Python GIS

Notebooks for Python-GIS Lessons use in Automating GIS Processes: https://automating-gis-processes.github.io/site/index.html

►To use these lessons:

• Open https://mybinder.org/v2/gh/DataDevils/PythonGIS/master; this should open a new Jupyter environment.

• Extract data

Lesson 1:

• L1/geometric-objects.ipynb: Introduction to geometric objects and the Shapely package
• L1/Exercise-1.ipynb: Durham, Raleigh, and Chapel Hill as geometric objects

Lesson 2:

• L2/0-data_io.ipynb: Reading and writing geospatial data [Optional]
• L2/1-Geopandas-basics.ipynb: Introduction to GeoPandas
• L2/2_projections.ipynb: Coordinate reference systems and transforming spatial data projections
• L2/3_calculating-distances.ipynb: Methods of geospatial objects
• L2/4_geopandas-geometries.ipynb: Creating new spatial data layers from raw data
• L2/Exercise-2.ipynb:

Lesson 3:

• L3/1-geocoding_in_geopandas.ipynb: Geocoding - transforming addresses into coordinates
• L3/2-point-in-polygon.ipynb: Spatial queries
• L3/3-spatial_index.ipynb: Improving performance
• L3/4-spatial_join.ipynb: Combining spatial data layers
• L3/5-nearest-neighbour.ipynb: Finding nearby features
• L3/Exercise-3.ipynb

Lesson 4:

• L4/1-geometric-operations.ipynb: Create new geometries based on overlay analysis; aggregating data
• L4/2-reclassify.ipynb: Data reclassification
• L4/Exercise-4.ipynb

Lesson 5:

• L5/1-static_maps.ipynb: Static maps
• L5/2-interactive-map-folium.ipynb: Interactive Leaflet maps (Folium and mplleaflet)
• L5/3-Employment_in_Finland.ipynb: Sharing interactive maps on GitHub

Lesson 6:

• L6/1-retrieve_osm_data.ipynb: Retrieving OpenStreetMap data

• L6/2-network-analysis.ipynb: Network analysis in Python