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 The content for 2023-2024 has been archived and can be found here: [Link]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:

Second full rewrite of the workbook using Quarto.
Fully updated geodemographics content drawing on the London Output Area Classification.
Updated accessibility analysis content using Overture Point of Interest data.

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