Lower Manhattan parcel explorer
Search addresses, filter land-use classes and numeric fields, sort records, and inspect a selected parcel.
Turn Excel, CSV, GeoJSON, GeoPackage, and Shapefiles into searchable interactive maps, slide-ready images, and publication figures—with Atlas Studio Light visual defaults, inspection, provenance, and browser verification built in.
Both demos are built from fixed NYC Open Data snapshots by the deterministic engine shipped in this repository.
Search addresses, filter land-use classes and numeric fields, sort records, and inspect a selected parcel.
Inspect subway stations, bicycle routes, and neighborhoods with independent visibility and layer-specific search.
The Skill resolves ambiguity, Atlas Studio Light supplies a coordinated starting point, and the Python engine owns deterministic data handling and rendering.
Discover layers, geometry, CRS, field roles, and blocking issues.
Close only the information gaps the data cannot answer.
Apply geometry-aware, density-aware visual defaults while preserving explicit choices.
Create a single-file Leaflet app and static figures.
Exercise browser behavior, counts, hashes, and provenance.