This course is ideal for individuals who have completed the Introduction to R course or who have equivalent knowledge and prior experience in GIS/spatial analysis. If you want to advance your skills in spatial analysis using a free, open source software, then this course is for you. Participants who would benefit from this course include: socia...

R is a programming language and free software environment for statistical computing and graphics. It has become increasingly popular in the last decade in both academia and industry as a tool for computational statistics, visualisation and data science. Because it is open source software, it is free to use and its easy to view and learn from th...

This course is ideal for individuals who completed the Introduction to Geographic Information Science (GIS) Using ArcGIS course or have prior knowledge of ArcGIS and want to enhance their skill set with Network Analysis, a tool for solving complex routing problems. Participants who would benefit from this course include: social science research...

GIS is an information system that can capture, store, manipulate, analyse, manage and display all types of spatial or geographic data (e.g. census data, landscape attributes and more). This course focuses on the widely used GIS software application, ArcGIS, which has an easy-to-use interface and is very reliable in terms of support and document...