geospatial-data-science

Geospatial Data Science course from University of Delaware developed for NSF grant #2123264 "Collaborative Research: HDR DSC: Delaware and Mid-Atlantic Data Science Corps"

Content Block II: Techniques

Lecture 5: Set Theory & Geospatial Queries

Lab 5: Forming Geospatial queries with Shapely, plotting and counting with GeoPandas Slides Instructions Example code Data for exercise 2 (Jupyter notebook)

Lecture 6: Probability Theory, Spatial Correlation

Lab 6: Generate & Analyze Spatial RVs Slides Instructions Example code 1 Example code 2 Example code 3 Data for exercise 2 (Jupyter notebook) Base notebook

Lecture 7: Models for predicting spatial patterns

Lab 7: Raster sampling and multidimensional arrays Slides Instructions Example code Data for exercise 2 (Jupyter notebook)

Lecture 8: Machine learing for geospatial data

Lab 8: Neural networks and Scikit-learn Slides Instructions Example code Data for exercise 2 (Jupyter notebook)