative of the risk/uncertainty branch, introducing Monte Carlo / sensitivity analysis and ordered weighted averaging over deterministic AHP to handle weight uncertainty, and establishing that siting outcomes are sensitive to criterion weights.", "link": "https://doi.org/10.1016/j.rser.2019.03.018" }, { "authors": "van Zalk, J. & Behrens, P.", "year": "2018", "title": "The spatial extent of renewable and non-renewable power generation: A review and meta-analysis of power densities and their application in the U.S.", "venue": "Energy Policy, 123, 83-91", "finding": "Meta-analysis of 177 published power densities across 9 generation types establishes solar as the highest-density renewable but ~3 orders of magnitude less dense than fossil generation.", "link": "https://doi.org/10.1016/j.enpol.2018.08.023" }, { "authors": "Al Garni, H.Z. & Awasthi, A.", "year": "2017", "title": "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia", "venue": "Applied Energy, 206, 1225-1240", "finding": "Provides a canonical GIS + Analytic Hierarchy Process workflow that weighted-overlays GHI, slope, aspect, temperature, and proximity to roads/transmission/load with pairwise-comparison weights and exclusion masking.", "link": "https://doi.org/10.1016/j.apenergy.2017.10.024" }, { "authors": "Hernandez, R.R., Hoffacker, M.K., & Field, C.B.", "year": "2014", "title": "Land-Use Efficiency of Big Solar", "venue": "Environmental Science & Technology, 48(2), 1315-1323", "finding": "Introduced rigorous land-use-efficiency metrics for California utility solar and showed most capacity is sited in shrubland/grassland and agricultural land rather than the developed/degraded land that minimizes ecological cost.", "link": "https://doi.org/10.1021/es4043726" }, { "authors": "Ong, S., Campbell, C., Denholm, P., Margolis, R., & Heath, G.", "year": "2013", "title": "Land-Use Requirements for Solar Power Plants in the United States", "venue": "NREL Technical Report NREL/TP-6A20-56290", "finding": "From ~72% of US utility-scale capacity, direct-area capacity-weighted average is 7.3 acres/MW_AC and total-area 8.9 acres/MW_AC (~7.9-8.3 acres/MW for PV), with generation-weighted ~3.6 acres/GWh/yr for PV.", "link": "https://docs.nrel.gov/docs/fy13osti/56290.pdf" } ] }, { "title": "Farmland conversion & land-use change", "slug": "land-use-change-farmland-conversion-prediction", "what": "Farmland-conversion modeling is mature and splits into cellular-automata pattern simulation (SLEUTH), demand-allocation driver models (CLUE-S, FUTURES), and a land-economics discrete-choice tradition, all converging on machine learning for transition potential. Because conversion is a rare event dominated by a large no-change class, the field stresses honest validation (quantity/allocation disagreement rather than Kappa, spatial cross-validation, lift) and warns that ordinary land-cover products under-detect low-density exurban development and that CDL-derived change is contaminated by reclassification. American Farmland Trust's Farms Under Threat, built on Theobald's high-resolution land-use map, is the authoritative U.S. product and projects ~16% (~125k ac) of NJ farmland lost by 2040 under business-as-usual.", "relevance": "This body of work is screening-grade validation and narrative scaffolding for Atlas's conversion-pressure model and conservation-targeting product, supplying peer benchmarks, driver selection, and rare-event validation framing, while remaining evidence/context rather than any per-parcel prediction guarantee.", "citations": [ { "authors": "American Farmland Trust", "year": "2022", "title": "Farms Under Threat 2040: Choosing an Abundant Future. AFT, with Conservation Science Partners and Univ. of Wisconsin-Madison SAGE.", "venue": "AFT, with Conservation Science Partners and Univ. of Wisconsin-Madison SAGE", "finding": "The flagship national farmland-conversion scenario projection (2016-2040) converts 18.4M acres under Business-as-Usual and 24.4M under Runaway Sprawl, with the NJ companion projecting ~124,952 ac (~16% of NJ farmland) lost under BAU and up to ~157,204 ac under Runaway Sprawl, low-density residential being the dominant threat.", "link": "https://farmlandinfo.org/publications/farms-under-threat-2040/" }, { "authors": "Lark, T.J., Spawn, S.A., Bougie, M., & Gibbs, H.K.", "year": "2020", "title": "Cropland expansion in the United States produces marginal yields at high costs to wildlife. Nature Communications, 11, 4295.", "venue": "Nature Communications, 11, 4295", "finding": "Uses USDA Cropland Data Layer time series to map cropland expansion/abandonment and its environmental costs, and is a methodological caution that CDL-derived change requires careful handling of misclassification and reclassification.", "link": "https://doi.org/10.1038/s41467-020-18045-y" }, { "authors": "Dunnett, S., Sorichetta, A., Taylor, G., & Eigenbrod, F.", "year": "2020", "title": "Harmonised global datasets of wind and solar farm locations and power. Scientific Data, 7, 130. (and companion solar-on-cropland analyses, e.g. PNAS 2025 'Ecologically informed solar...' doi:10.1073/pnas.2501605122).", "venue": "Scientific Data, 7, 130", "finding": "Establishes geospatial inventories of utility-scale solar footprints used to study land competition, with companion U.S. studies finding croplands are preferentially targeted for solar because they are flat with high insolation, framing solar siting as a new, fast-growing driver of farmland conversion.", "link": "https://doi.org/10.1038/s41597-020-0469-8" }, { "authors": "Theobald, D.M.", "year": "2014", "title": "Development and applications of a comprehensive land use classification and map for the US. PLOS ONE, 9(4), e94628.", "venue": "PLOS ONE, 9(4), e94628", "finding": "Builds a national land-USE map from ~two dozen public datasets that resolves low-density exurban development NLCD misses (built-up = 13.6% of CONUS, of which 9.1% is exurban/rural-residential), forming the data backbone of AFT's Farms Under Threat.", "link": "https://doi.org/10.1371/journal.pone.0094628" }, { "authors": "Meentemeyer, R.K., Tang, W., Dorning, M.A., Vogler, J.B., Cunniffe, N.J., & Shoemaker, D.A.", "year": "2013", "title": "FUTURES: Multilevel Simulations of Emerging Urban-Rural Landscape Structure Using a Stochastic Patch-Growing Algorithm. Annals of the Association of American Geographers, 103(4), 785-807.", "venue": "Annals of the Association of American Geographers, 103(4), 785-807", "finding": "FUTURES couples POTENTIAL (site-suitability), DEMAND (per-capita land consumption), and PGA (a stochastic patch-growing allocator that reproduces realistic patch size/shape/dispersion), explicitly capturing the spatial structure of low-density sprawl.", "link": "https://doi.org/10.1080/00045608.2012.707591" }, { "authors": "Pontius, R.G., & Millones, M.", "year": "2011", "title": "Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing, 32(15), 4407-4429.", "venue": "International Journal of Remote Sensing, 32(15), 4407-4429", "finding": "Argues Kappa indices are misleading for land-change map accuracy and replaces them with quantity disagreement and allocation disagreement, now the field-standard way to validate land-change predictions and classifications.", "link": "https://doi.org/10.1080/01431161.2011.552923" }, { "authors": "Lubowski, R.N., Plantinga, A.J., & Stavins, R.N.", "year": "2008", "title": "What drives land-use change in the United States? A national analysis of landowner decisions. Land Economics, 84(4), 529-550. (NBER WP 13572).", "venue": "Land Economics, 84(4), 529-550 (NBER WP 13572)", "finding": "Econometric discrete-choice national analysis showing net economic returns to alternative uses (especially urban/developed returns and land values) drive conversion, with high responsiveness of forest/cropland to development rents.", "link": "https://www.nber.org/papers/w13572" }, { "authors": "Jantz, P., Goetz, S., & Jantz, C.", "year": "2005", "title": "Urbanization and the loss of resource lands in the Chesapeake Bay watershed. Environmental Management, 36(6), 808-825.", "venue": "Environmental Management, 36(6), 808-825", "finding": "Quantifies projected conversion of agricultural and forest 'resource lands' to development across the Chesapeake watershed using SLEUTH outputs, linking development pressure to farmland/forest loss and water quality.", "link": "https://doi.org/10.1007/s00267-004-0315-3" }, { "authors": "Jantz, C.A., Goetz, S.J., & Shelley, M.K.", "year": "2004", "title": "Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Baltimore-Washington metropolitan area. Environment and Planning B, 31(2), 251-271.", "venue": "Environment and Planning B, 31(2), 251-271", "finding": "Canonical Mid-Atlantic SLEUTH application forecasting development and impervious surface to ~2030 under managed-growth vs. business-as-usual scenarios in the Chesapeake/Baltimore-Washington region, projecting impervious cover to more than double.", "link": "https://doi.org/10.1068/b2983" }, { "authors": "Verburg, P.H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V., & Mastura, S.S.A.", "year": "2002", "title": "Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management, 30(3), 391-405.", "venue": "Environmental Management, 30(3), 391-405", "finding": "Introduces CLUE-S, a demand-driven spatially explicit allocation model where per-cell conversion probabilities come from logistic regression on biophysical and socioeconomic drivers, then land is allocated to meet exogenous demand under conversion-elasticity and neighborhood rules.", "link": "https://doi.org/10.1007/s00267-002-2630-x" }, { "authors": "Clarke, K.C., & Gaydos, L.J.", "year": "1998", "title": "Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12(7), 699-714.", "venue": "International Journal of Geographical Information Science, 12(7), 699-714", "finding": "Establishes SLEUTH as a portable, GIS-coupled long-term forecasting tool and is the canonical citation for the model, demonstrating transferable calibration across two very different metros.", "link": "https://doi.org/10.1080/136588198241617" }, { "authors": "Clarke, K.C., Hoppen, S., & Gaydos, L.", "year": "1997", "title": "A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, 24(2), 247-261.", "venue": "Environment and Planning B: Planning and Design, 24(2), 247-261", "finding": "The foundational SLEUTH urban-growth cellular-automata model, using Slope, Land-use, Exclusion, Urban extent, Transportation, and Hillshade layers with five self-modifying growth coefficients, and still the most-applied urban-sprawl CA model worldwide.", "link": "https://doi.org/10.1068/b240247" } ] }, { "title": "Farmland succession, aging & land markets", "slug": "farmland-succession-tenure-markets", "what": "Farm transfer is a long, often-unplanned social process in which the presence (or absence) of an identified successor is a leading driver of investment behavior and eventual farm exit or sale, while land economics treats farmland price as capitalized agricultural rent plus an option premium for expected development. Roughly 10% of U.S. farmland was expected to change hands within five years (2014 TOTAL survey), and modern parcel-level, owner-linked succession prediction is largely blocked by data-access/privacy restrictions. Recent conversion-economics work finds that farmland-to-solar/wind conversion responsiveness concentrates where residential development pressure already exists.", "relevance": "This literature is screening-grade EVIDENCE/CONTEXT that a development-pressure signal is real and price-relevant and that owner-linked succession data is a genuine gap, but it never certifies the succession or conversion likelihood of any individual parcel.", "citations": [ { "authors": "Haws, A., Just, D. R., & Price, J.", "year": "2025", "title": "Who (Actually) Gets the Farm? Intergenerational Farm Succession in the United States", "venue": "American Journal of Agricultural Economics, 107(1), 3-26 (also NBER Working Paper No. 31604)", "finding": "First population-level evidence, via census record-linkage, that daughters rarely succeed, previously-tenant sons are most likely to succeed, and fewer than ~1/5 of farmers transfer to any son, while stressing that current U.S. data-linkage restrictions prevent studying modern succession at the parcel level.", "link": "https://doi.org/10.1111/ajae.12493" }, { "authors": "Johnson, K., Nogeire-McRae, T., Parton, L., Paudel, J., Williamson, M. A., & Brandt, J.", "year": "2025", "title": "Picking up the PACE: a multi-state empirical analysis of payments for agricultural conservation easement (PACE) program performance", "venue": "Environmental Research Communications, 7(9), 091007", "finding": "In a multi-state OLS analysis of ~26,000 easements, decentralized land-trust-led PACE programs target higher-quality, costlier land under greater development pressure, while centralized state programs protect a larger share of the ag base, documenting an explicit quantity-vs-quality-vs-threat trade-off in easement targeting.", "link": "https://doi.org/10.1088/2515-7620/ae009a" }, { "authors": "Fiechter, C., Kunwar, B., & Tchuente, G.", "year": "2024", "title": "Monetary Incentives, Landowner Preferences: Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy", "venue": "arXiv:2411.10600 (working paper / preprint, not yet peer-reviewed)", "finding": "Using an unordered land-use framework with county renewable-energy legislation as a preference proxy, finds that monetary incentives move farmland-to-renewable conversion decisions primarily where there is potential for future residential development, concentrating conversion responsiveness near development pressure.", "link": "https://arxiv.org/abs/2411.10600" }, { "authors": "USDA NASS", "year": "2024", "title": "2022 Census of Agriculture — Farm Producers highlights", "venue": "USDA NASS", "finding": "Documents the aging-farmer baseline (average producer age 58.1, up from 57.5 in 2017; producers 65+ up 12% while those 35-64 fell 9%; farm count down 7% to 1.9M on 880M acres with average size up to 463 acres), quantifying the 'silver tsunami' of imminent farm transfers.", "link": "https://www.nass.usda.gov/Publications/Highlights/2024/Census22_HL_FarmProducers_FINAL.pdf" }, { "authors": "American Farmland Trust", "year": "2022", "title": "Farms Under Threat 2040 — New Jersey state report (with the national Farms Under Threat / 'Development 2040' spatial scenarios)", "venue": "American Farmland Trust", "finding": "Spatially-explicit projection ranking New Jersey the 3rd most-threatened state in the lower 48, with ~124,952 acres (~16% of NJ farmland) potentially converting by 2040 under business-as-usual (rising to ~157,204 acres under runaway sprawl), disproportionately affecting the most productive/versatile land.", "link": "https://development2040.farmland.org/" }, { "authors": "Petrzelka, P., and colleagues (with ERS analyses, Amber Waves)", "year": "2021", "title": "Research on absentee/non-operator landlords (e.g., 'Absentee Landlords and Agriculture') and ERS analyses on absent-landlord prevalence", "venue": "USDA ERS Amber Waves", "finding": "Characterizes the large non-operator-landlord class (retired farmers ~38% of them; inheritance a primary acquisition route) and finds higher landlord absenteeism is associated with weaker local employment and slower per-capita income growth, though it has little measurable effect on farm real-estate values.", "link": "https://www-tx.ers.usda.gov/amber-waves/2021/april/incidence-of-absent-landlords-has-little-effect-on-u-s-agriculture-real-estate-values-research-shows" }, { "authors": "Bigelow, D., Borchers, A., & Hubbs, T.", "year": "2016", "title": "U.S. Farmland Ownership, Tenure, and Transfer", "venue": "USDA Economic Research Service, Economic Information Bulletin No. 161 (EIB-161)", "finding": "Of 911M acres of lower-48 farmland, ~61% is owner-operated and ~31% (283M acres) is rented from non-operator landlords, with landowners expecting to transfer ~91.5M acres (10% of all farmland) within five years, mostly via gift/inheritance/trust rather than open-market sale.", "link": "https://ers.usda.gov/sites/default/files/_laserfiche/publications/74672/EIB-161.pdf" }, { "authors": "USDA NASS & ERS", "year": "2015", "title": "Tenure, Ownership, and Transition of Agricultural Land (TOTAL) Survey, 2014 (special follow-on to the 2012 Census of Agriculture)", "venue": "USDA NASS & ERS", "finding": "A survey of ~40,000+ landowners that first characterized non-operator landlords, lease structures, acquisition routes, and expected transfers, becoming the empirical spine of the modern U.S. land-tenure literature (a 2024 re-fielding reports ~79-80% of rented acres owned by non-farming landlords).", "link": "https://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/TOTAL/" }, { "authors": "Lobley, M., Baker, J. R., & Whitehead, I.", "year": "2010", "title": "Farm succession and retirement: some international comparisons", "venue": "Journal of Agriculture, Food Systems, and Community Development, 1(1), 49-64", "finding": "A comparative synthesis showing succession is a long, often-unplanned process in which the presence of an identified successor reshapes on-farm investment and management years before transfer (the 'successor effect'), and the absence of a successor is a leading risk factor for farm exit/sale.", "link": "https://foodsystemsjournal.org/index.php/fsj/article/download/10/3" }, { "authors": "Errington, A., & Lobley, M. (and Tranter, R.)", "year": "1991 (and early/mid-2000s)", "title": "The FARMTRANSFERS programme, incl. Errington & Tranter (1991) and the comparative study 'Handing over the Reins: Intergenerational Farm Transfers in England, France, Canada and the USA'", "venue": "FARMTRANSFERS programme", "finding": "The foundational international survey instrument and conceptual frame that distinguishes succession (managerial control), retirement (withdrawal of the older generation), and inheritance (asset transfer) as three separable processes and emphasizes transfer of tacit local agronomic knowledge alongside assets.", "link": "https://www.farmtransition.org/international-perspectives-on-farm-succession-and-retirement-in-later-life/" }, { "authors": "Capozza, D. R., & Helsley, R. W. (extended by Plantinga, A. J., & Miller, D. J. (2001); applied in Plantinga, Lubowski & Stavins (2002))", "year": "1989", "title": "Urban-growth/option-value model of land conversion; and Plantinga, Lubowski & Stavins (2002), 'The effects of potential land development on agricultural land prices'", "venue": "Journal of Urban Economics (secondary-search synthesis; verify exact citations before quoting)", "finding": "The canonical theory that farmland price equals capitalized agricultural rent plus an option/anticipation premium for expected future development, with the option value of development capitalized into farmland prices well ahead of actual conversion.