landuse_without_buildings
geospatialdatascience
landuse_without_buildings | geospatialdatascience | |
---|---|---|
1 | 14 | |
11 | 454 | |
- | - | |
1.6 | 0.0 | |
about 1 year ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Creative Commons Attribution 4.0 |
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landuse_without_buildings
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Which Postgres and PostGIS views do you find most useful?
Hey, I happen to have done something like this: https://github.com/hfs/landuse_without_buildings/
geospatialdatascience
What are some alternatives?
GeoDesk - Fast and storage-efficient spatial database engine for OpenStreetMap data
geospatial-data-catalogs - A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
unmapped-census - Find missing residential areas in Germany in OpenStreetMap based on census 2011
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
app - Prototype toolkit for sustainable urban design at the speed of thought.
osm-geo-mapper - Navigate OpenStreetMap data in the terminal
felicette - Satellite imagery for dummies.
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
everystreet - An algorithm finding #everystreet route on Open Street Map (OSMnx)
30-day-map-challenge - Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools