Site-control funnel

Buildable acres by stage

Est. acquisition cost by stage

Candidate parcels — site control

Synthetic shortlist. Click a row to locate it on the map.

ParcelCounty StatusBuildable ac $/acTitle SuitabilityUpdated

Methodology & About

What this is, honestly. A reference demonstration over public South Texas data, distilled from how I evaluate sites in practice. The geospatial and infrastructure layers are real and sourced; ownership names and the deal pipeline are synthetic, for demonstration. I trained in ArcGIS/ESRI during my Master of Real Estate at Texas A&M and re-sharpened hands-on in QGIS to build this — open-source, brand-agnostic, and translatable to ArcGIS Pro and Google Earth. The methodology, not the tool, is the point.

The model

Every rural parcel ≥ 50 acres is scored with a transparent weighted overlay: each criterion is normalized to 0–100 against absolute, domain-anchored breakpoints, weighted, summed, and ranked. Interconnection leads, because in ERCOT that is the constraint that makes or breaks a site. All weights and breakpoints live in a single config.yaml — illustrative and tunable; a production-tuned model is discussed in conversation.

CriterionWeightHow it scores
Interconnection proximity35%Distance to nearest ≥138 kV substation/line (≤1 mi → 100, ≥10 mi → 0)
Buildable acreage20%Acres after exclusions/setbacks (50 ac → 0, ≥640 ac → 100)
Terrain15%Mean slope (≤2% → 100, ≥5% → 0; very steep excluded)
Land cover + soils10%Open/marginal land favored; prime farmland (NRCS LCC 1–2) penalized
Hazard-free10%% of parcel outside floodplain/wetlands
Road access5%Distance to paved public road
Contiguity / shape5%Polsby-Popper compactness

Exclusions & setbacks (subtracted before scoring): FEMA SFHA high-risk floodplain, NWI wetlands, PAD-US protected lands, plus Eagle Ford setbacks from Texas Railroad Commission data — 150 ft around active wellheads, 50 ft around pipelines — and 100 ft parcel-boundary / 150 ft right-of-way setbacks.

What's live in this build. Every parcel ≥ 50 acres in Wilson and Karnes counties is scored from live public data across all seven criteria: interconnection (distance to the nearest ≥138 kV substation and line), buildable acreage, terrain (USGS 3DEP slope), land cover (NLCD) and soils (NRCS land-capability class), floodplain (FEMA NFHL), road access (TIGER), and parcel shape. Both lenses are live as well — flexible-load adds proximity to existing generation (EIA power plants), and agrivoltaics reads land cover, slope, and soil class. The one factor held neutral is generation curtailment-basis, which needs nodal price data.

Two more lenses

The same parcels can be re-scored for flexible / large load (interconnection headroom, proximity to generation, demand-response value) and for whole-site dual use (agrivoltaics — grazing compatibility, marginal-soil preference, pollinator habitat, soil-and-water stewardship). The base model and flex-load lens reward open, buildable, non-prime land; the agrivoltaic lens rewards working ag land. Same ground, three value systems.

Why this geography

San Antonio's data-center load is on track toward 3,300+ MW by 2033, with CPS Energy planning upwards of $1.3B in transmission to keep up. An hour north, Rockdale (Riot Platforms) turned a bitcoin mine into an AI data center on a ~700 MW on-site substation that curtails 95%+ of its load near-instantly when the grid needs it — and signed a ~$311M, 10-year AMD lease in January 2026. Interconnection-aware land screening is the live problem in this corridor.

Data sources & restricted-data discipline

All layers are public and cited with retrieval dates in data/SOURCES.md (TxGIO parcels; HIFLD transmission & substations; FEMA NFHL; USGS 3DEP/NLCD; USDA-NRCS soils; USFWS NWI; USGS PAD-US; Texas RRC wells/pipelines; ERCOT/EIA generation context; USDA NAIP imagery). No MLS/IDX data is used. The license-restricted ERCOT network model is never displayed raw — any capacity signal is abstracted to a 0–100 "Grid Connectivity Index"; the public map overlay uses HIFLD.

LayerSourceIn this build
ParcelsTxGIO StratMap (county appraisal districts)live
Substations · transmissionHIFLD · DOE-NETL Energy Atlaslive
Terrain (slope)USGS 3DEPlive
Land coverUSGS / MRLC NLCD 2021live
Soils (capability class)USDA-NRCS SSURGO · Soil Data Accesslive
FloodplainFEMA NFHL (SFHA zones)live
RoadsU.S. Census TIGERlive
GenerationEIA power plantslive
Aerial basemapUSDA NAIP / Esri World Imagerylive
Synthetic-data disclosure. Geospatial and infrastructure data are public and sourced. Ownership names and all deal-pipeline statuses, prices, and dates are synthetic, for demonstration.