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S0264837711001281" }, { "authors": "Zhang, W., et al.", "year": "1982-2022", "title": "Iowa Farmland Ownership and Tenure Survey, 1982-2022 (Iowa State University; Ag Decision Maker) and the Iowa Land Value Survey", "venue": "Iowa State University (Ag Decision Maker)", "finding": "The longest-running state panel on farmland ownership/tenure finds rising shares of older and non-operator owners over 40 years, preferential renting-out of higher-return lower-variance land, and that higher interest rates, record prices, and investor demand are raising barriers to land access for the next generation.", "link": "https://www.extension.iastate.edu/agdm/articles/zhang/ZhaJun23.html" } ] }, { "title": "Conservation prioritization & easements", "slug": "conservation-prioritization-easements-preservation", "what": "Systematic conservation planning replaced ad hoc land protection with quantitative optimization built on complementarity, representativeness, and irreplaceability, and modern return-on-investment work shows that scoring by benefit x threat / cost (rather than benefit alone) sharply improves efficiency by avoiding land that would never have converted. Impact evaluations increasingly find that easements are placed on high-quality, less-developed land but show weak or no measurable reduction in development probability versus matched controls — the additionality problem. Credible ROI prioritization is bottlenecked by coarse cost proxies, so parcel-resolution fair-market-value estimation is a binding constraint.", "relevance": "This literature is the screening-grade academic backbone for a threat-plus-cost conservation-targeting screen, framing conversion-pressure and parcel-level cost as EVIDENCE that better targeting is possible, without asserting any per-parcel protection or conversion outcome.", "citations": [ { "authors": "Koehn, C. R., Bernard, M., Aycrigg, J. D., et al.", "year": "2025", "title": "Conservation easements target high quality lands but do not increase their quality", "venue": "Biological Conservation, 305, 111... (in press)", "finding": "A counterfactual/matching evaluation finding that US conservation easements are placed on less-developed, higher-quality lands but show no consistent reduction in development probability or improvement in ecosystem condition versus matched controls — a direct statement of the additionality problem.", "link": "https://www.sciencedirect.com/science/article/pii/S000632072500271X" }, { "authors": "Hanson, J. O., Schuster, R., Strimas-Mackey, M., Morrell, N., Edwards, B. P. M., Arcese, P., Bennett, J. R., & Possingham, H. P.", "year": "2025", "title": "Systematic conservation prioritization with the prioritizr R package", "venue": "Conservation Biology, 39, e14376", "finding": "Reference description of prioritizr, the now-dominant open-source MILP framework for conservation prioritization, supporting objectives, targets, locked-in/out constraints, budget caps, and connectivity/boundary penalties.", "link": "https://doi.org/10.1111/cobi.14376" }, { "authors": "Giakoumi, S., Richardson, A. J., Doxa, A., ... Possingham, H. P., & Katsanevakis, S.", "year": "2025", "title": "Advances in systematic conservation planning to meet global biodiversity goals", "venue": "Trends in Ecology & Evolution, 40(4), 395-410", "finding": "A current authoritative review mapping where systematic conservation planning is heading (faster/exact algorithms, ecosystem services and multi-facet biodiversity targets, climate-smart and connectivity objectives, online accessibility), noting dynamic threat and human-adaptation responses remain under-modeled.", "link": "https://doi.org/10.1016/j.tree.2024.12.002" }, { "authors": "Nolte, C.", "year": "2020", "title": "High-resolution land value maps reveal underestimation of conservation costs in the United States", "venue": "PNAS, 117(47), 29577-29583", "finding": "Built ~30m fair-market-value maps from ~6M arms-length transactions, showing coarse cost proxies (e.g. county-mean ag values) underestimate true conservation costs by factors up to ~37.5 and mis-rank parcels, establishing parcel-level cost estimation as the binding constraint on credible easement prioritization.", "link": "https://doi.org/10.1073/pnas.2012865117" }, { "authors": "Schuster, R., Hanson, J. O., Strimas-Mackey, M., & Bennett, J. R.", "year": "2020", "title": "Exact integer linear programming solvers outperform simulated annealing for solving conservation planning problems", "venue": "PeerJ, 8, e9258", "finding": "Benchmarks show exact mixed-integer-linear-programming (MILP) solvers find optimal reserve-selection solutions faster and better than Marxan's classic simulated annealing for most realistic problem sizes, underpinning the modern prioritizr toolchain.", "link": "https://doi.org/10.7717/peerj.9258" }, { "authors": "Withey, J. C., Lawler, J. J., Polasky, S., Plantinga, A. J., Nelson, E. J., Kareiva, P., et al.", "year": "2012", "title": "Maximising return on conservation investment in the conterminous USA", "venue": "Ecology Letters, 15(11), 1249-1256", "finding": "A national-scale complementarity-based heuristic incorporating species richness, cost, and threat of conversion averted far more species loss per dollar than richness-only or richness-plus-cost rules and avoided buying land not threatened with conversion.", "link": "https://doi.org/10.1111/j.1461-0248.2012.01847.x" }, { "authors": "Nelson, E., Polasky, S., Lewis, D. J., Plantinga, A. J., Lonsdorf, E., White, D., Bael, D., & Lawler, J. J.", "year": "2008", "title": "Efficiency of incentives to jointly increase carbon sequestration and species conservation on a landscape", "venue": "PNAS, 105(28), 9471-9476", "finding": "Demonstrates spatially explicit modeling of how economic incentives (e.g. carbon payments) reshape private land-use decisions and where conservation and carbon co-benefits align or trade off, providing a template for monetizing co-benefit stacking.", "link": "https://doi.org/10.1073/pnas.0706178105" }, { "authors": "Murdoch, W., Polasky, S., Wilson, K. A., Possingham, H. P., Kareiva, P., & Shaw, R.", "year": "2007", "title": "Maximizing return on investment in conservation", "venue": "Biological Conservation, 139(3-4), 375-388", "finding": "Because conservation costs vary by orders of magnitude and are poorly correlated with benefit, allocating by benefit-per-dollar (benefit x threat / cost) rather than benefit alone yields enormous efficiency gains — the canonical justification for layering cost and threat onto a benefit score.", "link": "https://doi.org/10.1016/j.biocon.2007.07.011" }, { "authors": "Newburn, D., Berck, P., & Merenlender, A. M.", "year": "2006", "title": "Habitat and open space at risk of land-use conversion: targeting strategies for land conservation", "venue": "American Journal of Agricultural Economics, 88(1), 28-42", "finding": "Efficient conservation targeting must combine spatially explicit conversion probability with parcel cost (via hedonic price plus land-use-change models), because ignoring conversion risk wastes budget on land that would never have developed (no additionality).", "link": "https://doi.org/10.1111/j.1467-8276.2006.00837.x" }, { "authors": "Moilanen, A., Franco, A. M. A., Early, R. I., Fox, R., Wintle, B., & Thomas, C. D.", "year": "2005", "title": "Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems", "venue": "Proceedings of the Royal Society B, 272(1575), 1885-1891", "finding": "Introduces the Zonation approach, a complementarity-based hierarchical cell-removal algorithm that produces a nested priority ranking of the whole landscape (every cell gets a priority value) rather than a single reserve set.", "link": "https://doi.org/10.1098/rspb.2005.3164" }, { "authors": "Margules, C. R., & Pressey, R. L.", "year": "2000", "title": "Systematic conservation planning", "venue": "Nature, 405, 243-253", "finding": "Establishes a 6-stage structured, quantitative process for reserve selection organized around complementarity, representativeness, and irreplaceability, replacing ad hoc/opportunistic land protection and forming the conceptual spine of modern siting-prioritization tools.", "link": "https://doi.org/10.1038/35012251" } ] }, { "title": "Energy-transition land use & 'energy sprawl'", "slug": "energy-transition-land-use-energy-sprawl", "what": "The literature quantifies that the land demand of decarbonization is governed by each technology's land-use intensity and that where the roughly 1% of land solar needs lands — overwhelmingly cropland today, and increasingly forest in the parcelized Northeast — is what drives conflict, not aggregate scarcity. A revisionist strand argues the farmland conflict is overstated (solar beats corn-ethanol ~31:1 on energy per acre and 'ecovoltaic' conversion can net-increase ecosystem services), while conservation-siting work shows net-zero is achievable by steering to disturbed/low-impact lands — though contaminated-land siting carries a documented 14-33% cost premium, making it an incentive-driven preference rather than a least-cost outcome. Spatial-ML siting models confirm solar location is predictable from public covariates, with transmission proximity a top predictor.", "relevance": "This is the academic spine validating Atlas's framing (dual-use on unpreserved farmland, brownfield/landfill CSEP siting, conversion-pressure ML, conservation targeting) at a screening/context level; the papers corroborate the method and narrative but do not certify any individual parcel's suitability or economics.", "citations": [ { "authors": "Wu, G. C., Min, Y., Deshmukh, R., Cartwright, P., DeCesaro, J., Kerstan, D., Somasundaram, D., & Strecker, H.", "year": "2026", "title": "Factors shaping the siting of utility-scale solar and wind projects in the United States. Environmental Research Letters, 21(9), 094xxx.", "venue": "Environmental Research Letters", "finding": "Using logistic/lasso regression, random forest, and XGBoost with balanced presence/pseudo-absence sampling on 2017-2023 US project data, finds solar has greater siting flexibility, clusters near population/infrastructure, avoids forest/riparian, and that transmission and substation proximity is critical.", "link": "https://doi.org/10.1088/1748-9326/ae5faa" }, { "authors": "Sturchio, M. A., Gallaher, A., & Grodsky, S. M.", "year": "2025", "title": "Ecologically informed solar enables a sustainable energy transition in US croplands. PNAS, 122(17), e2501605122.", "venue": "PNAS", "finding": "Converting just 3.2% of the ~12 million ha of US cropland grown for corn-ethanol to solar would raise solar's national share from 3.9% to 13% (1 ha solar ~= 31 ha corn-ethanol energy), and solar plus perennial vegetation can cut nutrient runoff up to 85% and add pollinator habitat — arguing the land-use conflict is partly illusory.", "link": "https://doi.org/10.1073/pnas.2501605122" }, { "authors": "Wear, D. N., Wingenroth, J., & Bartuska, A. M.", "year": "2025", "title": "Converting Forests to Solar Facilities: Causes, Potential, and Implications. Resources for the Future (RFF) report.", "venue": "Resources for the Future (RFF)", "finding": "The Mid-Atlantic/Eastern-Seaboard anchor: forests are currently ~2-5% of US solar conversions but rising as ag land grows scarce, with eastern states dominating forest conversion; net carbon math favors solar but local habitat/hydrology impacts concentrate geographically.", "link": "https://www.rff.org/publications/reports/converting-forests-to-solar-facilities-causes-potential-and-implications/" }, { "authors": "Walston, L. J., et al. / NREL InSPIRE program", "year": "2024", "title": "Insect community response and ecosystem services of native-vegetation solar (ecovoltaics), Minnesota solar-pollinator sites. NREL technical reports & peer-reviewed papers (e.g., docs.nrel.gov/docs/fy24osti/88651.pdf).", "venue": "NREL InSPIRE program", "finding": "The longest-running (6+ yr) US field evidence that native prairie can be established under utility-scale panels: insect abundance tripled over 5 years at two Minnesota pollinator sites, and NREL's 2024 Solar Grazing Census counts ~113,050 sheep grazing ~129,000 acres across 500+ sites in 30 states.", "link": "https://www.nrel.gov/manufacturing/news/program/2024/utility-scale-solar-fields-can-foster-abundant-biodiversity" }, { "authors": "Cohen, B. S., Wu, G. C., et al. / The Nature Conservancy (modeling by Evolved Energy Research, RIO/EnergyPATHWAYS)", "year": "2023", "title": "Power of Place: National — Technical Briefing. The Nature Conservancy.", "venue": "The Nature Conservancy", "finding": "The leading NGO conservation-siting analysis: instead of hard exclusions, assigns each candidate project a social+environmental score and runs capacity-expansion to net-zero, concluding the US can meet net-zero while largely avoiding high-conservation and prime-ag land by steering to disturbed/low-impact lands, rooftops, and brownfields.", "link": "https://www.nature.org/content/dam/tnc/nature/en/documents/TNC_Power_of_Place_National_Technical_Briefing.pdf" }, { "authors": "Lopez, A., et al.", "year": "2022", "title": "Land-use intensity of electricity production and tomorrow's energy landscape. PLOS ONE, 17(7), e0270155.", "venue": "PLOS ONE", "finding": "Updates the land-use-intensity-of-energy literature with real-world site data across all major electricity sources spanning ~4 orders of magnitude (nuclear ~7.1 ha/TWh/yr to dedicated biomass ~58,000 ha/TWh/yr), providing modern empirically grounded per-technology land-intensity coefficients.", "link": "https://doi.org/10.1371/journal.pone.0270155" }, { "authors": "Kruitwagen, L., Story, K. T., Friedrich, J., Byers, L., Skillman, S., & Hepburn, C.", "year": "2021", "title": "A global inventory of photovoltaic solar energy generating units. Nature, 598, 604-610.", "venue": "Nature", "finding": "Built the first global machine-learning-derived inventory of utility-scale PV (68,661 facilities) from Sentinel-2/SPOT6-7 imagery, finding the majority of utility-scale PV worldwide is sited on cropland, then aridland and grassland — documenting solar-on-farmland as the global default.", "link": "https://doi.org/10.1038/s41586-021-03957-7" }, { "authors": "van de Ven, D.