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 Point in Polygons with GeoPandas

Spatial join

Data Classification; pysal map classifier

Overlay Analysis

Aggregating spatial data

Geometries simplifications

Visualization with Bokeh

Static and Interactive Maps

Using GIS Applications

ArcGIS API usage and processing toolbox

Python in QGIS; Processing toolbox & graphical modeller

Creating own processing toolbox;

Network Analysis and OpenStreetMap

Downloading and working with OpenStreetMap data; Osmnx

Network analysis in Python; Networkx; Osmnx;

Conclusion

Requirements

A prior experience with Python for Machine Learning and with the libraries like pandas, matplotlib is highly recommended.

 21 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses