Land Acquisition Intelligence

Score and rank parcels for any land use — datacenters, warehouses, solar farms, industrial parks, agricultural operations. Zero paid APIs. Runs fully local.

What It Does

1. Fetches real parcel data from public ArcGIS/OSM sources for any US region
2. Fetches infrastructure: highways, rail, substations, transmission lines, water
3. Scores every parcel against your use case (power access, logistics, acreage fit, zoning)
4. Outputs ranked CSVs of top sites with Google Maps links

Example Prompts

• "Find land for a datacenter near Reno NV"
• "Score parcels for a warehouse hub in Sparks Nevada"
• "Scout solar farm sites in Arizona within 5 miles of a substation"
• "Find agricultural land near water in the Central Valley CA"
• "Identify industrial sites along I-80 in Utah"

Use Cases

Use Case	Key Signal	Ideal Size
Datacenter	Power substation proximity	10–500 ac
Warehouse	Highway + rail access	5–200 ac
Solar	Acreage + transmission line	50–2000 ac
Agricultural	Water access + flat terrain	100+ ac
Industrial	Highway + zoning	5–100 ac
Custom	You define the weights	Any

Data Sources

All free, no API keys:

Layer	Source
Parcels	State/county ArcGIS REST APIs
Parcel fallback	OSM building + landuse footprints
Highways + interchanges	OSM Overpass
Rail lines	OSM
Substations + transmission	OSM power layer
Water infrastructure	OSM
Industrial/farmland zones	OSM landuse

Output

• {use_case}_candidates.csv — top 5,000 sites with all score components
• all_candidates_ranked.csv — full dataset ranked
• Google Maps link for every parcel

Coverage

Works for any US county with a public ArcGIS parcel layer (most counties). See references/state-endpoints.md for known endpoints.

Best coverage: Nevada, Utah, Arizona, Idaho, Oregon, Colorado, North Carolina.

Dependencies

pip install pandas numpy requests tqdm shapely pyproj geopandas

Scripts

Script	Purpose
scripts/fetch_data.py	Fetch parcels + infrastructure for a region
scripts/score_parcels.py	Score and rank parcels by use case
scripts/geocode.py	Resolve city name to lat/lon

Manual Run

# Step 1: fetch data for a region
python3 scripts/fetch_data.py --lat 39.5296 --lon -119.8138 --state NV --output /tmp/land-intel/raw/

# Step 2: score parcels
python3 scripts/score_parcels.py \
  --raw /tmp/land-intel/raw/ \
  --use-case datacenter \
  --output /tmp/land-intel/output/ \
  --center-lat 39.5296 \
  --center-lon -119.8138

# Geocode a city name
python3 scripts/geocode.py "Reno NV"
# → 39.5296,-119.8138

References

• references/state-endpoints.md — ArcGIS parcel endpoints by state (NV, UT, AZ, CO, OR, ID, NC, TX, FL, GA, VA, WA, CA)