-J., Capellan-Perez, I., Arto, I., Cazcarro, I., de Castro, C., Patel, P., & Gonzalez-Eguino, M.", "year": "2021", "title": "The potential land requirements and related land use change emissions of solar energy. Scientific Reports, 11, 2907.", "venue": "Scientific Reports", "finding": "An integrated-assessment estimate finding that at 25-80% solar penetration by 2050 solar may occupy 0.5-5% of total land, with resulting land-cover change releasing a net 0-50 gCO2/kWh depending on region, efficiency, and in-array land management.", "link": "https://doi.org/10.1038/s41598-021-82042-5" }, { "authors": "Larson, E., Greig, C., Jenkins, J., Mayfield, E., Pascale, A., Zhang, C., et al.", "year": "2021", "title": "Net-Zero America: Potential Pathways, Infrastructure, and Impacts (Final Report). Princeton University, Andlinger Center / High Meadows Environmental Institute.", "venue": "Princeton University, Andlinger Center / High Meadows Environmental Institute", "finding": "The canonical US net-zero land-footprint study: the most wind-intensive pathway would require ~250 million acres for wind and on the order of ~1,075,000 km2 for wind+solar combined, providing the upper-bound land-demand figure motivating the conflict-avoidance/disturbed-land agenda.", "link": "https://netzeroamerica.princeton.edu/" }, { "authors": "Trainor, A. M., McDonald, R. I., & Fargione, J.", "year": "2016", "title": "Energy Sprawl Is the Largest Driver of Land Use Change in United States. PLOS ONE, 11(9), e0162269.", "venue": "PLOS ONE", "finding": "Projects >200,000 km2 directly impacted by US energy development through 2040 (>800,000 km2 including spacing/setbacks), with the energy development rate (~6,900 km2/yr) exceeding historic urban/residential and projected ag/developed change — making energy the single largest land-conversion driver in the US.", "link": "https://doi.org/10.1371/journal.pone.0162269" }, { "authors": "McDonald, R. I., Fargione, J., Kiesecker, J., Miller, W. M., & Powell, J.", "year": "2009", "title": "Energy sprawl or energy efficiency: Climate policy impacts on natural habitat for the United States of America. PLOS ONE, 4(8), e6802.", "venue": "PLOS ONE", "finding": "The foundational 'energy sprawl' paper: defines energy sprawl = total energy produced x land-use intensity, finds land-use intensity spans 3 orders of magnitude, and projects >=206,000 km2 of US habitat impacted by 2030 regardless of climate policy, with biofuels dominating despite providing <5% of energy.", "link": "https://doi.org/10.1371/journal.pone.0006802" } ] }, { "title": "Renewable land economics & acquisition", "slug": "renewable-land-economics-acquisition", "what": "The peer-reviewed consensus is that utility-scale solar imposes at most a small, short-range residential property-value effect (roughly 1.5-4.8% within about half a mile to three miles, decaying with distance and best explained as perception/stigma, not physical harm) and simultaneously RAISES nearby agricultural/vacant land values (~19% within two miles) by signaling leasability and transmission access. Land-lease/option economics (~$10-50/acre/yr options, ~$500-1,400/acre/yr operating leases) and site-control practice are well-documented in extension/legal sources but lack rigorous peer-reviewed, parcel-level data; who actually converts is driven by future development potential and county regulation more than lease price.", "relevance": "Provides a defensible, peer-reviewed evidence base for framing (not certifying) siting objections, land-value uplift, and lease/option economics at the screening level in dossiers, while exposing a lease-rate data gap Atlas's parcel substrate could fill.", "citations": [ { "authors": "Hu, C., Chen, Z., & Liu, P.", "year": "2025", "title": "Impact of large-scale solar on property values in the United States: Diverse effects and causal mechanisms", "venue": "Proceedings of the National Academy of Sciences (PNAS), 122", "finding": "Across 3,699 large-scale solar PV sites and ~8.8-9 million transactions, homes within ~3 mi lost on average ~4.8% of value (a perception/stigma effect that decays with distance and time and is absent for lots >5 acres), while nearby agricultural and vacant land within 2 miles GAINED ~19.4% in value from future solar-leasing option value.", "link": "https://www.pnas.org/doi/10.1073/pnas.2418414122" }, { "authors": "Bolinger, M., Seel, J., Mulvaney Kemp, J., et al.", "year": "2024", "title": "Utility-Scale Solar: Empirical Trends in Deployment, Technology, Cost, Performance, PPA Pricing, and Value in the United States", "venue": "Lawrence Berkeley National Laboratory (Energy Markets & Planning); annual, latest 2024-2025 editions", "finding": "Recent-vintage levelized PPA prices average ~$35/MWh (2023$), roughly $20-30/MWh in the West and $30-40/MWh elsewhere, bounding what a developer can pay for land/lease.", "link": "https://emp.lbl.gov/utility-scale-solar" }, { "authors": "Elmallah, S., Hoen, B., Fujita, K. S., Robson, D., & Brunner, E.", "year": "2023", "title": "Shedding light on large-scale solar impacts: An analysis of property values and proximity to photovoltaics across six U.S. states", "venue": "Energy Policy, 175, 113425 (Lawrence Berkeley National Laboratory)", "finding": "Across >1,500 large-scale PV projects and >1.8M home transactions in six states, homes within 0.5 mi see an average ~1.5% price reduction versus homes 2-4 mi away, with no statistically measurable effect beyond ~1 mi.", "link": "https://emp.lbl.gov/publications/shedding-light-large-scale-solar" }, { "authors": "Abashidze, N., & Taylor, L. O.", "year": "2023", "title": "Utility-Scale Solar Farms and Agricultural Land Values", "venue": "Land Economics, 99(3), 327-342 (Georgia Tech)", "finding": "In North Carolina, solar farms have no direct spillover on nearby agricultural land values but can indirectly raise them by signaling suitability for future solar development, and proximity to transmission lines becomes positively valued after a nearby solar farm is built.", "link": "https://le.uwpress.org/content/99/3/327" }, { "authors": "Maddison, D., Ogier, R., & Beltran, A.", "year": "2023", "title": "The Disamenity Impact of Solar Farms: A Hedonic Analysis", "venue": "Land Economics, 99(1), 1-16", "finding": "In England & Wales, dwellings within 750 m and south of an operational solar farm >5 MW suffer a ~5.4% relative price reduction; the effect is directional (south-facing/visible) and decays rapidly with distance.", "link": "https://le.uwpress.org/content/99/1/1" }, { "authors": "Hall, P. K.", "year": "2021", "title": "Farmland Owner's Guide to Solar Leasing (companion: SEIA, A Guide to Land Leases for Solar)", "venue": "Ohio State University Extension / National Agricultural Law Center (OSU Farm Office); SEIA 2016/updated", "finding": "Documents site-control practice: the standard letter-of-intent/term-sheet then 2-3 yr option then 20-40 yr lease sequence, the warning that the first signed document legally commits the landowner to long-term terms, and title/due-diligence and dual-use clauses.", "link": "https://farmoffice.osu.edu/sites/aglaw/files/site-library/Farmland_Owner's_Guide_to_Solar_Leasing.pdf" }, { "authors": "Hoen, B., Brown, J. P., Jackson, T., Thayer, M. A., Wiser, R., & Cappers, P.", "year": "2015", "title": "Spatial Hedonic Analysis of the Effects of US Wind Energy Facilities on Surrounding Property Values", "venue": "The Journal of Real Estate Finance and Economics, 51(1), 22-51 (LBNL report LBNL-6362E)", "finding": "Across >50,000 home sales near 67 wind facilities in 27 counties across 9 states, found no statistically significant impact of operating turbines on home sale prices.", "link": "https://emp.lbl.gov/publications/spatial-hedonic-analysis-effects-us" }, { "authors": "Hoen, B., Wiser, R., Cappers, P., Thayer, M., & Sethi, G.", "year": "2011", "title": "Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices", "venue": "Journal of Real Estate Research, 33(3), 279-316", "finding": "Across ~7,500 home sales near 24 US wind facilities and four model specifications, neither distance to nor view of turbines had a statistically significant effect on sale prices.", "link": "https://ideas.repec.org/a/jre/issued/v33n32011p279-316.html" } ] }, { "title": "Renewable policy, incentives & community solar", "slug": "renewable-policy-incentives-community-solar", "what": "Federal IRA incentives were well-quantified as roughly doubling solar+wind deployment and cutting 2030 emissions to ~33-42% below 2005, but the 2025 OBBBA rollback now compresses that window with placed-in-service cliffs and FEOC thresholds. NJ's SREC market was shown to be structurally volatile (motivating the pivot to fixed SuSI incentives), while the solar-equity literature establishes that community solar reaches renter/LMI households that rooftop misses. Rigorous parcel-level, ownership-aware land-use-conversion modeling remains largely absent from the peer-reviewed canon.", "relevance": "These works are screening-grade evidence for how NJ solar incentive economics and dual-use/community-solar policy should be framed in a dossier, not a certification of any individual parcel's incentive eligibility.", "citations": [ { "authors": "Min, Y., Brinkerink, M., Jenkins, J. D., & Mayfield, E.", "year": "2025", "title": "Effects of the Inflation Reduction Act on renewable energy manufacturing and development costs and deployment", "venue": "Environmental Research: Energy, 2(4), 045010", "finding": "Quantifies how the ITC/PTC plus the 45X manufacturing credit lower utility-scale solar LCOE: ~9% for base-rate ITC, ~43% for bonus-rate, plus a further 6-20% from energy-community and domestic-content adders.", "link": "https://doi.org/10.1088/2753-3751/ae17d1" }, { "authors": "Macy, A., Swanson, T., Seay-Fleming, C., Gerlak, A. K., & Barron-Gafford, G. A.", "year": "2025", "title": "Designing for dual-use solar: An examination of the agrivoltaic policy landscape in the United States", "venue": "Energy Policy, 205, 114682", "finding": "Reviews every US federal and state agrivoltaic/dual-use policy, organizing them into four archetypes (pollinator scorecards, use-value assessment laws, research funding, feed-in-tariff/incentive programs) and names NJ among states advancing dual-use.", "link": "https://doi.org/10.1016/j.enpol.2025.114682" }, { "authors": "O'Shaughnessy, E., et al. / Forrester, S., et al.", "year": "2024", "title": "Community solar reaches adopters underserved by rooftop solar", "venue": "Nature Energy, 9", "finding": "Recent empirical confirmation that community-solar subscribers skew toward demographics rooftop solar misses (renters, LMI, lower-credit households), validating community solar as an equity-delivery mechanism.", "link": "https://doi.org/10.1038/s41560-024-01575-x" }, { "authors": "Bistline, J., Blanford, G., Brown, M., Burtraw, D., Domeshek, M., Farbes, J., ... Zhao, A.", "year": "2023", "title": "Emissions and Energy Impacts of the Inflation Reduction Act", "venue": "Science, 380(6652), 1324-1327", "finding": "A 9-model intercomparison estimates the IRA cuts economy-wide emissions to 33-40% below 2005 by 2030 (vs 25-31% without it), with the power sector driving 38-80% of reductions and solar+wind deployment averaging ~58 GW/yr.", "link": "https://doi.org/10.1126/science.adg3781" }, { "authors": "Barbose, G.", "year": "2023-24", "title": "U.S. Renewables Portfolio Standards: Annual Status Report", "venue": "Lawrence Berkeley National Laboratory", "finding": "The canonical longitudinal tracker of every state RPS/CES, including NJ's solar carve-out, SACP schedules, compliance status, and design features (banding, carve-outs, multipliers) that determine SREC/REC value.", "link": "https://emp.lbl.gov/projects/renewables-portfolio" }, { "authors": "O'Shaughnessy, E., Barbose, G., Wiser, R., Forrester, S., & Darghouth, N.", "year": "2021", "title": "The impact of policies and business models on income equity in rooftop solar adoption", "venue": "Nature Energy, 6(1), 84-91", "finding": "Using a large national adopter-income dataset, shows LMI households underadopt rooftop PV and that third-party ownership, PACE-style financing, and LMI-targeted incentives measurably raise adoption equity.", "link": "https://doi.org/10.1038/s41560-020-00724-2" }, { "authors": "Hayibo, K. S., & Pearce, J. M.", "year": "2021", "title": "A review of the value of solar methodology with a case study of the U.S. VOS", "venue": "Renewable and Sustainable Energy Reviews, 137, 110599", "finding": "A comprehensive review of value-of-solar (VOS) tariff methodology as the bottom-up summation of avoided fuel, generation/T&D capacity, line-loss, hedge, and environmental/health values, the analytical alternative to net metering.", "link": "https://doi.org/10.1016/j.rser.2020.110599" }, { "authors": "Wiser, R., Barbose, G., Heeter, J., Mai, T., Bird, L., Bolinger, M., ... Millstein, D.", "year": "2016", "title": "A Retrospective Analysis of the Benefits and Impacts of U.S. Renewable Portfolio Standards", "venue": "LBNL/NREL (LBNL-1003961)", "finding": "Foundational national-lab assessment quantifying RPS-driven renewable capacity, compliance costs, and co-benefits (avoided emissions, water, jobs).", "link": "https://emp.lbl.gov/publications/retrospective-analysis-benefits-and" }, { "authors": "Coulon, M., Khazaei, J., & Powell, W. B.", "year": "2015", "title": "SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market", "venue": "Journal of Environmental Economics and Management, 73, 13-31", "finding": "A stochastic price model with a price-to-generation feedback loop, calibrated and backtested to NJ, shows how RPS schedule, banking rules, and the SACP ceiling drive extreme SREC price volatility.", "link": "https://doi.org/10.1016/j.jeem.2015.05.004" } ] }, { "title": "Grid interconnection & hosting capacity", "slug": "grid-interconnection-hosting-capacity-distribution-planning", "what": "The interconnection queue is now the binding constraint on US solar/storage deployment, with ~2,600+ GW queued, ~5-year waits, and historically under 25% of entrants reaching operation; high interconnection cost causally drives project withdrawal and can be ~25% of install cost. Parcel-level locational grid value is real but extremely concentrated in a thin tail (top 5% of parcels), validating parcel-screening, while advanced hosting-capacity methods (QSTS, ML surrogates) and distribution locational-value theory (DLMP/LMV) formalize where a DER is worth most.", "relevance": "These works give screening-grade, PJM/NJ-relevant grounding for adding an interconnection-feasibility and grid-proximity dimension to a dossier, framed as evidence and context rather than a per-parcel guarantee of interconnection cost or headroom.", "citations": [ { "authors": "Rand, J., Seel, J., Gorman, W., Wiser, R., et al.", "year": "2025", "title": "Queued Up: 2025 Edition — Characteristics of Power Plants Seeking Transmission Interconnection As of the End of 2024", "venue": "Lawrence Berkeley National Laboratory (LBNL) report + interactive data", "finding": "The definitive annual census of US interconnection queues: ~2,600+ GW queued (>95% zero-carbon), typical waits stretched to ~5 years, and historically <25% of 2000-2018 entrants reached operation.", "link": "https://emp.lbl.gov/queues" }, { "authors": "Qammar, N., et al.", "year": "2024", "title": "Machine learning based hosting capacity determination methodology for low voltage distribution networks", "venue": "IET Generation, Transmission & Distribution", "finding": "Trains Random Forest / SVM / regression surrogates on 503 simulated realistic LV feeders to predict hosting capacity without full per-feeder power-flow runs, demonstrating ML can approximate expensive HCA at scale.", "link": "https://doi.org/10.1049/gtd2.12933" }, { "authors": "Mulder, W., Jain, R., Brockway, A., Seel, J., Gorman, W., et al.", "year": "2023-2024", "title": "Interconnection Cost Analysis in the PJM / MISO / NYISO Territory (and the 2026 non-ISO Balancing Authorities update)", "venue": "LBNL technical reports", "finding": "Solar interconnection costs ~$209/kW vs gas ~$108/kW (MISO 2018-21); broad network-upgrade costs (not the local tie-in) drive increases, and withdrawn PJM projects faced far higher mean costs (~$599/kW) than survivors (~$240/kW).", "link": "https://emp.lbl.gov/publications/generator-interconnection-costs-0" }, { "authors": "Johnston, S., Liu, Y., & Yang, C.", "year": "2023", "title": "An Empirical Analysis of the Interconnection Queue", "venue": "NBER Working Paper 31946", "finding": "Using PJM data (4,174 requests + 7,492 studies, 2008-2020), instrumental-variables identification shows high interconnection cost causally drives withdrawal (2nd-study cost >$0.1M/MW ~33% more likely to drop out) and quantifies a congestion externality, while entry fees alone do not much cut wait times.", "link": "https://www.nber.org/papers/w31946" }, { "authors": "U.S. FERC", "year": "2023", "title": "Order No. 2023: Improvements to Generator Interconnection Procedures and Agreements (and the 2024 Order 2023-A rehearing)", "venue": "U.S. Federal Energy Regulatory Commission", "finding": "The landmark federal interconnection-reform rule mandating first-ready/cluster study processes, higher deposits and withdrawal penalties to deter speculative projects, and firm study deadlines with penalties.", "link": "https://www.ferc.gov/explainer-interconnection-final-rule" }, { "authors": "Bowen, T., Koebrich, S., McCabe, K., & Sigrin, B.", "year": "2022", "title": "The locational value of distributed energy