Last modified: 31 Jul 2023 11:36
This course aims at progressing knowledge of spatial analysis tools in GIS. A variety of Map algebra techniques will be applied to solve complex GIS projects. Part one is focussed on solving a relatively simple spatial analysis exercise on climate. Part two focuses on automation in GIS and large spatial data analyses using Python. Part three is a multiple practical exercise that trains students to use best practices and advanced spatial analysis techniques to resolve a complex GIS problem simulating a real-life work assignment.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
Students conduct a number of projects where they learn how to source, manipulate and analyse spatial data in order to solve specific problems utilising GIS advanced skills, specifically in spatial analysis.
Information on contact teaching time is available from the course guide.
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Factual||Remember||ILO’s for this course are available in the course guide.|