| .. | ||
| cleanup_data.py | ||
| get_data.sh | ||
| index.js | ||
| README.md | ||
from the US Census Bureau:
https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html
more description here:
Including the following:
File Naming Convention
2013 to Present Files
The cartographic boundary files are named cb_yyyy_ss__rr.zip where:
- yyyy = 4 digit year
- ss = state FIPS code or 'us' for a national level file
- entity = the entity name
- rr = resolution level
- 500k = 1:500,000
- 5m = 1:5,000,000
- 20m = 1:20,000,000
I prefer the KML options when available since OpenLayers doesn't [citation needed?] have built-in support for shapefiles (.shp)? That said, we also do transform KML to GeoJSON to be able to edit more easily (and it's sometimes good for a smaller file size).
For more information, see e.g.:
https://indicatrix.org/post/shapefiles-in-openlayers/
Census Bureau data appears to be using a different (US-centric, possibly?) projection; this may require more work to be accurate going forward.