VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
GIS-based Spatial Data Analysis
Geodatenanalyse mit GIS
Last Updated: 2026-02-05 15:05:59
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
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
Content
Methods for GIS-based spatial data analysis are presented independently of availabale software products. The use and combination of existing GIS-tools is shown in practical exercises. The used tools will be: ArcView 3.3, ArcGIS 8.3, ERDAS Imagine 8.6 und Geomedia 5.1. The presented methods will include 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. Each method will be first explained theoretically, then shown in a demo, and then practically used in exercises.
Resources
Lecture Notes
no script, copy 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) - GOODCHILD, M.F., P.A. LONGLEY, D.J. MAGUIRE und D.W. RHIND (Hrsg.), 1999, Geographical Information Systems. New York et al.
General Information
- Language
- German
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 60 minutes
- Aids
- Keine Hilfsmittel.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Geodatenanalyse mit GIS |
|
2 h weekly |