Past Workshops
Deep Learning for Geospatial Science
Explore deep learning approaches for geospatial data analysis, including neural networks, image classification, and spatial feature extraction using Python.
GitHub RepositoryGeospatial Python Series 2
The second installment in the Geospatial Python Series, focusing on advanced spatial data analysis and visualization techniques using Python.
GitHub RepositoryGeospatial Python Series 1
The first workshop in the Geospatial Python Series, introducing geospatial concepts and Python libraries for spatial data processing.
GitHub RepositoryNetwork Analysis and Visualization
Learn the fundamentals of network analysis and visualization using Python and popular libraries. This workshop guides you through practical steps and real-world datasets.
GitHub RepositoryGeocomputation Workshop
Explore geocomputation techniques and spatial analysis using open-source tools. Hands-on exercises with real-world data.
GitHub RepositoryGeocoding Workshop
A practical introduction to geocoding concepts, address formatting, and using geocoding APIs and tools.
GitHub RepositorySpatial Machine Learning
Discover how machine learning techniques are applied to spatial data for prediction and analysis.
GitHub RepositorySpatial Statistics with R
Hands-on workshop covering spatial statistics in R, including autocorrelation, kriging, and spatial regression.
GitHub RepositorySpatial Analysis with R
Introduction to spatial analysis using R, focusing on mapping, visualization, and spatial data manipulation.
GitHub RepositorySatellite Image Analysis
Learn the basics of satellite image processing and analysis with open-source tools and real datasets.
GitHub RepositoryGDAL Introduction
An introduction to GDAL, the Geospatial Data Abstraction Library, for raster and vector data processing.
GitHub RepositoryPPLP GIS Workshop
A workshop focused on GIS applications in public policy and planning, featuring hands-on exercises and case studies.
GitHub Repository