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...
Geodemographic classifications group neighbourhoods (or sometimes even indiviudal households) into types of similar characteristics based on a range of variables. They are a useful means on segmenting the population into distinctive groups in...
This tutorial is a part of the course taught by Dr. Dani Arribas-Bel at the University of Liverpool. The course and materials provide students with core competencies in Geographic Data Science (GDS), covering the following topics. * Advancing...
This is a quick overview of working with spatial data in R. You can complete it as either a stand alone course, or as a recap before moving on to more advanced work with spatial data in R. It is split into three sections, each with a short...
This course presents the Access to Healthy Assets...
This course presents the Internet User Classification (IUC) and Retail Centre Typologies (RCT) datasets from the CDRC and the methods used to create them, K-means clustering. K-means clustering is used to create many different data sets,...
This course explains what retail centres are, and different methods of constructing catchments for them, including fixed-ring buffers, drive time catchments and Huff model catchments. It is split into two parts, each with a video clip and a...
The Consumer Data Research Centre (CDRC) has developed an Application Programming Interface (API) that serves as a gateway to their open datasets. An API is a set of rules and protocols that allows different software applications to...