Principles of Spatial Analysis 2023-2024
| Week | Section | Topic |
|---|---|---|
| 1 | Foundational Concepts | Spatial analysis for data science |
| 2 | Foundational Concepts | Graphical representation of spatial data |
| 3 | Foundational Concepts | Spatial autocorrelation |
| 4 | Raster data | Suitability Mapping I |
| 5 | Raster data | Suitability Mapping II |
| Reading week | Reading week | |
| 6 | Raster data | Geostatistics using Kriging |
| 7 | Applied Spatial Analysis | Geodemographics |
| 8 | Applied Spatial Analysis | Transport network analysis |
| 9 | Spatial models | Spatial models I |
| 10 | Spatial models | Spatial models II |
This GitHub page contains the material for Week 07 (Geodemographics) and Week 08 (Transport network analysis) of Principles of Spatial Analysis 2023-2024. The content for 2022-2023 has been archived and can be found here: [Link]