Version: 1.0.0 | Published: 8 May 2025 | Updated: 427 days ago
An Introduction to Spatial Data Analysis and Visualisation in R
Dataset
Summary
Description:
This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open source software environment for statistical computing and graphics.
Contact Point:
Documentation
Documentation:
This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open source software environment for statistical computing and graphics. It has a range of bespoke packages which provide additional functionality for handling spatial data and performing complex spatial analysis operations. The practical series uses open data which has been made readily available for each tutorial and demonstrates a range of techniques that are useful for social science research including multivariate analysis, mapping and spatial interpolation.
The tutorials and their associated data are freely available, although users are required to register for an account on this website to access them. For any questions or concerns please see the contact information below.
Coverage
Temporal
Date of First Release:
28 November 2024
Provenance
Origin
Source:
- ONS
- GeoDS
Author 1
Family Name Person:
Lansley
Given Name Person:
Guy
Author 2
Family Name Person:
Cheshire
Given Name Person:
James
Access and Governance
Access
Access Service:
The data for this research have been provided by the Geographic Data Service (geods.ac.uk), a Smart Data Research UK Investment: ES/Z504464/1.
Data Controller:
James Cheshire
Licence:
Creative Commons Attribution
Format and Standards
Format:
- HTML
- ZIP
- CSV