A production-focused resource for automating geospatial analysis, trade area modeling, and retail site selection pipelines — built for retail planners, real estate analysts, and the Python teams who turn spatial data into deterministic site recommendations.
Modern retail expansion runs on reproducible spatial infrastructure, not intuition. These guides cover the full automation stack: geocoding and address normalization, decoupled geospatial data lakes and spatial databases, routable network extracts and drive-time isochrones, demographic and mobility data joins, suitability scoring and competitor mapping, and the validation that proves a site model actually predicts anything.
Eighty-two in-depth guides across four sections pair architectural patterns with copy-ready Python, SQL, and configuration, so you can move from a raw address to an auditable, backtested site recommendation at enterprise scale.
Four connected sections take you from geocoded data foundations through routable networks and demographic and mobility integration to suitability scoring, ranked shortlists and model validation. Every page cross-links to the deeper how-tos beneath it.
Retail expansion has shifted from intuition-based scouting to algorithm-driven site selection, and the margin between a profitable new store and a…
Isochrone generation and network analysis are the computational engine behind modern retail site selection: they convert raw street topology into time- and…
Demographic data integration is the discipline that turns raw population statistics into the attribute layer a retail site-selection model can actually score…
Suitability scoring is the stage where every upstream spatial layer converges into a single number a real-estate committee can act on: a defensible…
The four newest topic areas plus the two guides that anchor everything else — from turning addresses into trustworthy coordinates and building a routable network, through mobility-based trade areas, to scoring sites and proving the model works.
Eighty-two pages, every one reproducible and copy-ready. Browse the full library by section, or jump straight to a deep how-to from the cards above.