Last modified: 31 Jul 2023 11:19
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.
Study Type | Postgraduate | Level | 5 |
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Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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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.
Assessment Type | Summative | Weighting | 100 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
Knowledge Level | Thinking Skill | Outcome |
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Factual | Remember | ILO’s for this course are available in the course guide. |
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