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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 ArcGIS API

Geocoding Points within Polygons using GeoPandas

Spatial Join

Data Classification; Pysal Map Classifier

Overlay Analysis

Aggregating Spatial Data

Geometry Simplifications

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

Prior experience with Python for Machine Learning, as well as familiarity with libraries such as pandas and matplotlib, is highly recommended.

 21 Hours

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