Last modified: 22 Jul 2026 13:41
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 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
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Students conduct a number of projects where they learned 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 | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Students are asked to demonstrate their learned Python skills to download and apply multiple advanced geospatial analysis tools to explore satellite data. |
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 70 | |
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| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Students are asked to analyse spatial data to resolve a site suitability problem. Students are asked to go through a number of methodological steps of increasing complexities but which reflect the work done in class and write a report describing their analysis and justifying their conclusions. |
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| 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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