reference.md

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Useful References

Most of these links are blog posts. The date shown is the blog post date, or else some other document date. A couple of links are in French, all from the same blog; apologies, but they're excellent resources -- if you know French! They're probably useful even if you don't know French.

• 2016-Autumn. University of Liverpool ENVS363/563 - Geographic Data Science, specially:
  • Lab 2 - (Geo)Visualization
  • Lab 3 - Automated choropleths
  • Lab 4 - Spatial Weights
  • Lab 5 - ESDA (Exploratory Spatial Data Analysis)
• (In French) 2016-10: Python: GeoPandas ou le Pandas spatial
• 2016-6: Basic Interactive Geospatial Analysis in Python
• ipyleaflet - A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook
• 2016-4: Processing vector features in Python. "features in, features out".
• (In French) 2016-2: Python a finalite geospatiale: pourquoi debuter avec le module ogr alors qu'il existe des alternatives plus simples et plus didactiques?
• (In French) 2014-10: Les notebooks IPython comme outil de travail dans le domaine geospatial ou le plaisir de partager, de collaborer et de communiquer
• 2015: kjordahl/SciPy-Tutorial-2015: Geospatial data tutorial (geopandas)
• Filipe Fernandes bog: Folium and other mapping tools
  • 2015-12: Plotting a GeoDataFrame with folium. Includes cool example of going from geodataframe.crs to projection information using pyepsg; plus reprojecting with geopandas to_crs method and serializing as GeoJSON to display in Folium! Including use of Carto basemaps in Folium.
  • 2015-11: Displaying a field of arrows with folium
  • 2015-8: (geopandas.plot vs cartopy vs folium) Three ways to make a choropleth
• 2012-10: GIS with Python, Shapely, and Fiona
• A SQL tutorial, from the UW eScience Institute member