VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

103-0255-AAL 2 Credits MSC D-BAUG
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Geodata Analysis

Lecturers & Examiners: Prof. Dr. Werner Kuhn
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
VVZ CR n/a

Last Updated: 2026-02-05 15:47:35

Abstract

The course deals with advanced methods in spatial data analysis.

Objective

- Understanding the theoretical principles in spatial data analysis. - Understanding and using methods for spatial data analysis. - Detecting common sources of errors in spatial data analysis. - Advanced practical knowledge in using appropriate GIS-tools.

Content

The course deals with advanced methods in spatial data analysis in theory as well as in practical exercises.

Resources

Literature

MITCHELL, A., 2012, The Esri Guide to GIS Analysis - Modeling Suitability, Movement, and Interaction (3. Auflage), ESRI Press, Redlands, California

General Information

Language
English
Levels
MSC
Frequency
Semesterly recurring

Examination

Type
session examination
Mode
oral 30 minutes

Course Components

Type Title Time & Place Hours
revision course / private study Geodata Analysis
Self-study course. No presence required.
No time listed 60 h semesterly

Offered In