resources: A parcel-level evaluation of solar and wind potential in New York state", "venue": "Energy Policy, 166, 112744", "finding": "NREL's dGen model scored every NY parcel for solar/wind locational value and found value highly concentrated: most parcels earn ~$0.01/kWh for deferred T&D while the top 5% earn $0.035-0.089/kWh.", "link": "https://doi.org/10.1016/j.enpol.2021.112744" }, { "authors": "Mulcahy, M. (Ismael, K.) et al.", "year": "2022", "title": "A Review of Methods for Assessing DER Hosting Capacity of Power Distribution Systems", "venue": "IEEE Latin America Transactions / IEEE Xplore document 9885165", "finding": "A survey taxonomizing hosting-capacity methods into four families (simplified/streamlined, deterministic load-flow, stochastic load-flow, optimization-based) and flagging the lack of standardized, benchmarked methodologies.", "link": "https://ieeexplore.ieee.org/document/9885165" }, { "authors": "Andrianesis, P., Caramanis, M., Masiello, R., Tabors, R., & Bahramirad, S.", "year": "2020", "title": "Locational Marginal Value of Distributed Energy Resources as Non-Wires Alternatives", "venue": "IEEE Transactions on Smart Grid, 11(2), 1577-1588", "finding": "A formal framework for the short-term Locational Marginal Value of DERs as non-wires alternatives, monetized via the Marginal Cost of Capacity of the best grid investment they defer, applied to two real overloaded feeders.", "link": "https://ieeexplore.ieee.org/document/8543871" }, { "authors": "Palmintier, B., Mather, B., et al.", "year": "2020", "title": "Dynamic hosting capacity analysis for distributed photovoltaic resources—Framework and case study", "venue": "Applied Energy, 280, 115633", "finding": "NREL's quasi-static time-series (QSTS) hosting-capacity method simulates a full year of PV, load, and voltage-regulation behavior rather than a worst-case snapshot, yielding materially higher (less conservative) hosting capacity.", "link": "https://doi.org/10.1016/j.apenergy.2020.115633" }, { "authors": "Caramanis, M., Ntakou, E., Hogan, W. W., Chakrabortty, A., & Schoene, J.", "year": "2016", "title": "Co-Optimization of Power and Reserves in Dynamic T&D Power Markets With Nondispatchable Renewable Generation and Distributed Energy Resources", "venue": "Proceedings of the IEEE, 104(4), 807-836", "finding": "The foundational paper formalizing Distribution Locational Marginal Prices (DLMP) and a tractable architecture for joint transmission+distribution LMP discovery with DERs.", "link": "https://doi.org/10.1109/JPROC.2016.2520758" } ] }, { "title": "Remote sensing & land monitoring", "slug": "remote-sensing-land-monitoring-methods", "what": "Classifying land-cover STATE is now reliable (the CDL binary cropland mask is ~97%+ and 3DEP QL2 LiDAR meets ~10 cm vertical spec), but detecting land-cover CHANGE remains hard and statistically fragile: naive pixel-by-pixel CDL differencing inflates 'change' by roughly an order of magnitude, so multi-year consensus rules and probability-sample validation are required. Building-footprint completeness and geometric fidelity degrade from urban to rural and for small structures (recall falls off below ~200 m2), and a strong NJ-specific Rutgers CRSSA/Rowan land-change record independently quantifies ~10% net farmland loss.", "relevance": "Validates Atlas's public, non-PII remote-sensing stack and its 'screen, not calibrated predictor' framing while flagging concrete screening-grade caveats (rural footprint undercount, CDL minor-class noise) that dossiers should hedge rather than assert per-parcel.", "citations": [ { "authors": "Lathrop, R. G., & Hasse, J.", "year": "2025", "title": "Changing Landscapes in the Garden State: Land Use/Land Cover Change in New Jersey 1986-2020", "venue": "Rutgers CRSSA / Rowan University report (statewide NJDEP NJLULCC analysis)", "finding": "The authoritative NJ-specific land-change series documents ~86,884 acres (~10.5%) net agricultural land loss and impervious-surface growth converting farmland/forest to development.", "link": "https://crssa.rutgers.edu/projects/lc/" }, { "authors": "Bai, T., Wang, L., Yin, D., et al.", "year": "2023", "title": "Deep learning for change detection in remote sensing: a review / comprehensive survey", "venue": "Artificial Intelligence Review and related meta-analyses", "finding": "Survey consolidating the shift from index/threshold change detection to deep Siamese, fully-convolutional, and transformer-based bitemporal and semantic change-detection networks, establishing current SOTA and the open problem that high-res supervised change detection needs large labelled bitemporal datasets.", "link": "https://doi.org/10.1007/s10462-026-11501-0" }, { "authors": "Stid, J. T., Shukla, S., Anctil, A., et al.", "year": "2022", "title": "Solar array placement, electricity generation, and cropland displacement across California's Central Valley", "venue": "Science of the Total Environment, 851, 158370", "finding": "Quantifies via remote-sensing array delineation plus CDL how ground-mounted solar displaces specific cropland classes and the resulting generation-versus-food-production tradeoff.", "link": "https://doi.org/10.1016/j.scitotenv.2022.158370" }, { "authors": "Stoker, J., & Miller, B.", "year": "2022", "title": "The Accuracy and Consistency of 3D Elevation Program (3DEP) Data: A Systematic Analysis", "venue": "Remote Sensing, 14(4), 940", "finding": "Systematic national assessment confirms USGS 3DEP lidar-derived DEMs generally meet or exceed the Lidar Base Specification (QL2 ~10 cm RMSEz) for non-vegetated vertical accuracy, validating public DEM-derived slope/aspect/viewshed inputs.", "link": "https://doi.org/10.3390/rs14040940" }, { "authors": "Lark, T. J., Schelly, I. H., & Gibbs, H. K.", "year": "2021", "title": "Accuracy, Bias, and Improvements in Mapping Crops and Cropland across the United States Using the USDA Cropland Data Layer", "venue": "Remote Sensing, 13(5), 968", "finding": "The generic cropland/non-cropland distinction is highly accurate (~97%+) and stable, but per-pixel crop-type accuracy for minor crops and grass/pasture/hay is much lower and year-to-year variable, and naive year-to-year pixel differencing massively over-counts change due to classification noise.", "link": "https://doi.org/10.3390/rs13050968" }, { "authors": "Sirko, W., Kashubin, S., Ritter, M., et al.", "year": "2021", "title": "Continental-scale building detection from high resolution satellite imagery (Google Open Buildings)", "venue": "arXiv:2107.12283", "finding": "A U-Net instance-segmentation pipeline trained on 1.75M manually labelled buildings produces the Open Buildings dataset (~1.8B footprints across Africa, S/SE Asia, and Latin America), serving as the leading alternative/complement to Microsoft footprints though it excludes the US.", "link": "https://arxiv.org/abs/2107.12283" }, { "authors": "Pengra, B. W., Stehman, S. V., Horton, J. A., et al.", "year": "2020", "title": "Validation of the U.S. Geological Survey's Land Change Monitoring, Assessment and Projection (LCMAP) Collection 1.0 annual land cover products 1985-2017", "venue": "Remote Sensing of Environment, 257, 112357", "finding": "Design-based validation using ~25,000+ human-interpreted reference plots reports strong land-cover-state agreement but documents that land-CHANGE detection accuracy is much lower, because change is rare and hard.", "link": "https://doi.org/10.1016/j.rse.2020.112357" }, { "authors": "Heris, M. P., Foks, N. L., Bagstad, K. J., Troy, A., & Ancona, Z. H.", "year": "2020", "title": "A rasterized building footprint dataset for the United States", "venue": "Scientific Data, 7, 207", "finding": "Converts Microsoft US footprint vectors into 30 m raster summary layers and validates them in three urban areas, finding high precision but sharply dropping recall for buildings under 200 m2.", "link": "https://doi.org/10.1038/s41597-020-0542-3" }, { "authors": "Microsoft", "year": "2018-2023", "title": "US Building Footprints (124.9M) and Global ML Building Footprints (~1.4B)", "venue": "Open data, GeoJSON; repos microsoft/USBuildingFootprints and microsoft/GlobalMLBuildingFootprints", "finding": "CNN-segmentation footprint corpus with self-reported <1% false positives, regional precision ~92-97% and recall ~71-86% (IoU ~63-68%), but recall and geometry degrade in rural areas and for small/agricultural structures.", "link": "https://github.com/microsoft/GlobalMLBuildingFootprints" }, { "authors": "Lark, T. J., Mueller, R. M., Johnson, D. M., & Gibbs, H. K.", "year": "2017", "title": "Measuring land-use and land-cover change using the U.S. Department of Agriculture's Cropland Data Layer: Cautions and recommendations", "venue": "International Journal of Applied Earth Observation and Geoinformation, 62, 224-235", "finding": "Single-pixel CDL differencing inflates change estimates by an order of magnitude; recommends temporal filtering, multi-year consensus/mode rules, minimum-mapping-unit aggregation, and masking unreliable classes.", "link": "https://doi.org/10.1016/j.jag.2017.06.007" }, { "authors": "Lark, T. J., Salmon, J. M., & Gibbs, H. K.", "year": "2015", "title": "Cropland expansion outpaces agricultural and biofuel policies in the United States", "venue": "Environmental Research Letters, 10(4), 044003", "finding": "Maps ~2.98 million acres of net cropland expansion (mostly grassland-to-crops) in the US from 2008-2012, much on marginal/environmentally-sensitive land, establishing a template for detecting land-use conversion at scale.", "link": "https://doi.org/10.1088/1748-9326/10/4/044003" }, { "authors": "Zhu, Z., & Woodcock, C. E.", "year": "2014", "title": "Continuous change detection and classification of land cover using all available Landsat data", "venue": "Remote Sensing of Environment, 144, 152-171", "finding": "The CCDC algorithm fits harmonic time-series models to every clear Landsat pixel and flags a break when observations deviate beyond a multi-band threshold, enabling near-continuous sub-annual land-change detection and forming the backbone of USGS LCMAP.", "link": "https://doi.org/10.1016/j.rse.2014.01.011" }, { "authors": "Boryan, C., Yang, Z., Mueller, R., & Craig, M.", "year": "2011", "title": "Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program", "venue": "Geocarto International, 26(5), 341-358", "finding": "Describes how the USDA NASS Cropland Data Layer is produced (30 m annual supervised classification trained on FSA Common Land Unit truth plus Landsat/AWiFS) and establishes that major crops are classified at ~85-95% accuracy while minor crops, pasture, grassland, and non-ag classes are far weaker.", "link": "https://doi.org/10.1080/10106049.2011.562309" }, { "authors": "Tucker, C. J.", "year": "1979", "title": "Red and photographic infrared linear combinations for monitoring vegetation", "venue": "Remote Sensing of Environment, 8(2), 127-150", "finding": "Established the Normalized Difference Vegetation Index (NDVI = (NIR-Red)/(NIR+Red)) as the workhorse vegetation/greenness index underpinning downstream crop-phenology and active-farmland-detection methods.", "link": "https://doi.org/10.1016/0034-4257(79)90013-0" } ] }, { "title": "Spatial prediction & geospatial ML", "slug": "spatial-prediction-geospatial-ml-methods", "what": "Geospatial data are spatially autocorrelated, so random k-fold cross-validation leaks information and overstates accuracy; spatial blocking / leave-one-region-out CV (as Atlas uses) is the defensible remedy, though a live debate holds that design-based probability-sample validation answers the different question of map accuracy and that the newest recipes tune fold difficulty to the prediction domain plus an Area-of-Applicability mask. For rare-event screens the mature lessons are clear: logistic MLE underestimates rare-class probability, precision-recall/lift beats AUC under imbalance, tree ensembles need post-hoc calibration to yield true probabilities, and conformal prediction is the 2024-2025 frontier for honest per-parcel uncertainty bands.", "relevance": "This is the direct methodological backbone for defending Atlas's ~0.80 spatial-CV conversion screen as a rank-ordered screen (not a calibrated per-parcel prediction), pre-empting sophisticated-buyer objections and pointing to concrete credibility upgrades (Area of Applicability masks, conformal uncertainty bands).", "citations": [ { "authors": "Linnenbrink, J., Nowosad, J., & Meyer, H.", "year": "2026", "title": "Moving beyond spatial and random cross-validation in environmental modelling: a call for prediction-domain adaptive evaluation", "venue": "arXiv preprint arXiv:2605.13689 (stat.ME); preprint, not yet peer-reviewed", "finding": "Argues CV is a continuum, not a random-vs-spatial binary, with random CV over-optimistic under clustered sampling and naive spatial CV over-pessimistic under random sampling, and proposes prediction-domain-adaptive validation that matches fold difficulty to the real prediction task.", "link": "https://arxiv.org/abs/2605.13689" }, { "authors": "Gao, S., Li, B., et al.", "year": "2025", "title": "GeoConformal prediction: a model-agnostic framework for measuring the uncertainty of spatial prediction", "venue": "Annals of the American Association of Geographers (also arXiv:2412.08661, 2024); author list approximate", "finding": "Adapts conformal prediction to spatial settings where exchangeability fails, producing per-location prediction intervals with finite-sample, distribution-free coverage guarantees, model-agnostically.", "link": "https://doi.org/10.1080/24694452.2025.2516091" }, { "authors": "Mila, C., Mateu, J., Pebesma, E., & Meyer, H.", "year": "2022", "title": "Nearest Neighbour Distance Matching Leave-One-Out Cross-Validation for map validation", "venue": "Methods in Ecology and Evolution, 13(6), 1304-1316", "finding": "NNDM tunes the train/test geographic-distance distribution in CV to match the nearest-neighbour distance between sample and prediction locations, and identifies three factors (interpolation vs extrapolation, sampling pattern, and landscape autocorrelation range) that decide which CV is correct.", "link": "https://doi.org/10.1111/2041-210X.13851" }, { "authors": "Wadoux, A. M. J.-C., Heuvelink, G. B. M., de Bruin, S., & Brus, D. J.", "year": "2021", "title": "Spatial cross-validation is not the right way to evaluate map accuracy", "venue": "Ecological Modelling, 457, 109692", "finding": "Argues that for estimating a finished map's accuracy over a defined area the statistically correct procedure is design-based validation on a probability sample, not spatial CV, which can be pessimistically biased and answers the different question of transferability to new regions.", "link": "https://doi.org/10.1016/j.ecolmodel.2021.109692" }, { "authors": "Meyer, H., & Pebesma, E.", "year": "2021", "title": "Predicting into unknown space? Estimating the area of applicability of spatial prediction models", "venue": "Methods in Ecology and Evolution, 12(9), 1620-1633", "finding": "Introduces the Area of Applicability, using a feature-importance-weighted predictor-space dissimilarity index to flag where a model's CV-estimated skill can be trusted versus where prediction is extrapolation.", "link": "https://doi.org/10.1111/2041-210X.13650" }, { "authors": "Ploton, P., Mortier, F., Rejou-Mechain, M., et al.", "year": "2020", "title": "Spatial validation reveals poor predictive performance of large-scale ecological mapping models", "venue": "Nature Communications, 11, 4540", "finding": "On a forest-biomass random forest, standard non-spatial CV implied R-squared > 0.5 while spatially-blocked validation revealed quasi-null predictive power, demonstrating that ignoring spatial autocorrelation produces overoptimistic accuracy.", "link": "https://doi.org/10.1038/s41467-020-18321-y" }, { "authors": "Valavi, R., Elith, J., Lahoz-Monfort, J. J., & Guillera-Arroita, G.", "year": "2019", "title": "blockCV: An R package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models", "venue": "Methods in Ecology and Evolution, 10(2), 225-232", "finding": "Generates spatial/environmental blocking folds and measures the spatial-autocorrelation range of covariates so block size is chosen on evidence rather than guesswork.", "link": "https://doi.org/10.1111/2041-210X.13107" }, { "authors": "Roberts, D. R., Bahn, V., Ciuti, S., Boyce, M. S., Elith, J., Guillera-Arroita, G., Hauenstein, S., Lahoz-Monfort, J. J., Schroder, B., Thuiller, W., Warton, D. I., Wintle, B. A., Hartig, F., & Dormann, C. F.", "year": "2017", "title": "Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure", "venue": "Ecography, 40(8), 913-929", "finding": "When data carry spatial structure, random k-fold CV leaks information across the train/test split and underestimates true prediction error; recommends block cross-validation split by region to recover honest generalization estimates.", "link": "https://doi.org/10.1111/ecog.02881" }, { "authors": "Guo, C., Pleiss, G., Sun, Y., & Weinberger, K. Q.", "year": "2017", "title": "On calibration of modern neural networks", "venue": "Proceedings of the 34th International Conference on Machine Learning (ICML), 1321-1330", "finding": "Modern high-capacity models are systematically over-confident, and one-parameter temperature scaling fit on a validation set restores calibration cheaply, popularizing Expected Calibration Error and reliability diagrams as diagnostics.", "link": "https://proceedings.mlr.press/v70/guo17a.html" }, { "authors": "Lundberg, S. M., & Lee, S.