-
Creating a Geodemographic Classification Using K-means Clustering in R Tutorial
Geodemographic classifications group neighbourhoods (or sometimes even indiviudal households) into types of similar characteristics based on a range of variables. They are a... -
Geographic Data Science in Python Tutorial
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... -
An Introduction to Spatial Data Analysis and Visualisation in R Tutorial
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... -
Short Course on Using R as a GIS Tutorial
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... -
Leveraging the CDRC API Tutorial
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... -
Advanced GIS Methods Training: Retail Centres and Catchment Areas Tutorial
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... -
Advanced GIS Methods Training: AHAH and Multi-Dimensional Indices Tutorial
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... -
Advanced GIS Methods Training: IUC and K-Means Clustering Tutorial
This course presents the Internet User Classification (IUC) and Retail Centre Typologies (RCT) datasets and the methods used to create them, K-means clustering. K-means...