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https://github.com/RoboDonut/awesome-spatial
A list of awesome spatial repositories.
https://github.com/RoboDonut/awesome-spatial
List: awesome-spatial
Last synced: about 2 months ago
JSON representation
A list of awesome spatial repositories.
- Host: GitHub
- URL: https://github.com/RoboDonut/awesome-spatial
- Owner: RoboDonut
- Created: 2015-10-15T18:04:57.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2018-01-04T14:42:48.000Z (almost 7 years ago)
- Last Synced: 2024-05-23T04:11:52.027Z (7 months ago)
- Homepage: http://robodonut.github.io/awesome-spatial/
- Size: 26.4 KB
- Stars: 200
- Watchers: 32
- Forks: 24
- Open Issues: 100
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-Earth-Artificial-Intelligence - Awesome-Spatial
- awesome-open-geoscience - Awesome-Spatial
- awesome-coastal - Awesome-Spatial
- awesome-starred - RoboDonut/awesome-spatial - A list of awesome spatial repositories. (others)
README
# awesome-spatial
A list of [awesome](https://github.com/sindresorhus/awesome/blob/master/awesome.md) spatial repositories.
This curated list is compiled from discovered and used repositories as well as user contributions from https://gisdevs.slack.com/. Pull requests and suggestions (via issue tracking) are welcome.
In accordance with being [awesome](https://github.com/sindresorhus/awesome/blob/master/awesome.md) only awesome repositories are added. That said spatial is awesome so, take ["awesome"](https://github.com/sindresorhus/awesome/blob/master/awesome.md) with a grain of salt...
***## Analysis
### Geometry
* https://github.com/geopandas/geopandas
* https://github.com/libspatialindex/libspatialindex
* https://github.com/JuliaGeo/LibGEOS.jl
* https://github.com/pysal/pysal/
* https://github.com/Toblerity/Fiona
* https://github.com/Toblerity/Shapely
* https://github.com/tmcw/awesome-geojson
* https://github.com/ungarj/mapchete (divide data for processing)
* https://github.com/iThinker/CheapRulerIOS (measure stuff, cheaply (iOS))
* https://github.com/cschwarz/wkx (WKT/WKB/EWKT/EWKB/TWKB/GeoJSON parser, javascript)### Network
* https://github.com/UDST/pandana
* https://github.com/valhalla/thor
* https://github.com/mapzen/on-the-road## Database
* https://github.com/mapbox/postgis-vt-util
* https://github.com/planetopendata/awesome-sqlite
* https://github.com/neo4j-contrib/spatial
* https://github.com/tiepologian/neospatial-py
* https://github.com/dmfenton/winnow (apply sql to geojson in memory)
* https://github.com/mraad/spark-gdb (parse Esri File Geodatabase with Apache Spark)## Data conversion
* https://github.com/mapbox/csv2geojson (csv to geojson)
* https://github.com/koopjs/GeoXForm (transform large streams of geojson into csv, kml, shapefile and other formats)## Web
* https://github.com/spatialdev/PGRestAPI
* https://github.com/mapbox/geojson-vt
* https://github.com/tedsteiner/OpenStreetMap.jl
* https://github.com/JasonSanford/tileify-ags
* https://github.com/odoe/generator-arcgis-js-app
* https://github.com/cmv/cmv-app
* https://github.com/cmv/cmv-contrib-widgets
* https://github.com/SpatialServer/Leaflet.MapboxVectorTile
* https://github.com/nickcam/FlareClusterLayer
* https://github.com/steveoh/esrislurp
* https://github.com/mgd722/decode-google-maps-polyline
* https://github.com/mapsme/omim/
* https://github.com/dheerajchand/ubuntu-django-nginx-ansible (Django GIS project template)
* https://github.com/mojodna/tessera (tilelive-based tile server)
* https://github.com/pka/t-rex (vector tile server)
* https://github.com/openmaptiles (vector tile server + map styles)## Visualization
* https://github.com/python-visualization/folium
* https://github.com/domlysz/BlenderGIS
* https://github.com/mapbox/tippecanoe
* https://github.com/mapbox/awesome-vector-tiles
* https://github.com/kosmtik/kosmtik
* https://github.com/jwass/mplleaflet
* https://github.com/ellisonbg/ipyleaflet
* https://github.com/lukasmartinelli/postgis-editor (PostGIS Viewer)
* https://github.com/NYCPlanning/postgis-preview (PostGIS Viewer)
* https://github.com/haoliangyu/leaflet-vt-viewer (View Vector Tiles)
* https://github.com/mapbox/tilelive-mapnik (Renderer backend for tilelive.js)## Rasters & Remote Sensing
* https://github.com/developmentseed/landsat-util
* https://github.com/mapbox/rasterio
* https://github.com/geotrellis/geotrellis
* https://github.com/wkearn/RasterIO.jl
* https://github.com/perrygeo/python-rasterstats/
* https://github.com/haoliangyu/node-qa-masker (node js produce masks from the Quality Assessment band of Landsat 8 OLI images, as well as MODIS land products)
* https://github.com/ungarj/tilematrix (handle tile pyramids)
* https://github.com/geo-data/gdal-docker (raster analysis in Docker)
* https://github.com/sentinelsat/sentinelsat (find and download Copernicus Sentinel satellite images)
* https://github.com/oyvindym/earth-observation-api (Earth Observation data over various APIs, samples)## Tutorials and Cheat sheets
* https://github.com/sgillies/frs-cheat-sheet
* https://github.com/carsonfarmer/python_geospatial
* https://github.com/kjordahl/SciPy-Tutorial-2015
* https://github.com/dwtkns/gdal-cheat-sheet## Misc.
* https://github.com/mbloch/mapshaper
* https://github.com/johnjreiser/chupaESRI
* https://github.com/haoliangyu/ares (desktop raster editing)
* https://github.com/mapbox/vector-tile-spec/
* https://github.com/gdherbert/DataPillager (extract data from a feature service)
* https://github.com/mapskin/mapskin (SVG icons)
* https://github.com/steveoh/arcgis-on-docker (ArcGIS on Docker)
* https://github.com/mraad/docker-arcgis (ArcGIS on Docker)
* https://github.com/mapbox/awesome-vector-tiles (Awesome List of Vector Tile related stuff)
* https://github.com/ucd-cws/arcpy_metadata (Metadata editor)
* https://github.com/JamesMilnerUK/lee-algorithm-js (maze solver)
* https://github.com/nypl-spacetime/map-vectorizer (geographic polygon and attribute data extraction from maps )
* https://github.com/stedolan/jq (json parser CLI)
* https://github.com/OSMNames/OSMNames (fulltext search on OSM data, ranked by related Wikpedia article popularity)To Do:
1. Add snippet or preview from repo
2. Add a short code snippet showing use
3. Add small graphic of out from number 2