-I.", "year": "2017", "title": "A unified approach to interpreting model predictions", "venue": "Advances in Neural Information Processing Systems 30 (NeurIPS), 4765-4774", "finding": "Introduces SHAP, game-theoretic per-prediction feature attributions (with a fast exact TreeSHAP for gradient-boosted trees) as the de facto standard for explaining tree-ensemble outputs, with the caveat that attributions can be unstable under correlated features.", "link": "https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions" }, { "authors": "Saito, T., & Rehmsmeier, M.", "year": "2015", "title": "The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets", "venue": "PLOS ONE, 10(3), e0118432", "finding": "ROC/AUC is optimistic and misleading under heavy class imbalance because the negative class dominates the false-positive-rate axis, so precision-recall, PR-AUC, and top-decile lift are more honest metrics for a rare-event screen.", "link": "https://doi.org/10.1371/journal.pone.0118432" }, { "authors": "Brenning, A.", "year": "2012", "title": "Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The R package sperrorest", "venue": "IEEE IGARSS 2012, 5372-5375", "finding": "An early, influential formalization of spatial CV/bootstrap for geospatial prediction, establishing that accuracy assessment of a spatial prediction rule must use spatially-aware resampling.", "link": "https://doi.org/10.1109/IGARSS.2012.6352393" }, { "authors": "Dormann, C. F., McPherson, J. M., Araujo, M. B., Bivand, R., Bolliger, J., Carl, G., et al.", "year": "2007", "title": "Methods to account for spatial autocorrelation in the analysis of species distributional data: a review", "venue": "Ecography, 30(5), 609-628", "finding": "The foundational review of spatial autocorrelation, explaining why it violates the i.i.d.-errors assumption, inflates Type-I error, and biases coefficient estimates, and reviewing autocovariate regression, SAR/CAR, GLS, GLMM, and GEE remedies.", "link": "https://doi.org/10.1111/j.2007.0906-7590.05171.x" }, { "authors": "Niculescu-Mizil, A., & Caruana, R.", "year": "2005", "title": "Predicting good probabilities with supervised learning", "venue": "Proceedings of the 22nd International Conference on Machine Learning (ICML '05), 625-632", "finding": "Boosted trees and SVMs produce sigmoid-distorted, mis-calibrated scores, and Platt scaling and isotonic regression recover probabilities that mean what they say.", "link": "https://doi.org/10.1145/1102351.1102430" }, { "authors": "King, G., & Zeng, L.", "year": "2001", "title": "Logistic regression in rare events data", "venue": "Political Analysis, 9(2), 137-163", "finding": "MLE logistic regression systematically underestimates the probability of the rare positive class (giving a finite-sample bias correction), and case-control/choice-based sampling is statistically efficient and consistent if the intercept is corrected.", "link": "https://doi.org/10.1093/oxfordjournals.pan.a004868" } ] }, { "title": "Cadastral data, geoprivacy & Daniel's Law", "slug": "cadastral-parcel-privacy-geoprivacy", "what": "The geoprivacy literature establishes that location is intrinsically identifying — coarse, de-identified maps reverse-geocode back to specific addresses (70%+ within 10 buildings), and property/parcel records are the very reference layer that powers re-identification — so there is no universally optimal mask and syntactic guarantees like k-anonymity fail under rich auxiliary data and repeated/multi-resolution releases. Formal differential privacy (deployed at scale in the 2020 Census) is the composition-aware alternative but degrades small-geography accuracy, while geocoding-quality work shows parcel-centroid geocoding is materially more accurate than street interpolation and that positional error is heavy-tailed. NJ's Daniel's Law adds statutory teeth ($1,000+ per violation) with an active, unresolved litigation front.", "relevance": "This body of evidence supplies the screening-grade, defensible rationale for Atlas's privacy wall — never publishing parcel-level owner data and aggregating to at least block-group — but it is context for policy design, not a per-parcel privacy certification.", "citations": [ { "authors": "Abdollahi Lorestani, M., Ranbaduge, T., & Rakotoarivelo, T.", "year": "2024", "title": "Privacy risk in GeoData: a survey. arXiv:2402.03612.", "venue": "arXiv", "finding": "The most current systematic survey, taxonomizing geoprivacy attacks (reverse geocoding, geocoding of masked data, inference/trajectory, differencing across multi-resolution releases) and defenses, and naming open gaps including no universally optimal mask, LLM-assisted re-identification, multi-release/differencing vulnerability, and topography-blind masks.", "link": "https://arxiv.org/abs/2402.03612" }, { "authors": "Abowd, J.M., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., & Zhuravlev, P.", "year": "2022", "title": "The 2020 Census Disclosure Avoidance System TopDown Algorithm. Harvard Data Science Review, Special Issue 2.", "venue": "Harvard Data Science Review", "finding": "Documents the U.S. Census Bureau's switch to formal differential privacy (zCDP via the TopDown Algorithm over a hierarchical geographic 'spine') for the 2020 Census — motivated by database-reconstruction theory — and the resulting accuracy degradation for small geographies and small subgroups.", "link": "https://doi.org/10.1162/99608f92.529e3cb9" }, { "authors": "Gao, S., Rao, J., Liu, X., Kang, Y., Huang, Q., & App, J.; Kounadi, O., & Resch, B.", "year": "2019", "title": "Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users / and related geoprivacy-by-design work (Kounadi, O., & Resch, B. (2018). A geoprivacy by design guideline for research campaigns that use participatory sensing data. Journal of Empirical Research on Human Research Ethics, 13(3), 203-222).", "venue": "Journal of Empirical Research on Human Research Ethics", "finding": "Representative of the 2018-2024 wave extending geomasking from clinical addresses to VGI/social-media/mobility data and codifying 'geoprivacy by design' as a process (decide protection before collection), with Kounadi & Resch giving an operational checklist and Gao et al. testing masks on real geotagged data.", "link": "https://doi.org/10.1177/1556264618773127" }, { "authors": "Zandbergen, P.A.", "year": "2014", "title": "Ensuring confidentiality of geocoded health data: assessing geographic masking strategies for individual-level data. Advances in Medicine, 2014, Article 567049.", "venue": "Advances in Medicine", "finding": "The authoritative review of geographic masking strategies, cataloging the full method family and re-identification-vs-information-loss metrics, and concluding effectiveness is highly context-dependent (density, k target, whether mask parameters are disclosed).", "link": "https://doi.org/10.1155/2014/567049" }, { "authors": "de Montjoye, Y.-A., Hidalgo, C.A., Verleysen, M., & Blondel, V.D.", "year": "2013", "title": "Unique in the crowd: the privacy bounds of human mobility. Scientific Reports, 3, 1376.", "venue": "Scientific Reports", "finding": "Showed that 4 spatio-temporal points uniquely identify 95% of individuals in a 1.5M-person mobility dataset — location data is intrinsically, irreducibly identifying and coarsening resolution helps only weakly.", "link": "https://doi.org/10.1038/srep01376" }, { "authors": "Hampton, K.H., Fitch, M.K., Allshouse, W.B., Doherty, I.A., Gesink, D.C., Leone, P.A., Serre, M.L., & Miller, W.C.", "year": "2010", "title": "Mapping health data: improved privacy protection with donut method geomasking. American Journal of Epidemiology, 172(9), 1062-1069.", "venue": "American Journal of Epidemiology", "finding": "Introduces the 'donut method' — displacing each point a random distance inversely proportional to local population density — guaranteeing a user-defined minimum spatial k-anonymity while minimizing introduced error; the de facto standard density-adaptive geomask.", "link": "https://doi.org/10.1093/aje/kwq139" }, { "authors": "Zandbergen, P.A.", "year": "2008", "title": "A comparison of address point, parcel and street geocoding techniques. Computers, Environment and Urban Systems, 32(3), 214-232. (See also Zandbergen, P.A. (2008), Positional accuracy of spatial data: non-normal distributions and a critique of the National Standard for Spatial Data Accuracy, Transactions in GIS, 12(1), 103-130.)", "venue": "Computers, Environment and Urban Systems", "finding": "Establishes that parcel-centroid geocoding is materially more positionally accurate than street-interpolation geocoding (which can err 100m+, ~30% of points beyond 100m), and that geocoding error is non-normally distributed (heavy-tailed), so RMSE-based reporting understates risk.", "link": "https://doi.org/10.1016/j.compenvurbsys.2007.11.006" }, { "authors": "Brownstein, J.S., Cassa, C.A., & Mandl, K.D.", "year": "2006", "title": "No place to hide -- reverse identification of patients from published maps. New England Journal of Medicine, 355(16), 1741-1742.", "venue": "New England Journal of Medicine", "finding": "Reverse geocoding against a prototypical patient map recovered 26%/51.6%/70.7%/93% of addresses to within 1/5/10/20 buildings, empirically proving that location dots on a map re-identify the underlying address/owner.", "link": "https://doi.org/10.1056/NEJMc061891" }, { "authors": "Dwork, C.", "year": "2006", "title": "Differential privacy. Proc. 33rd Int'l Colloquium on Automata, Languages and Programming (ICALP), Part II, 1-12. (Foundational; see also Dwork & Roth (2014), The Algorithmic Foundations of Differential Privacy, Found. & Trends in TCS, 9(3-4), 211-407.)", "venue": "Proc. 33rd Int'l Colloquium on Automata, Languages and Programming (ICALP)", "finding": "Defines differential privacy, the provable, composition-aware privacy framework that now underlies state-of-the-art spatial data release, providing the formal alternative to syntactic guarantees like k-anonymity that fail under auxiliary information and repeated releases.", "link": "https://doi.org/10.1007/11787006_1" }, { "authors": "Kwan, M.-P., Casas, I., & Schmitz, B.C.", "year": "2004", "title": "Protection of geoprivacy and accuracy of spatial information: how effective are geographical masks? Cartographica, 39(2), 15-28.", "venue": "Cartographica", "finding": "First systematic test showing that common perturbation masks can distort spatial pattern analysis (e.g., cluster detection) — the privacy fix is not free, and there is no universally optimal mask.", "link": "https://doi.org/10.3138/X204-4223-57MK-8273" }, { "authors": "Gruteser, M., & Grunwald, D.", "year": "2003", "title": "Anonymous usage of location-based services through spatial and temporal cloaking. Proc. 1st Int'l Conf. on Mobile Systems, Applications and Services (MobiSys), 31-42.", "venue": "Proc. 1st Int'l Conf. on Mobile Systems, Applications and Services (MobiSys)", "finding": "Ported Sweeney's k-anonymity to geography via 'spatial cloaking' — reporting a coarsened region containing at least k users instead of an exact point — originating the spatial-k-anonymity / location-cloaking line and the generalize-the-region paradigm underlying block-group aggregation.", "link": "https://doi.org/10.1145/1066116.1189037" }, { "authors": "Sweeney, L.", "year": "2002", "title": "k-anonymity: a model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(5), 557-570. (See also Sweeney, L. (2000), Simple Demographics Often Identify People Uniquely, Carnegie Mellon Data Privacy Working Paper 3.)", "venue": "International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems", "finding": "Defines k-anonymity (a record must be indistinguishable from at least k-1 others); the companion 2000 paper established that 87% of the U.S. population is uniquely identifiable by {ZIP, birth date, sex} via linkage to public records.", "link": "https://doi.org/10.1142/S0218488502001648" }, { "authors": "Armstrong, M.P., Rushton, G., & Zimmerman, D.L.", "year": "1999", "title": "Geographically masking health data to preserve confidentiality. Statistics in Medicine, 18(5), 497-525.", "venue": "Statistics in Medicine", "finding": "The foundational geomasking paper: introduces the taxonomy of geographic masks (affine transformation, random perturbation, aggregation) and the privacy-vs-analytical-utility trade-off, establishing that locational displacement can preserve confidentiality while still permitting valid spatial analysis.", "link": "https://doi.org/10.1002/(SICI)1097-0258(19990315)18:5<497::AID-SIM45>3.0.CO;2-2" } ] } ] }, { "part": "Market & policy intelligence", "blurb": "Sourced industry and policy evidence behind the bottleneck thesis and the NJ opportunity — energy-buildout constraints, vertical-integration comps, conservation programs, and pricing benchmarks.", "sections": [ { "title": "Energy-buildout bottlenecks", "slug": "energy-buildout-bottlenecks", "what": "The binding constraint on clean-energy and large-load projects is grid access, not generation: PJM's interconnection queue runs ~8 years, storage now dwarfs solar in the reopened queue, withdrawn projects cost far more per kW than completed ones, and power has become the #1 site-selection factor as data-center demand is set to nearly triple by 2030.", "relevance": "A grid-proximity / 'Time-to-Power' screen reuses the existing parcel-and-overlay engine and sits directly on the developer's real pain point, supporting a flat-fee add-on module priced within Atlas's band.", "citations": [ { "authors": "pv-magazine-usa.com", "year": "2026", "title": "More than 67 GW storage, 14 GW solar seek interconnection in PJM's reopened queue", "venue": "pv-magazine-usa.com", "finding": "PJM's reopened interconnection queue holds 67 GW of storage versus 15 GW of solar.", "link": "https://pv-magazine-usa.com/2026/04/29/more-than-67-gw-storage-14-gw-solar-seek-interconnection-in-pjms-reopened-queue/" }, { "authors": "pv magazine USA", "year": "2026", "title": "U.S. transformer market faces severe supply constraints as lead times extend to four years", "venue": "pv magazine USA", "finding": "The US imports ~80% of power transformer demand and ~50% of distribution, domestic makers cover only ~20% of power transformer need, global transformer plants run at ~98% utilization, and the deficit persists to ~2029.", "link": "https://pv-magazine-usa.com/2026/05/11/u-s-transformer-market-faces-severe-supply-constraints-as-lead-times-extend-to-four-years/" }, { "authors": "Build.inc", "year": "2026", "title": "Data center transformer procurement 2026", "venue": "Build.inc", "finding": "Transformer underwriting has flipped from cost to availability — 'the underwriting issue is not just cost. It is whether the sponsor is willing to reserve manufacturing capacity before every other risk is cleared.'", "link": "https://build.inc/insights/data-center-transformer-procurement-2026" }, { "authors": "Information Technology and Innovation Foundation (ITIF)", "year": "2026", "title": "Construction Industry Facing Worker Shortage Driven by Growth of Data Centers", "venue": "ITIF", "finding": "Construction faces a ~439,000-499,000-worker shortfall driven by data centers.", "link": "https://itif.org/publications/2026/01/12/construction-industry-facing-worker-shortage-driven-by-growth-of-data-centers/" }, { "authors": "Build.inc", "year": "2026", "title": "Data center construction labor shortage 2026", "venue": "Build.inc", "finding": ">300,000 electricians are needed vs ~20,000 retiring/yr (~30% of union electricians are 50-70); Microsoft president Brad Smith named the electrician shortage the single biggest bottleneck, 'ahead of even power and land.'", "link": "https://build.inc/insights/data-center-construction-labor-shortage-2026" }, { "authors": "PJM Interconnection", "year": "2026", "title": "PJM interconnection queue cycles — Cycle 1 window and TC2/next cycle timing", "venue": "PJM Interconnection", "finding": "PJM queue position is a scored siting input; the Cycle 1 window closed April 2026, leaving PJM TC2 / the next cycle as the target for an interconnection layer.", "link": "" }, { "authors": "US federal policy (OBBBA / FEOC domestic-content provisions)", "year": "2026", "title": "OBBBA/FEOC domestic-content compliance clock and begin-construction deadline", "venue": "OBBBA / FEOC (federal statute/rule as cited)", "finding": "A domestic-content (FEOC) compliance clock and a mid-2026 begin-construction deadline create a buildability constraint that reframes the dossier's headline question.", "link": "" }, { "authors": "pv-magazine-usa.com", "year": "2025", "title": "Consumers will pay billions due to very slow interconnection in the PJM grid, study says", "venue": "pv-magazine-usa.com", "finding": "Very slow interconnection in the PJM grid imposes billions in costs on consumers.", "link": "https://pv-magazine-usa.com/2025/02/26/consumers-will-pay-billions-due-to-very-slow-interconnection-in-the-pjm-grid-study-says/" }, { "authors": "Area Development", "year": "2025", "title": "Data Centers in 2025: When Power Became the Gatekeeper", "venue": "Area Development (areadevelopment.com)", "finding": "84% of respondents rank power access as a top-3 site-selection factor for data centers.", "link": "https://www.areadevelopment.com/data-centers/q4-2025/data-centers-in-2025-when-power-became-the-gatekeeper.shtml" }, { "authors": "S&P Global", "year": "2025", "title": "Data center grid power demand to rise 22% in 2025, nearly triple by 2030", "venue": "S&P Global (spglobal.com)", "finding": "Data-center grid power demand is set to rise 22% in 2025 and nearly triple by 2030; the US data-processing/hosting market is ~$383.8B in 2025.", "link": "https://www.spglobal.com/energy/en/news-research/latest-news/electric-power/101425-data-center-grid-power-demand-to-rise-22-in-2025-nearly-triple-by-2030" }, { "authors": "Lawrence Berkeley National Laboratory (LBNL)", "year": "2025", "title": "Queued Up: 2025 Edition — Characteristics of Power Plants Seeking Transmission Interconnection", "venue": "LBNL Electricity Markets & Policy", "finding": "~2,060 GW of generation plus storage was actively seeking grid connection at end-2025 — roughly 2x the entire ~1,280 GW installed US fleet — with median request-to-COD time doubled to ~55 months (~4.5 yr) for 2024 CODs.", "link": "https://emp.lbl.gov/publications/queued-2025-edition-characteristics" }, { "authors": "NJ Board of Public Utilities (NJBPU)", "year": "2024", "title": "NJBPU Dual-Use Solar Pilot approval (newsroom release 202410231)", "venue": "nj.gov/bpu", "finding": "33 EOIs / ~140 MW were submitted into the NJBPU Dual-Use pilot; SREC value ~$65/MWh plus an adder.", "link": "https://www.nj.gov/bpu/newsroom/2024/approved/202410231.html" }, { "authors": "Federal Energy Regulatory Commission (FERC)", "year": "2023", "title": "FERC Order 2023 (interconnection queue reform) — POI heatmaps becoming free public data", "venue": "Federal Energy Regulatory Commission", "finding": "FERC Order 2023 point-of-interconnection (POI) heatmaps are becoming free public data, so the moat shifts to parcel-to-POI linkage rather than the grid data itself.", "link": "" }, { "authors": "RMI", "year": "", "title": "Interconnection reform, AI data centers, and generator queues", "venue": "RMI (rmi.org)", "finding": "Completed PJM interconnection projects cost ~$240/kW versus ~$599/kW for withdrawn projects, against an ~8-year PJM queue.", "link": "https://rmi.org/interconnection-reform-ai-data-centers-generator-queues/" }, { "authors": "Market Research Future", "year": "", "title": "Energy Storage and Battery Consulting Services Market", "venue": "Market Research Future (marketresearchfuture.com)", "finding": "The energy-storage and battery consulting-services market is projected to grow from $5.64B to $12.8B by 2035.", "link": "https://www.marketresearchfuture.com/reports/energy-storage-and-battery-consulting-services-market-66639" }, { "authors": "McKinsey & Company", "year": "", "title": "The $7 trillion data center build-out: How industrials can capture their share", "venue": "McKinsey & Company", "finding": "Execution capability and power-equipment availability, not capital, gate the ~$7 trillion data-center buildout.", "link": "https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-7-trillion-dollar-data-center-build-out-how-industrials-can-capture-their-share" }, { "authors": "Tom's Hardware / Sightline Climate", "year": "", "title": "Half of planned US data center builds have been delayed or canceled; growth limited by shortages of power infrastructure and parts", "venue": "Tom's Hardware", "finding": "Big Tech planned >$650B of AI spend in 2026, yet ~30-50% of planned 2026 US data-center capacity is delayed or cancelled, as the physical supply chain cannot keep up.", "link": "https://www.tomshardware.com/tech-industry/artificial-intelligence/half-of-planned-us-data-center-builds-have-been-delayed-or-canceled-growth-limited-by-shortages-of-power-infrastructure-and-parts-from-china-the-ai-build-out-flips-the-breakers" }, { "authors": "Latitude Media", "year": "", "title": "The US interconnection queue is twice its installed capacity", "venue": "Latitude Media", "finding": "The US interconnection queue is roughly twice the installed US generation capacity.", "link": "https://www.latitudemedia.com/news/the-us-interconnection-queue-is-twice-its-installed-capacity/" }, { "authors": "Keentel Engineering", "year": "", "title": "Interconnection cost estimation", "venue": "Keentel Engineering", "finding": "Projects typically die when interconnection cost hits ~10% of total capex.", "link": "https://keentelengineering.com/interconnection-cost-estimation" }, { "authors": "Wood Mackenzie", "year": "", "title": "Power transformers and distribution transformers will face supply deficits of 30% and 10% in 2025", "venue": "Wood Mackenzie", "finding": "A modeled 30% shortfall for power transformers and 10% for distribution transformers in 2025, worsening in 2026.", "link": "https://www.woodmac.com/press-releases/power-transformers-and-distribution-transformers-will-face-supply-deficits-of-30-and-10-in-2025/" }, { "authors": "Enki", "year": "", "title": "Gas-to-power boom: AI drives 2026 on-site energy shift", "venue": "Enki AI", "finding": "Large-frame gas turbines carry 3-4 year lead times, booked through 2028.", "link": "https://enkiai.com/data-center/gas-to-power-boom-ai-drives-2026-on-site-energy-shift/" }, { "authors": "Natural Gas Intelligence", "year": "", "title": "Natural gas turbines aren't gating data center buildouts, GE Vernova says", "venue": "Natural Gas Intelligence", "finding": "GE Vernova CEO Strazik says gas turbines are not the gating item — 'it's the EPC buildout, the permitting, the fuel availability' — and GE Vernova bought the rest of Prolec GE for $5.3B specifically because transformers are 'the single biggest bottleneck in the electrical supply chain.'", "link": "https://www.naturalgasintel.com/news/natural-gas-turbines-arent-gating-data-center-buildouts-ge-vernova-says/" }, { "authors": "iRecruit", "year": "", "title": "Data Center Construction Labor Market Report", "venue": "iRecruit", "finding": "Electrical work is 45-70% of total data-center construction cost (per IBEW), amid a ~439,000-499,000-worker construction shortfall.", "link": "https://www.irecruit.co/insights/data-center-construction-labor-market-report" }, { "authors": "POWER Magazine", "year": "", "title": "Ready, Go, Set: How Disruptions Are Flipping EPC Contracting", "venue": "POWER Magazine", "finding": "Bechtel alone cites a 45,000-50,000 craft-worker shortfall on the US Gulf Coast.", "link": "https://www.powermag.com/ready-go-set-how-disruptions-are-flipping-epc-contracting/" }, { "authors": "Resources for the Future (RFF)", "year": "", "title": "How Long Does It Take? National Environmental Policy Act Timelines and Outcomes for Clean Energy Projects", "venue": "Resources for the Future", "finding": "Median EIS completion fell from 3.6 yr (2019) to 2.2 yr (2024), and the share finished within 2 yr rose from 24% to 41%.", "link": "https://www.rff.org/publications/reports/how-long-does-it-take-national-environmental-policy-act-timelines-and-outcomes-for-clean-energy-projects/" }, { "authors": "Novogradac", "year": "", "title": "Resolving the Interconnection Queue Bottleneck, Along With Transmission Expansion, Is Critical for Timely US Energy Deployment", "venue": "Novogradac", "finding": "Transmission siting still takes 10+ years and is the slowest link; $22B of clean-energy investment was cancelled in H1 2025 (16,500 jobs).", "link": "https://www.novoco.com/notes-from-novogradac/resolving-the-interconnection-queue-bottleneck-along-with-transmission-expansion-is-critical-for-timely-us-energy-deployment-to-meet-demand" }, { "authors": "Goldman Sachs", "year": "", "title": "US data center power demand projected to double by 2027", "venue": "Goldman Sachs", "finding": "US data-center power demand rises 31 GW (2025) to 41 GW (2026) to 66 GW (2027), from 4.1% to 8.5% of US peak demand.", "link": "https://www.goldmansachs.com/insights/articles/us-data-center-power-demand-projected-to-double-by-2027" }, { "authors": "Deloitte", "year": "", "title": "Data center infrastructure and artificial intelligence", "venue": "Deloitte", "finding": "Deloitte projects US data-center power demand of ~4 GW (2024) to 123 GW (2035), roughly 30x.", "link": "https://www.deloitte.com/us/en/insights/industry/power-and-utilities/data-center-infrastructure-artificial-intelligence.html" }, { "authors": "SemiAnalysis", "year": "", "title": "US grid constraints: toward 40GW", "venue": "SemiAnalysis", "finding": "~50 GW of behind-the-meter gas was announced in 2025 alone as the default new-DC workaround, proving the binding constraint is interconnection plus equipment, not fuel (SemiAnalysis has also pushed back on sensational '~50% cancelled' DC headlines).", "link": "https://newsletter.semianalysis.com/p/us-grid-constraints-towards-40gw" }, { "authors": "Data Center Knowledge", "year": "", "title": "AI data center boom rewires US power supply chain", "venue": "Data Center Knowledge", "finding": "Annual US transformer demand could exceed 9,000 units by 2030 (vs ~1,500 today), and data centers could reach ~40% of US electrical-equipment demand by 2030.", "link": "https://www.datacenterknowledge.com/build-design/ai-data-center-boom-rewires-us-power-supply-chain" }, { "authors": "Cleveland-Cliffs", "year": "", "title": "Butler Works (steelmaking operations)", "venue": "Cleveland-Cliffs", "finding": "Grain-oriented electrical steel for transformer cores has a single US producer — Cleveland-Cliffs' Butler Works, PA — the only US maker of high-permeability TRAN-COR / RGO grades (~1,100-1,300 workers), a genuine single-point-of-failure.", "link": "https://www.clevelandcliffs.com/operations/steelmaking/butler-works" }, { "authors": "ChinaTalk", "year": "", "title": "Gridlocked: The transformer shortage choking the grid", "venue": "ChinaTalk", "finding": "Grain-oriented electrical steel (GOES) prices are up ~100% since January 2020.", "link": "https://www.chinatalk.media/p/gridlocked-transformer-shortage-choking" }, { "authors": "Niskanen Center", "year": "", "title": "Powering the Nation: How to Fix the Transformer Shortage", "venue": "Niskanen Center", "finding": "Coil winding, core stacking, and test engineering are dying crafts taking years to train; analysts flag workforce as a bigger reshoring bottleneck than building the factories — a slow-moving variable through ~2029.", "link": "https://www.niskanencenter.org/powering-the-nation-how-to-fix-the-transformer-shortage/" }, { "authors": "McKinsey & Company", "year": "", "title": "Energy buildout thesis: execution and equipment, not capital, gate the ~$7T buildout", "venue": "McKinsey & Company", "finding": "Execution and equipment (not capital) gate the roughly $7 trillion energy buildout, validating the bottleneck as real.", "link": "" }, { "authors": "Atlas Strategy Synthesis (market-sizing figure carried forward from source reports)", "year": "", "title": "Stranded interconnection-queue capacity", "venue": "Citipax Atlas internal synthesis", "finding": "[UNVERIFIED] ~2,060 GW of stranded queue positions represent the fragmented energy-logistics supply the coordination layer addresses.", "link": "" } ] }, { "title": "Vertical integration & industry comps", "slug": "vertical-integration-comps", "what": "Reshoring and vertical integration in electrical equipment are concentrated among large-balance-sheet players (GE Vernova/Prolec, Hitachi, Siemens, Eaton, ERMCO, Cleveland-Cliffs), while the ownable, asset-light slice for a small firm is the intelligence/coordination layer — validated by named comps that monetize de-bottlenecking via subscription intelligence, workflow SaaS, marketplaces, and flat-fee advisory.", "relevance": "Screening-grade evidence that a solo advisory should own the intelligence layer and price judgment as the deliverable — not own capital-intensive iron or take marketplace success fees.", "citations": [ { "authors": "GE Vernova", "year": "2026", "title": "GE Vernova completes Prolec GE acquisition", "venue": "GE Vernova", "finding": "GE Vernova took full control of Prolec GE ($5.275B, Feb 2026), folded into Electrification, with Prolec adding a ~$140M NC plant to double medium-power-transformer output.", "link": "https://www.gevernova.com/news/press-releases/ge-vernova-completes-prolec-ge-acquisition" }, { "authors": "POWER Magazine", "year": "2026", "title": "Transformers in 2026: Shortage, Scramble, or Self-Inflicted Crisis?", "venue": "POWER Magazine", "finding": "US transformer reshoring includes Hitachi Energy (>$1B committed expansion), Siemens Energy (~$150M first US large-transformer plant, Charlotte NC, early 2027), and Eaton (~$340M three-phase plant, Jonesville SC, 2027).", "link": "https://www.powermag.com/transformers-in-2026-shortage-scramble-or-self-inflicted-crisis/" }, { "authors": "Anza Renewables", "year": "2026", "title": "Anza launches Anza Pulse, the solar industry's first on-demand module intelligence platform", "venue": "Anza Renewables", "finding": "Anza proves the intel-to-advisory-to-marketplace ladder: Anza Pulse (subscription commercial intelligence from 40 suppliers / 1,000+ monthly quotes, >95% of US module supply), Anza Solar Pro (advisory), and Anza Exchange (marketplace); Anza supported >2 GW of module procurement in 2025.", "link": "https://www.anzarenewables.com/press-release/anza-launches-anza-pulse-the-solar-industrys-first-on-demand-module-intelligence-platform/" }, { "authors": "BusinessWire", "year": "2025", "title": "Base Power Raises $1 Billion Series C to Build the Future of American Power", "venue": "BusinessWire", "finding": "Base Power, a vertically integrated 'gentailer' stacking battery lease + retail margin + wholesale arbitrage, scaled 1,500 to 7,000 homes (Jul-Dec 2025) and raised a $1B Series C at $4B post-money.", "link": "https://www.businesswire.com/news/home/20251008106005/en/Base-Power-Raises-$1-Billion-Series-C-to-Build-the-Future-of-American-Power" }, { "authors": "ERMCO", "year": "", "title": "ERMCO to open new manufacturing facility in Maricopa County", "venue": "ERMCO", "finding": "ERMCO is building a 566,121 sq ft transformer plant in Waddell AZ (500+ jobs, operational 2027 — first plant west of the Mississippi).", "link": "https://www.ermco-eci.com/ermco-to-open-new-manufacturing-facility-in-maricopa-county/" }, { "authors": "Cleveland-Cliffs", "year": "", "title": "Cleveland-Cliffs announces its new state-of-the-art transformer plant", "venue": "Cleveland-Cliffs", "finding": "Cleveland-Cliffs is building a $150M / 600-job transformer plant in Weirton WV (H1 2026), a rare steel-to-core downstream integration capturing its own Butler-Works GOES.", "link": "https://www.clevelandcliffs.com/news/news-releases/detail/644/cleveland-cliffs-announces-its-new-state-of-the-art" }, { "authors": "Crusoe", "year": "", "title": "Welcome to the era of BYO power", "venue": "Crusoe", "finding": "Crusoe vertically integrates power generation, land, DC design/construction, domestic components, and cloud to compress timelines and remove misaligned incentives across fragmented handoffs.", "link": "https://www.crusoe.ai/resources/blog/welcome-to-the-era-of-byo-power" }, { "authors": "Crusoe", "year": "", "title": "Crusoe's contracted AI infrastructure capacity approaches 5 gigawatts across data centers and cloud", "venue": "BusinessWire / Crusoe", "finding": "Crusoe energized first Abilene/Stargate buildings ~1 yr after breaking ground, with ~4.9 GW contracted and a >40-45 GW pipeline.", "link": "https://www.crusoe.ai/resources/newsroom/crusoes-contracted-ai-infrastructure-capacity-approaches-5-gigawatts-across-data-centers-and-cloud" }, { "authors": "NextEra Energy Resources", "year": "", "title": "Utility-scale renewables", "venue": "NextEra Energy Resources", "finding": "NextEra's in-house develop-finance-build-operate plus procurement scale claims a 25-30% cost edge, with ~$75B investment through 2028.", "link": "https://www.nexteraenergyresources.com/our-solutions/utility-scale-renewables.html" }, { "authors": "First Solar / PV-Tech", "year": "", "title": "First Solar inaugurates