A practical tool for spatial science. You can audit every step, question every coefficient, and put a confidence number next to every claim.
SPARC doesn't use one formula for an entire city. It fits local patterns — so the relationship between trees and temperature in a dense downtown is different from a leafy suburb.
You tell SPARC what causes what — or let it propose. Either way, it tracks the direction of effects, not just patterns in the data. That's the difference between description and explanation.
Add tree canopy. Resurface roads with lighter materials. SPARC shows what would likely happen — with an honest range of uncertainty, location by location.
A simplified urban-heat study on Boston, MA. Every step is tracked and can be reproduced exactly.
Four steps, in plain language. The same flow whether you're studying heat in a city or moisture in a watershed.
Start with the data. SPARC maps how things vary across space and flags the patterns worth chasing.
Fit models everywhere at once — each location gets relationships calibrated to it, not to a city-wide average.
Lay out what causes what. Accept SPARC's proposed structure, edit it, or write your own — physics constraints are built in.
Compare interventions on one map. Get location-by-location confidence ranges and a full reproducible record.
SPARC is in private beta. We're upgrading the application, smoothing rough edges, and partnering with planners and researchers on real projects. Tell us about your area of interest and we'll see if there's a fit.
