# Essential Python Geospatial Libraries

## Geospatial Data

* [geopandas][] - Working with spatial data is fun again!
* [shapely][] - For geometry handling
* [rtree][] - For efficiently querying spatial data
* [geographiclib][] - For solving geodesic problems
* [pyshp][] - For reading and writing shapefiles (in _pure_ Python)
* [pyproj][] - For conversions between projections
* [rasterio][] - A Pythonic way to work with geospatial rasters
* [fiona][] - For making it _easy_ to read/write geospatial data formats
* [ogr/gdal][] - For reading, writing, and transforming geospatial data formats
* [pyqgis][] - For anything and everything GIS
* [geopy][] - For geolocating and things like that
* [geojsonio.py][] - For shooting data to the web
* [geog][] - For a numpy interface to solve geodesic problems
* [h5py][] - Your pythonic gateway to hdf5 files
* [pyModis][] - Download and preprocess MODIS data
* [pyspatial](https://github.com/granularag/pyspatial) - projection aware querying of vector/raster data

## Data Analysis

* [scipy][] - General scientific computing library. Has a spatial module.
* [scikit-image][] - Algorithms for (satellite) image processing
* [scikit-learn][] - Machine learning for python
* [statsmodels][] - For models and stats in Python
* [pysal][] -  Spatial econometrics, exploratory spatial and spatio-temporal data analysis, spatial clustering (and more)
* [networkx][] - For working with networks (duh!)
* [rasterstats][] - For analyzing rasters based on vector geometries (zonal statistics)

## Plotting/Mapping

* [matplotlib][] - For all my plotting needs
* [cartopy][] - For plotting spatial data on projections and more
* [folium][] - Python Data. Leaflet.js Maps.
* [nodebox-opengl][] - For playing around with animations
* [descartes][] - For plotting geometries in matplotlib
* [basemap][] - For plotting geospatial data on projections
* [mplleaflet][] - For creating web-maps

## General Python

* [pandas][] - For data handling and munging
* [numpy][] - For pretty much anything that involves arrays
* [ipython][] - For a wondering interactive environment in which to play

## Other

* [pelican][] - For blogging about all this stuff...

[mplleaflet]: https://github.com/jwass/mplleaflet
[geojsonio.py]: https://github.com/jwass/geojsonio.py
[basemap]: https://github.com/matplotlib/basemap
[rasterio]: https://github.com/mapbox/rasterio
[pandas]: http://pandas.pydata.org/
[geopandas]: https://github.com/kjordahl/geopandas
[shapely]: https://pypi.python.org/pypi/Shapely
[cartopy]: http://scitools.org.uk/cartopy/
[rtree]: http://toblerity.github.io/rtree/
[nodebox-opengl]: http://www.cityinabottle.org/nodebox/
[statsmodels]: http://statsmodels.sourceforge.net/
[numpy]: http://www.numpy.org/
[geopy]: https://code.google.com/p/geopy/
[ipython]: http://ipython.org/
[freetype-py]: https://code.google.com/p/freetype-py/
[ogr/gdal]: https://pypi.python.org/pypi/GDAL/
[matplotlib]: http://matplotlib.org/
[fiona]: http://toblerity.github.io/fiona/
[folium]: https://github.com/python-visualization/folium
[networkx]: http://networkx.github.io/
[pelican]: http://docs.getpelican.com/en/3.2/
[pyqgis]: http://www.qgis.org/pyqgis-cookbook/
[pysal]: http://pysal.org
[geographiclib]: http://geographiclib.sourceforge.net/
[pyproj]: https://code.google.com/p/pyproj/
[pyshp]: https://code.google.com/p/pyshp/
[descartes]: https://pypi.python.org/pypi/descartes
[rasterstats]: https://github.com/perrygeo/python-raster-stats
[geog]: https://github.com/jwass/geog
[scipy]: https://github.com/scipy/scipy
[scikit-image]: http://scikit-image.org/
[scikit-learn]: https://github.com/scikit-learn/scikit-learn
[h5py]: https://github.com/h5py/h5py
[pyModis]: https://pypi.python.org/pypi/pyModis