Lecture slides
Lecture 1: Introduction to geostatistics and spatial models
Lecture 2: Random forests for geospatial data and RandomForestGLS demonstration
Lecture 3: Neural networks for geospatial data
Lecture 4: GeospaNN demonstration
Data & Code Availability
Please keep the same folder structure as in this repository to make sure the code works.
Demo code:
These are the live code used in the lectures.
Lecture 2 RandomForestGLS demonstration:
- RandomForestsGLS code
Lecture 4 GeospaNN demonstration:
- Basic Features code
- Architecture Design code
- Compare with GAM code
- Compare with added-spatial-features approaches code
Lecture code:
These are the code used to generate all other figures in the slides.