This repository contains practical exercises on spatial analysis with implementation in R. This is part of the insightful Introduction to Spatial Analysis in R course offered by the London School of Hygiene & Tropical Medicine, held from 20–31 January 2025. Visit here to learn more about the course: https://www.lshtm.ac.uk/study/courses/short-courses/Spatial-analysis-R
The exercises in the repository cover different topics as detailed in the table below:
| Topics | Details |
|---|---|
| Introduction to Spatial in R | Reading and manipulating spatial data objects such as shape files |
| Introduction to Modelling | Statistical modelling with the Generalised Linear Model |
| Introduction to Modelling | Extensions to GLMs for spatially structured data |
| Modelling with Discrete Space | Models for areal data |
| Modelling with Continuous Space | Model-based geostatistics |
As of now, the repository is structured in the following way:
data/scripts/outputs/
The repository was created in R version 4.4.2, and the following dependencies were used:
{readr}version 2.1.5{dplyr}version 1.1.4{ggplot2}version 3.5.1{sf}version 1.0-19 https://r-spatial.github.io/sf/{terra}version 1.8-10{mgcv}version 1.9-1{mapview}version 2.11.2 https://r-spatial.github.io/mapview/articles/{spatstat}version 3.3-0{sparr}version 2.3-15{raster}version 3.6-31{tmaptools}version 3.2{spdep}version 1.3-9{sp}version 2.1-4{sparr}version 2.3-15{tmap}version 3.3-4 https://r-tmap.github.io/tmap/
This repository is licensed under a GNU General Public License 3 (GPL-3).