AI-powered 3.5GW Louisiana factory", "venue": "PV-Tech", "finding": "First Solar's proprietary CdTe thin-film (glass-to-panel in ~4 hrs) illustrates FACTORY vertical integration that pays only when the component is differentiated and capital is a barrier-to-entry moat.", "link": "https://www.pv-tech.org/first-solar-inaugurates-ai-powered-3-5gw-louisiana-factory/" }, { "authors": "FourWeekMBA", "year": "", "title": "Tesla supply chain", "venue": "FourWeekMBA", "finding": "Tesla's supply chain is a layered stack (multi-year lithium contracts, captive processing, in-house cells) rather than 'own everything,' but vertical integration amplifies any internal bottleneck, so integration must be paired with constraint discipline.", "link": "https://fourweekmba.com/tesla-supply-chain/" }, { "authors": "Fluence", "year": "", "title": "Fluence initiates US manufacturing of battery modules for energy storage", "venue": "Fluence Energy", "finding": "Fluence positions as a technology-agnostic systems integrator plus software, only recently onshoring module assembly (not cells) to capture US-content demand.", "link": "https://ir.fluenceenergy.com/news-releases/news-release-details/fluence-initiates-us-manufacturing-battery-modules-energy" }, { "authors": "Microgrid Knowledge", "year": "", "title": "Blackstone commits $500 million for GreenStruxure microgrids", "venue": "Microgrid Knowledge", "finding": "GreenStruxure runs a pure asset-light Energy-as-a-Service model (modular microgrids up to 5 MW, no-money-down) backed by a $500M Blackstone facility.", "link": "https://www.microgridknowledge.com/editors-choice/article/11428007/blackstone-commits-500-million-for-greenstruxure-microgrids" }, { "authors": "Utility Dive", "year": "", "title": "SolarCity, SunPower lead solar industry towards vertical integration", "venue": "Utility Dive", "finding": "Capital-heavy vertical integration of a commodity can shift savings into margin rather than price, sequester technology, and historically often produces the opposite of cost savings (the SolarCity/Silevo/Buffalo cautionary case).", "link": "https://www.utilitydive.com/news/solarcity-sunpower-lead-solar-industry-towards-vertical-integration/284337/" }, { "authors": "Umbrex", "year": "", "title": "Make-Buy-Ally vertical integration framework", "venue": "Umbrex", "finding": "The Make-Buy-Ally matrix is driven by hold-up risk and asset specificity, not price: MAKE when specificity is high and a learning curve creates durable edge, ALLY to borrow capacity, BUY commodities with deep supplier markets.", "link": "https://umbrex.com/resources/frameworks/strategy-frameworks/make-buy-ally-vertical-integration-framework/" }, { "authors": "StoneX", "year": "", "title": "Offtake agreement (financial glossary)", "venue": "StoneX", "finding": "Take-or-pay / long-term offtake (PPAs, 10-15 yr) converts demand uncertainty into bankable, financeable revenue that unlocks capital to build captive supply.", "link": "https://www.stonex.com/en/business/financial-glossary/offtake-agreement/" }, { "authors": "McKinsey & Company", "year": "", "title": "Taking the pulse of shifting supply chains", "venue": "McKinsey & Company", "finding": "97% of supply-chain leaders now use some mix of resilience tactics; 73% report dual-sourcing progress, 43% plan to shift more footprint to the US in 3 years, ~80% raised safety stock, and >90% invested in digital visibility.", "link": "https://www.mckinsey.com/capabilities/operations/our-insights/taking-the-pulse-of-shifting-supply-chains" }, { "authors": "6Sigma.us", "year": "", "title": "Throughput accounting", "venue": "6Sigma.us", "finding": "Theory of Constraints directs finding the one binding constraint, subordinating everything to it, and managing on throughput (revenue minus material cost), not local cost efficiency.", "link": "https://www.6sigma.us/six-sigma-in-focus/throughput-accounting/" }, { "authors": "CT Acquisitions", "year": "", "title": "Private equity roll-up strategy", "venue": "CT Acquisitions", "finding": "Roll-up / platform M&A consolidates a fragmented constraint by buying at 5-7x EBITDA and exiting combined at 10-12x.", "link": "https://ctacquisitions.com/private-equity-roll-up-strategy/" }, { "authors": "FTI Consulting", "year": "", "title": "Power, Renewables & Energy Transition: 2025 M&A Year in Review, 2026 Outlook", "venue": "FTI Consulting", "finding": "In energy 2026, buyers paid premiums for mature queue positions ('the primary currency'); battery-storage M&A was up >60% YoY, tax-credit transferability volume reached ~$60B in 2025 (up from $52B), and 'clean' non-FEOC / domestic-content inventory now trades at a scarcity premium.", "link": "https://www.fticonsulting.com/insights/articles/power-renewables-energy-transition-2025-ma-year-review-2026-outlook" }, { "authors": "Wood Mackenzie", "year": "", "title": "Supply Chain Intelligence / Supply Market Intelligence", "venue": "Wood Mackenzie", "finding": "Wood Mackenzie (Lens, Supply Chain Intelligence) is a named comp for the subscription-intelligence monetization archetype in energy supply chains.", "link": "https://www.woodmac.com/products/supply-chain-intelligence/supply-market-intelligence/" }, { "authors": "GetApp / Enverus", "year": "", "title": "Enverus (software pricing)", "venue": "GetApp", "finding": "Enverus subscription intelligence prices at ~$275/user/mo (roughly $3.3k/yr entry), with enterprise custom pricing.", "link": "https://www.getapp.com/finance-accounting-software/a/enverus/" }, { "authors": "LandGate", "year": "", "title": "LandGate subscription", "venue": "LandGate", "finding": "LandGate offers a low subscription-intelligence floor ($16/mo, $72/yr) with enterprise custom pricing.", "link": "https://app.landgate.com/app/subscription" }, { "authors": "Enverus", "year": "", "title": "Undo the Queue: Enverus acquires Pearl Street Technologies to solve for a more reliable, resilient grid", "venue": "Enverus", "finding": "Pearl Street/SUGAR interconnection workflow SaaS runs up to 200x faster and processed >300 GW (acquired by Enverus); the demand driver is the 2.4 TW queue.", "link": "https://www.enverus.com/newsroom/undo-the-queue-enverus-acquires-pearl-street-technologies-to-solve-for-a-more-reliable-resilient-grid/" }, { "authors": "GridUnity", "year": "", "title": "GridUnity", "venue": "GridUnity", "finding": "GridUnity ($50M raised, $49.5M DOE grant) provides interconnection workflow SaaS with 85% faster processing.", "link": "https://www.gridunity.com/" }, { "authors": "Crux", "year": "", "title": "Transferable tax credits", "venue": "Crux Climate", "finding": "Crux facilitated $30B of transferable tax credits transferred in 2024, with intermediary fees of 0.5-3.0% of credit value.", "link": "https://www.cruxclimate.com/insights/transferable-tax-credits" }, { "authors": "Sylvera", "year": "", "title": "Sylvera", "venue": "Sylvera", "finding": "Sylvera sells subscription carbon-intelligence and markets itself as 'a data and rating platform — not a broker,' with 'no middlemen or fees' — positioning independence as a trust feature buyers pay for.", "link": "https://www.sylvera.com/" } ] }, { "title": "NJ & federal policy landscape", "slug": "nj-federal-conservation-policy-landscape", "what": "A stackable set of federal and NJ conservation programs — NRCS ACEP-ALE (50-75% of easement FMV), Forest Legacy (up to 75%, state-applicant-only), the new NJ S699 Woodlands Protection Fund (signed 1/20/2026), and a $700M NRCS Regenerative Pilot — creates a first-mover cross-program stacking wedge, with corporate regen-ag demand (PepsiCo/Cargill 10M-acre goals) and dedicated funds (Bramble Run/Lucerne) on the buy side.", "relevance": "These programs define the working-lands capital-stack a dossier can braid, giving Atlas a defensible, screening-grade eligibility-and-stacking product across the NJ conservation landscape.", "citations": [ { "authors": "New Jersey Senate (senatenj.com)", "year": "2026", "title": "NJ S699 Woodlands Protection Fund (newsflash/detail 1006)", "venue": "senatenj.com", "finding": "NJ S699 (Woodlands Protection Fund), signed into law 1/20/2026 and SADC-administered, is a genuine first-mover wedge; the 5-acre woodland-definition floor was not removed and 20 acres is the threshold for the SADC forest-stewardship-plan path.", "link": "https://www.senatenj.com/m/newsflash/home/detail/1006" }, { "authors": "Forbes (Andrew Watman)", "year": "2026", "title": "Bramble Run Raises New Agriculture Fund With Lucerne Capital To Trigger $5 Billion In Regenerative Farmland Transition", "venue": "Forbes (forbes.com)", "finding": "Bramble Run / Lucerne regenerative farmland deals write $25-50M checks.", "link": "https://www.forbes.com/sites/andrewwatman/2026/03/30/bramble-run-raises-new-agriculture-fund-with-lucerne-capital-to-trigger-5-billion-in-regenerative-farmland-transition/" }, { "authors": "pv magazine USA", "year": "2026", "title": "U.S. solar's push for domestic bliss", "venue": "pv magazine USA", "finding": "The IRA domestic-content bonus threshold ratchets 40% (pre-2024) to 45% (2025) to 50% (2026) to 55% (2027+); US module capacity reached ~60-70 GW by end-2025 but only ~10 GW of wafer/ingot capacity is planned — a severe upstream gap.", "link": "https://pv-magazine-usa.com/2026/03/05/u-s-solars-push-for-domestic-bliss/" }, { "authors": "State of New Jersey (Legislature) — S699", "year": "2026", "title": "NJ S699 Woodlands Protection Fund", "venue": "State of New Jersey", "finding": "NJ S699 Woodlands Protection Fund was signed 1/20/2026 with coexisting dual thresholds — a 5-acre woodland floor and a 20-acre stewardship path.", "link": "" }, { "authors": "USDA", "year": "2025", "title": "USDA launches new Regenerative Pilot Program to lower farmer production costs and advance MAHA agenda", "venue": "usda.gov", "finding": "The NRCS Regenerative Pilot Program is funded at $700M for FY2026.", "link": "https://www.usda.gov/about-usda/news/press-releases/2025/12/10/usda-launches-new-regenerative-pilot-program-lower-farmer-production-costs-and-advance-maha-agenda" }, { "authors": "PepsiCo", "year": "2025", "title": "PepsiCo and Cargill collaborate to empower farmers by advancing sustainable agriculture", "venue": "pepsico.com", "finding": "PepsiCo and Cargill each hold 10-million-acre sustainable/regenerative agriculture goals.", "link": "https://www.pepsico.com/newsroom/press-releases/2025/pepsico-and-cargill-collaborate-to-empower-farmers-by-advancing-sustainable-agriculture" }, { "authors": "Pace Environmental Law Review (pelr.blogs.pace.edu)", "year": "2025", "title": "Managed Retreat, Flooding, and Wildfire: Getting Out of Harm's Way", "venue": "Pace Environmental Law Review", "finding": "14.6 million properties are at flood risk and FEMA has completed 50,000+ buyouts since 1989.", "link": "https://pelr.blogs.pace.edu/2025/11/05/managed-retreat-flooding-and-wildfire-getting-out-of-harms-way/" }, { "authors": "Arnold & Porter", "year": "2025", "title": "From IRA to OBBBA: A New Era for Clean Energy Tax Credits", "venue": "Arnold & Porter", "finding": "OBBBA (signed Jul 4, 2025): solar/wind beginning construction after Jul 4, 2026 lose 48E if placed in service after Dec 31, 2027; facilities beginning construction after Dec 31, 2025 are ineligible if they include 'material assistance' from a Prohibited Foreign Entity (FEOC); non-PFE content must hit 40% in 2026 to 60% by 2030.", "link": "https://www.arnoldporter.com/en/perspectives/advisories/2025/07/from-ira-to-obbba-a-new-era-for-clean-energy-tax-credits" }, { "authors": "offshoreWIND.biz", "year": "2025", "title": "New Jersey exploring alternative uses for its offshore wind port", "venue": "offshoreWIND.biz", "finding": "[UNVERIFIED] NJ offshore wind collapsed (Atlantic Shores terminated its OREC and cancelled its PJM ISA; Leading Light 2.4 GW withdrew), and the $600M+ NJ Wind Port is under NJEDA 'alternative-use' review — with the Wind-Port reuse thesis treated as a live opportunity, not a closed deal.", "link": "https://www.offshorewind.biz/2025/02/18/new-jersey-exploring-alternative-uses-for-its-offshore-wind-port/" }, { "authors": "Larimer County, CO", "year": "2023", "title": "Step-by-Step Guide to the Conservation Easement Process", "venue": "larimer.gov", "finding": "A full conservation-easement deal costs $40-75k+.", "link": "https://www.larimer.gov/sites/default/files/uploads/2023/step-by-step_guide_to_ce_process.pdf" }, { "authors": "K&L Gates", "year": "2023", "title": "Order No. 2023: Interconnection Reform is Finally Here", "venue": "K&L Gates", "finding": "FERC Order 2023 forces transmission providers to publish public POI heatmaps (MW-per-bus injection capacity under N-1, refreshed within 30 days of each cluster), making the grid-availability signal free public data.", "link": "https://www.klgates.com/Order-No-2023-Interconnection-Reform-is-Finally-Here-9-7-2023" }, { "authors": "USDA Natural Resources Conservation Service (NRCS)", "year": "", "title": "Agricultural Conservation Easement Program (ACEP)", "venue": "nrcs.usda.gov", "finding": "NRCS ACEP-ALE can cover 50-75% of an easement's fair market value.", "link": "https://www.nrcs.usda.gov/agricultural-conservation-easement-program" }, { "authors": "USDA Natural Resources Conservation Service (NRCS)", "year": "", "title": "Technical Service Providers (TSP)", "venue": "nrcs.usda.gov", "finding": "For-profit businesses are explicitly eligible to become Certified TSPs; only certified TSPs may develop CAP/DIA (and can do CEMA) deliverables, paid at the maximum TSP rate in the State Payment Schedule.", "link": "https://www.nrcs.usda.gov/getting-assistance/technical-assistance/technical-service-providers" }, { "authors": "USDA Natural Resources Conservation Service (NRCS)", "year": "", "title": "Regional Conservation Partnership Program (RCPP)", "venue": "nrcs.usda.gov", "finding": "'Business (for profit)' entities are eligible RCPP applicant types, including as lead partner, reimbursed for TA/FA via a Supplemental Agreement or Alternative Funding Arrangement.", "link": "https://www.nrcs.usda.gov/programs-initiatives/regional-conservation-partnership-program" }, { "authors": "USDA Natural Resources Conservation Service (NRCS)", "year": "", "title": "Conservation Innovation Grants (CIG) — for applicants", "venue": "nrcs.usda.gov", "finding": "Private businesses are eligible CIG prime applicants and On-Farm Trials awardees can pay TA plus incentives to producers, but CIG requires a 1:1 non-federal match.", "link": "https://www.nrcs.usda.gov/programs-initiatives/cig-conservation-innovation-grants/cig-applicants" }, { "authors": "USDA", "year": "", "title": "Partnerships for Climate-Smart Commodities", "venue": "usda.gov", "finding": "257 for-profit businesses were partners delivering direct technical assistance under USDA's climate-smart program (frozen/restructured in 2025).", "link": "https://www.usda.gov/about-usda/general-information/priorities/climate-solutions/partnerships-climate-smart-commodities" }, { "authors": "Farmland Information Center (farmlandinfo.org)", "year": "", "title": "ACEP-ALE for Entities", "venue": "farmlandinfo.org", "finding": "Only state governments are eligible Forest Legacy applicants (counties/municipalities can only partner), whereas local governments are eligible entities for ACEP-ALE.", "link": "https://farmlandinfo.org/acep-ale-for-entities/" }, { "authors": "Middlesex County, NJ", "year": "", "title": "Farmland Preservation Process (Office of Planning)", "venue": "middlesexcountynj.gov", "finding": "In the NJ SADC process the county pays appraisal costs and the CADB makes the offer, and CADB staff already help landowners with eligibility and the County Planning Incentive Grant (PIG) application for free.", "link": "https://www.middlesexcountynj.gov/government/departments/department-of-transportation/office-of-planning/sustainability-resiliency/farmland-preservation-process" }, { "authors": "McKinsey & Company", "year": "", "title": "Climate resilience technology: An inflection point for new investment", "venue": "mckinsey.com", "finding": "McKinsey frames a ~$1 trillion climate-resilience market.", "link": "https://www.mckinsey.com/capabilities/sustainability/our-insights/climate-resilience-technology-an-inflection-point-for-new-investment" }, { "authors": "IRS", "year": "", "title": "Grants by private foundations: expenditure responsibility", "venue": "irs.gov", "finding": "A private foundation can grant to a for-profit LLC only if it exercises 'expenditure responsibility' under IRC 4945(h), with 20% excise-tax exposure if it fails.", "link": "https://www.irs.gov/charities-non-profits/private-foundations/grants-by-private-foundations-expenditure-responsibility" }, { "authors": "Social Good Fund (socialgoodfund.org)", "year": "", "title": "Fiscal Sponsorship — Sponsorship Rates", "venue": "socialgoodfund.org", "finding": "Fiscal-sponsor fees run ~9-15% for Model A and ~4-10% for Model