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


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)

Related Courses

Related Categories