Last modified: 23 Jul 2024 10:43
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 |
| Co-ordinators |
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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.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 70 | |
|---|---|---|---|---|
| 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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| Assessment Type | Summative | Weighting | 30 | |
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| 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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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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