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GIS-based Spatial Data Analysis
Geodatenanalyse mit GIS
Last Updated: 2026-02-05 15:24:01
Abstract
Introduction of basic methods for GIS-based spatial data analysis, including data management, control, and consistency checks as well as queries, classification, distance calculations, buffers, surface analysis, intersections, estimates, network analysis, filters, and treatment of fuzzy sets
Objective
- The treated GIS-based data analysis is understood in theory and can be handled in practice. - Common sources of errors in data analysis are to be detected, avoided and rectified respectively. - Deepening practical knowledge of GIS-software.
Content
Methods for GIS-based spatial data analysis are presented in theory. In practical exercises existing GIS-tools of the software ArcGIS 9.2 are used to exert the theory.
Resources
Lecture Notes
no script, copies of Powerpoint slides will be available
Literature
- BARTELME, N., 2000, Geoinformatik (3.Auflage), Graz. - BILL, R., 1999, Grundlagen der Geo-Informationssysteme, Bd.2, Analyse, Anwendungen und neue Entwicklungen (2.Auflage), Heidelberg und Rostock. - CHRISMAN, N., 1997, Exploring Geographic Information Systems. New York et al. - HEYWOOD, I., S. CORNELIUS und S. CARVER, 1998, An Introduction to Geographical Information Systems (=Prantice Hall Series in Geographic Information Systems) - P.A. LONGLEY, M.F. GOODCHILD, D.J. MAGUIRE, D.W. RHIND: Geographic Information Systems and Science, 2nd edition, Chichester, 2005.
General Information
- Language
- German
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Geodatenanalyse mit GIS |
|
2 h weekly |