Principles of Spatial Analysis

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 Accessibility analysis
9 Spatial models Spatial models I
10 Spatial models Spatial models II

This GitHub resource has been updated for the 2024-2025 academic year. The content for 2023-2024 has been archived and can be found here: [Link]

Major updates

This year’s version features the following major updates:

Acknowledgements

This workbook is created using the Quarto publishing system. Elements of this workbook are partially based on and modified from:

The datasets used in this workbook contain:

  • Data from Office for National Statistics licensed under the Open Government Licence v.3.0
  • OS data © Crown copyright and database right [2024]