C.", "link": "https://www.socialgoodfund.org/fiscal-sponsorship/sponsorship-rates/" }, { "authors": "Mad Agriculture (madagriculture.org)", "year": "", "title": "The Perennial Fund", "venue": "madagriculture.org", "finding": "Mad Capital / the Perennial Fund lends $50-500/ac/yr for organic transition, spun out of the Mad Agriculture nonprofit.", "link": "https://madagriculture.org/perennial-fund" }, { "authors": "PJM Inside Lines", "year": "", "title": "Over 800 new generation projects seek to connect under PJM's reformed process", "venue": "PJM Inside Lines", "finding": "Over 800 new generation projects are seeking to connect under PJM's reformed interconnection process.", "link": "https://insidelines.pjm.com/over-800-new-generation-projects-seek-to-connect-under-pjms-reformed-process/" }, { "authors": "U.S. Energy Information Administration (EIA)", "year": "", "title": "Today in Energy (curtailment and co-located siting)", "venue": "U.S. Energy Information Administration", "finding": "CAISO curtailed 3.4M MWh in 2024, and co-located siting captured 72% vs 57% of locational price — quantifying post-COD curtailment/basis risk.", "link": "https://www.eia.gov/todayinenergy/detail.php?id=65364" }, { "authors": "Utility Dive", "year": "", "title": "New Jersey announces 355 MW storage procurement, solicits 645 MW more", "venue": "Utility Dive", "finding": "Every Garden State Energy Storage Program Tranche-1 award (355 MW) landed on defunct-coal/gas/landfill land; NJ CSI grid-supply solar makes closed sanitary landfills, brownfields, and areas of historic fill interim-eligible, and community solar earmarks 300 MW on landfills.", "link": "https://www.utilitydive.com/news/new-jersey-announces-355-mw-storage-procurement-solicits-645-mw-more/814971/" }, { "authors": "Littler", "year": "", "title": "Project Labor Agreements Expanded to More Public Construction in New Jersey", "venue": "Littler", "finding": "NJ's Jan-2026 PLA expansion extends project labor agreements to sub-$5M public projects, adding to prevailing-wage requirements on solar >=1 MWdc.", "link": "https://www.littler.com/news-analysis/asap/project-labor-agreements-expanded-more-public-construction-new-jersey" }, { "authors": "Internal Revenue Service (IRS)", "year": "", "title": "Domestic Content Bonus Credit", "venue": "Internal Revenue Service", "finding": "IRS documents the domestic-content bonus-credit thresholds underpinning the ratcheting domestic-content requirement.", "link": "https://www.irs.gov/credits-deductions/domestic-content-bonus-credit" }, { "authors": "SEIA", "year": "", "title": "Solar & Storage Supply Chain Dashboard", "venue": "Solar Energy Industries Association", "finding": "US module capacity reached ~60-70 GW by end-2025 against only ~10 GW of planned wafer/ingot capacity, an upstream supply-chain gap.", "link": "https://seia.org/research-resources/solar-storage-supply-chain-dashboard/" }, { "authors": "Utility Dive", "year": "", "title": "Data centers, PJM capacity auction", "venue": "Utility Dive", "finding": "Data centers drove 63% of the 2025/26 PJM capacity-price increase (~$9.3B; $6.5B / 40% of the $16.4B total) and NJ saw a 21.6% rate jump (Jul 2024-Jul 2025).", "link": "https://www.utilitydive.com/news/data-centers-pjm-capacity-auction/808951/" }, { "authors": "IEEFA", "year": "", "title": "Projected data center growth spurs PJM capacity prices factor 10", "venue": "IEEFA", "finding": "The 2026/27 PJM clearing price hit $329.17/MW-day (+22%) with a 6,623 MW reliability shortfall even at the cap, confirming NJ is acutely short.", "link": "https://ieefa.org/resources/projected-data-center-growth-spurs-pjm-capacity-prices-factor-10" }, { "authors": "New Jersey Board of Public Utilities (NJBPU)", "year": "", "title": "NJBPU Dual-Use (agrivoltaic) pilot — expressions of interest", "venue": "New Jersey Board of Public Utilities", "finding": "The NJBPU Dual-Use pilot drew 33 expressions of interest totaling roughly 140 MW, evidencing a live for-profit buyer for the agrivoltaic dossier.", "link": "" }, { "authors": "Garden State Storage program (New Jersey)", "year": "", "title": "Garden State Storage Tranche-1 awards — siting on defunct/landfill land", "venue": "New Jersey (Garden State Storage Incentive program)", "finding": "Garden State Storage Tranche-1's 355 MW all landed on defunct-coal/gas/landfill land, validating the brownfield/landfill siting thesis.", "link": "" }, { "authors": "Governor Sherrill (New Jersey), Executive Order No. 2", "year": "", "title": "NJ EO No. 2 — utility hosting-capacity filings", "venue": "Office of the Governor of New Jersey", "finding": "Gov. Sherrill's EO No. 2 forces NJ hosting-capacity filings, adding a public grid-capacity layer to the interconnection module.", "link": "" }, { "authors": "USDA Natural Resources Conservation Service (NRCS)", "year": "", "title": "NRCS Technical Service Provider (TSP) certification eligibility", "venue": "USDA Natural Resources Conservation Service", "finding": "For-profit LLCs are explicitly eligible to certify as NRCS Technical Service Providers, providing a clean flat-fee, grant-adjacent revenue path.", "link": "" }, { "authors": "USDA NRCS / USDA Forest Service / NJ SADC (conservation programs)", "year": "", "title": "Cross-program conservation stack — ACEP-ALE, Forest Legacy, SADC/Green Acres", "venue": "USDA NRCS (ACEP-ALE), USDA Forest Service (Forest Legacy), NJ State Agriculture Development Committee (SADC/Green Acres)", "finding": "ACEP-ALE (local govs eligible), Forest Legacy (states only), and SADC/Green Acres form the stackable conservation-program set whose cross-program optimization is the unstaffed slice Atlas targets.", "link": "" } ] }, { "title": "Conservation finance & pricing benchmarks", "slug": "conservation-finance-pricing-daas-benchmarks", "what": "Grant-writing and conservation-finance rates ($100-250/hr; $1,000-2,500/day) place a multi-day deal-architecture engagement squarely in Atlas's $10-25k flat-fee band, flat/hourly billing is the ethical norm (AFP/GPA ban commissions), and there is a ~5-10x gap between raw land-data-vendor economics and boutique-advisory retainer economics that supports pricing the DaaS as advisory rather than a data seat.", "relevance": "These comps validate flat-fee pricing, the 'no success fee' trust signal, and a per-territory advisory-retainer DaaS as the enterprise-value pivot rather than a commodity data-seat race.", "citations": [ { "authors": "DTN Progressive Farmer (dtnpf.com)", "year": "2025", "title": "USDA Rebrands Partnership for Climate-Smart", "venue": "dtnpf.com", "finding": "PCSC was cancelled in April 2025 and rebranded AMP, with federal framing flipped to regenerative/MAHA/producer-payment-share language.", "link": "https://www.dtnpf.com/agriculture/web/ag/news/business-inputs/article/2025/04/14/usda-rebrands-partnership-climate" }, { "authors": "Allied Grant Writers (alliedgrantwriters.com)", "year": "", "title": "Grant Writer Cost", "venue": "alliedgrantwriters.com", "finding": "Federal-grant-specialist rates run $150-250/hr.", "link": "https://www.alliedgrantwriters.com/grant-writer-cost/" }, { "authors": "Conservation Finance Network (conservationfinancenetwork.org)", "year": "", "title": "Conservation Finance 101", "venue": "conservationfinancenetwork.org", "finding": "Conservation-finance / fundraising-consultant rates run $100-250/hr, or $1,000-2,500/day.", "link": "https://www.conservationfinancenetwork.org/conservation-finance-101" }, { "authors": "Grant Professionals Association (grantprofessionals.org)", "year": "", "title": "Ethics (GPA Code of Ethics)", "venue": "grantprofessionals.org", "finding": "AFP and the Grant Professionals Association explicitly prohibit percentage/commission fees, with potential award revocation.", "link": "https://grantprofessionals.org/page/ethics" }, { "authors": "Instrumentl (instrumentl.com)", "year": "", "title": "Grant Writing Fees", "venue": "instrumentl.com", "finding": "Grant-writing ethical norms bar percentage/commission fees.", "link": "https://www.instrumentl.com/blog/grant-writing-fees" }, { "authors": "Funding for Good (fundingforgood.org)", "year": "", "title": "How to Determine Grant Writing Fees", "venue": "fundingforgood.org", "finding": "Federal-grant-specialist rates are $150-$250/hr, with a single complex federal proposal running $7,000-$10,000 flat (the $2,000 floor is for simple small-business grants, not complex federal work).", "link": "https://fundingforgood.org/how-to-determine-grant-writing-fees/" }, { "authors": "Consult Fees (consultfees.com)", "year": "", "title": "Environmental Consultants — fee use cases", "venue": "consultfees.com", "finding": "The $10-25k dossier sits in the environmental feasibility/permitting-strategy fee band ($8-25k), above a commodity Phase I ESA ($2-5k) and below utility-scale feasibility ($50k+).", "link": "https://consultfees.com/use-cases/environmental-consultants" }, { "authors": "AcreValue (acrevalue.zendesk.com)", "year": "", "title": "How much does it cost to use AcreValue", "venue": "acrevalue.zendesk.com", "finding": "AcreValue uses a Basic/Plus/Premium good/better/best tier ladder.", "link": "https://acrevalue.zendesk.com/hc/en-us/articles/4408910843284-How-much-does-it-cost-to-use-AcreValue" }, { "authors": "Land IQ (landiq.com)", "year": "", "title": "Land Use Mapping", "venue": "landiq.com", "finding": "The portfolio/annual-retainer tier ($25k+) maps closest to the Land IQ contract model.", "link": "https://www.landiq.com/land-use-mapping" }, { "authors": "Schmidt Consulting Group (schmidtconsulting.group)", "year": "", "title": "Cost for a Retainer", "venue": "schmidtconsulting.group", "finding": "Boutique-advisory retainers run $2-8k/mo (ESG advisory $3.5-10k/mo), versus data-vendor economics like CoreLogic ~$12k/yr.", "link": "https://www.schmidtconsulting.group/blog/cost-for-a-retainer/" }, { "authors": "Land Conservation Software (landconservationsoftware.com)", "year": "", "title": "Pricing", "venue": "landconservationsoftware.com", "finding": "Land-conservation software costs $989-1,949/yr, benchmarking a land-trust DaaS tier.", "link": "https://landconservationsoftware.com/pricing/" }, { "authors": "PriceLevel (pricelevel.com)", "year": "", "title": "CoreLogic Pricing", "venue": "pricelevel.com", "finding": "CoreLogic's median price is ~$12k/yr.", "link": "https://www.pricelevel.com/vendors/corelogic/pricing" }, { "authors": "LandGate (app.landgate.com)", "year": "", "title": "Subscription Plans", "venue": "app.landgate.com", "finding": "The prosumer lane is priced low (LandApp $72/yr), a volume game Atlas should not target.", "link": "https://app.landgate.com/app/subscription/plans" }, { "authors": "LandGate (landgate.com)", "year": "", "title": "Capital Markets — API Data Exports", "venue": "landgate.com", "finding": "LandGate runs a two-motion ladder: a cheap self-serve report funnel plus a custom-priced enterprise Asset-Report API (CSV/JSON/GeoJSON, KPMG partner).", "link": "https://www.landgate.com/capital-markets/api-data-exports" }, { "authors": "Carbon Herald (carbonherald.com)", "year": "", "title": "NCX explains why its 1-year forest carbon program discontinued", "venue": "carbonherald.com", "finding": "NCX's transaction-fee carbon marketplace collapsed on buyer demand and certification risk and pivoted to a free landowner-facing program-matcher.", "link": "https://carbonherald.com/ncx-explains-why-its-1-year-forest-carbon-program-discontinued/" }, { "authors": "Regrow (regrow.ag)", "year": "", "title": "Regrow Ag secures $38M in Series B to use agriculture to meet net-zero targets", "venue": "regrow.ag", "finding": "Regrow is a well-capitalized incumbent (~$60.7M raised), so Atlas competes on NJ-specific depth and flat-fee advisory rather than scale.", "link": "https://www.regrow.ag/post/regrow-ag-secures-38m-in-series-b-to-use-agriculture-to-meet-net-zero-targets" }, { "authors": "GMInsights (gminsights.com)", "year": "", "title": "Voluntary Carbon Credit Market", "venue": "gminsights.com", "finding": "The voluntary carbon market is projected to grow from $1.6B to $47.5B by 2035, though NJ is a thin carbon geography.", "link": "https://www.gminsights.com/industry-analysis/voluntary-carbon-credit-market" }, { "authors": "Mordor Intelligence (mordorintelligence.com)", "year": "", "title": "US Electric Vehicle Charging Equipment Market", "venue": "mordorintelligence.com", "finding": "The fleet/depot EV-charging segment shows ~35.8% CAGR.", "link": "https://www.mordorintelligence.com/industry-reports/us-electric-vehicle-charging-equipment-market" }, { "authors": "Sylvera (sylvera.com)", "year": "", "title": "Forest Carbon Credits", "venue": "sylvera.com", "finding": "[UNVERIFIED] Aggregators take 10-20% of credits plus 15-30% transaction costs, capturing most of the forest-carbon money.", "link": "https://www.sylvera.com/blog/forest-carbon-credits" }, { "authors": "Family Forest Carbon (familyforestcarbon.org)", "year": "", "title": "How It Works", "venue": "familyforestcarbon.org", "finding": "[UNVERIFIED] Realized forest-carbon payments are ~$10/ac/yr and go negative under ~100 acres ($30-85/ac/yr loss), with the flagship FFCP/AFF+TNC program not currently covering NJ.", "link": "https://familyforestcarbon.org/how-it-works/" }, { "authors": "NC State Extension (content.ces.ncsu.edu)", "year": "", "title": "An Introduction to Forest Carbon Offset Markets", "venue": "content.ces.ncsu.edu", "finding": "Small owners can participate directly (FFCP 30-ac min; CORE Carbon 40-ac; Verra no minimum) and the profitability floor is contested (~1,500 ac per NC State Extension; others cite 10-15k ac).", "link": "https://content.ces.ncsu.edu/an-introduction-to-forest-carbon-offset-markets" }, { "authors": "Sustainable Atlas (sustainableatlas.org)", "year": "", "title": "Trend Analysis: Soil Carbon MRV Incentives — Where the Value Pools Are and Who Captures Them", "venue": "sustainableatlas.org", "finding": "[UNVERIFIED] Farmers net only $2.50-6/ac/yr after MRV/aggregator take (40-60% of per-acre revenue), with soil sampling at $15-30/ac.", "link": "https://sustainableatlas.org/post/trend-analysis-soil-carbon-mrv-incentives-where-the-value-pools-are-and-who-captures-them-644" }, { "authors": "NCX (Natural Capital Exchange)", "year": "", "title": "NCX carbon marketplace — take-rate collapse and pivot to free program-matcher", "venue": "NCX (Natural Capital Exchange)", "finding": "NCX's carbon marketplace collapsed on take-rate plus certification risk and pivoted to a free program-matcher.", "link": "" }, { "authors": "Sylvera", "year": "", "title": "Sylvera positioning — 'not a broker, no fees'", "venue": "Sylvera", "finding": "Sylvera markets 'not a broker, no fees' as a paid feature, mirroring the position NJ's no-success-fee rule forces on Atlas.", "link": "" }, { "authors": "Crux / Anza Exchange", "year": "", "title": "Transaction-value take-rate benchmark for de-bottlenecking marketplaces", "venue": "Crux / Anza Exchange", "finding": "The most durable de-bottlenecking marketplaces (Crux, Anza Exchange) charge 0.5–3.0% of transaction value — a model legally off-limits in NJ.", "link": "" }, { "authors": "Build.inc", "year": "", "title": "Build.inc tracked-workflow and go/no-go monitoring model", "venue": "Build.inc", "finding": "Build.inc's tracked-workflow plus go/no-go monitoring is the template for Atlas's recurring per-territory advisory-retainer monitoring.", "link": "" }, { "authors": "Anza", "year": "", "title": "Anza Pulse → Solar Pro subscription ladder", "venue": "Anza", "finding": "Anza's Pulse-to-Solar-Pro ladder is a model for converting flat-fee clients into a tiered subscription (DaaS) product.", "link": "" }, { "authors": "Mad Agriculture", "year": "", "title": "Mad Agriculture nonprofit/LLC split structure", "venue": "Mad Agriculture", "finding": "Mad Agriculture's pattern — a nonprofit holding charitable/grant technical assistance and an LLC holding commercial work — is the template for a thin nonprofit affiliate once grant volume justifies it.", "link": "" }, { "authors": "Tesla / SolarCity (Silevo, Buffalo Gigafactory precedent)", "year": "", "title": "SolarCity/Silevo/Buffalo vertical-integration precedent", "venue": "Tesla / SolarCity", "finding": "The SolarCity/Silevo/Buffalo precedent shows that owning capital-heavy commodity means-of-production destroys value without a utility-scale balance sheet.", "link": "" }, { "authors": "First Solar; Cleveland-Cliffs; GE Vernova/Prolec; Hitachi; Siemens; Eaton; ERMCO", "year": "", "title": "Equipment/iron supply concentration (transformers, GSUs, GOES steel)", "venue": "Industry (named manufacturers)", "finding": "Transformer/GSU/switchgear and GOES-steel supply is a national-industrial and skilled-labor problem owned by Cleveland-Cliffs, GE Vernova/Prolec, Hitachi, Siemens, Eaton, and ERMCO through roughly 2029 — not solvable by a solo advisory.", "link": "" } ] } ] } ] }