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

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GEOG0114: Principles of Spatial Analysis

This GitHub repository creates the computer practicals for the module GEOG0114 Principles of Spatial Analysis 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 GEOG0114.2024/25

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

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