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Geospatial Data Management and Analysis
Last Updated: 2026-02-05 15:41:43
Abstract
Problems encountered in forest and landscape management often have a spatial dimension. Methods of geoinformation sciences provide support in identifying creative solutions. Students will learn to a) understand, search for, and manage different forms of geospatial data; b) conceptualize, implement, and combine spatial analysis methods; and c) interpret the results.
Objective
Understand, search for, and manage various types of geospatial data; Carry out conceptual data modelling for a spatial problem and translate it into a tangible form within a GIS software; Conceptualize spatial problems and design a workflow that transitions from "data processing" through "advanced spatial analysis" to "presentation of results"; Implement such a workflow in standard GIS software, verify and validate the procedures, then present the final results.
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Max Places
- 25
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Geospatial Data Management and Analysis |
|
4 h weekly |
Offered In
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Doctoral Department of Environmental Sciences (More Information at: )
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