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This repository contains all practical notes for the module Principles of Spatial Analysis (GEOG0114) 2023/24

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GEOG0114: Principles of Spatial Analysis

This GitHub repository creates the computer practicals for the module GEOG0114 Principles of Spatial Analysis (2023/24) at the University College London's Department of Geography. It contains the tutorials for the following weeks:

Week 1: Spatial analysis for data science
Week 2: Graphical representation of spatial data
Week 3: Spatial autocorrelation
Week 4: Suitability mapping: Part 1 - Analytical Hierarchical Process (AHP)
Week 5: Suitability mapping: Part 2 - Ecological Niche Modelling
Week 6: Geostatistical analysis using Kriging
Week 9: Spatial regression models: Part 1 - Spatial Lags and Errors
Week 10: Spatial regression models: Part 2 - Geographically Weighted Regression

It can be found here: https://uclpg-msc-sgds.github.io/GEOG0114/

The following tutorials for Network Analysis (Week 7) and Geodemographics (Week 8) were authored by Dr Justin van Dijk. These are accessible here: https://jtvandijk.github.io/GEOG0114/

Shield: CC BY-SA 4.0

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

Author: Dr. Anwar Musah (a.musah@ucl.ac.uk)
Version GEOG0114.2023/24
Last updated: 17/10/2023 17:42pm

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This repository contains all practical notes for the module Principles of Spatial Analysis (GEOG0114) 2023/24

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