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Course Outline

Introduction to GIS

Installation and Required Packages

Introduction to Shapely for Geometric Objects

Intro to Pandas and GeoPandas

Managing Maps and Projections

Geocoding and the ArcGIS API

Geocoding Points within Polygons using GeoPandas

Spatial Join

Data Classification with the PySAL Map Classifier

Overlay Analysis

Aggregating Spatial Data

Simplifying Geometries

Visualization with Bokeh

Static and Interactive Maps

Utilizing GIS Applications

ArcGIS API Usage and the Processing Toolbox

Python in QGIS: Processing Toolbox & Graphical Modeler

Creating a Custom Processing Toolbox

Network Analysis and OpenStreetMap

Downloading and Working with OpenStreetMap Data: Osmnx

Network Analysis in Python: NetworkX and Osmnx

Conclusion

Requirements

Previous experience with Python for Machine Learning, as well as familiarity with libraries like pandas and matplotlib, is strongly recommended.

 21 Hours

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