Geo Atlasby tabaqat · Strata
Catalog
hover = preview · ⊕ = pin · ℹ = dossier
Workbench
Pin layers with ⊕ — compose a map, then take it with you.

See it before you download it.

Every public map layer, live on one canvas. Hover to preview, pin to combine, draw an area to see what covers it — and leave with a working map, not a zip file.

1
Hover any dataset — the real layer renders instantly on the shared map. No thumbnails, no clicking through.
2
Pin the layers you like — they compose into one live map in the workbench tray.
3
Leave with a map — a working layers.json, a share-link, or GeoJSON. Not a zip you have to pray over.

Developer

The catalog, machine-readable

One JSON per catalog drives this whole site — generated by build_catalog.py; switch catalogs with ?catalog=md / ?catalog=ca.

Query any dataset (ArcGIS REST)
## live count
curl "https://mdgeodata.md.gov/imap/rest/services/Hydrology/MD_Floodplain/FeatureServer/0/query?where=1%3D1&returnCountOnly=true&f=json"
## geojson slice (note: f=geojson lowercases field names; always outSR=4326)
curl "…/FeatureServer/0/query?where=1%3D1&outFields=*&outSR=4326&f=geojson&resultRecordCount=100"
Server notes
llms.txt

This catalog is AI-readable: point an agent at catalog-md.json; each record carries endpoints + shelf + tags. DCAT/OGC Records feeds are the production path (see RECIPE §3.3).