Version: 1.0.0 | Published: 8 May 2025 | Updated: 252 days ago
Advanced GIS Methods Training: AHAH and Multi-Dimensional Indices
Dataset
Summary
Description:
This course presents the Access to Healthy Assets & Hazards (AHAH) dataset and the methods used to create them, multi-dimensional indices. Multi-dimensional indices are used to create many different data sets, including the Index of Multiple Deprivation. This course will explain the AHAH dataset, how and why it was created, and what it can be used for. You will also learn how to use the multi-dimensional indices method to create your own index, using AHAH as an example.
It is split into two parts, each with a video clip and a series of commands to work through:
* Part 1: Access to Healthy Assets & Hazards (AHAH)
* Part 2: Multi Dimensional Indices (MDI)
_You need some prior knowledge of R to get the most from this course. If you are new to R, we recommend you complete the Short Course on Using R as a GIS first. Use the search box above to find this course._
After completing the material, you will:
* Know what AHAH is and what it can be used for
* Be aware of how AHAH was created
* Understand some of its key strengths and weaknesses
* Know how to use Access to Healthy Assets & Hazards (AHAH) in RStudio
* Be able to recreate the AHAH MDI
* Understand why we need to transform some of the data
* Feel confident to add/remove domains from this index and understand the results
* Be able to create your own multi dimensional index
To access the course, click on Download next to the 'Part 1: AHAH - Workbook' or 'Part 2: MDI - Workbook' files below. It is recommended that you have the course material open in one window, and RStudio open in another window next to it, using either a big monitor, or two monitors. If you have any comments or feedback, please email us.
This course is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International licence.
Contact Point:
Documentation
Documentation:
Source URL: Office of National Statistics (ONS), NHS England, NHS Scotland, NHS
Wales, OpenStreetMap, Sentinel Satellite, Local Data Company (LDC), Department
of Environment, Food and Rural Affairs (DEFRA), DLUHC, OCSI, NISRA, Scottish
Government, GeoDS Attribution: 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.
Provenance
Author 1
Name Organisation:
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.
Origin
Name:
Geographic Data Service