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Course Outline

Introduction to GIS

Installation and Required Packages

Introduction to Shapely for Geometric Objects

Introduction to Pandas and GeoPandas

Managing Maps and Projections

Geocoding and the ArcGIS API

Geocoding Points within Polygons using GeoPandas

Spatial Joins

Data Classification; pysal Map Classifier

Overlay Analysis

Aggregating Spatial Data

Simplification of Geometries

Visualization with Bokeh

Static and Interactive Maps

Utilizing GIS Applications

ArcGIS API Usage and Processing Toolbox

Python in QGIS; Processing Toolbox & Graphical Modeler

Creating Your Own Processing Toolbox

Network Analysis and OpenStreetMap

Downloading and Working with OpenStreetMap Data; Osmnx

Network Analysis in Python; Networkx; Osmnx

Conclusion

Requirements

Previous experience with Python for Machine Learning, particularly using libraries such as pandas and matplotlib, is highly recommended.

 21 Hours

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