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103-0251-00L 4 Credits MSC D-BAUG
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Computational Methods for Geospatial Analysis

Lecturers & Examiners: Prof. Dr. Konrad Schindler, Dr. Jemil Avers Butt, Prof. Dr. Benedikt Soja, Dr. Yanan Xin
VVZ CR n/a

Last Updated: 2026-02-05 16:02:07

Abstract

Introduction to mathematical and statistical tools for geospatial data analysis.

Objective

The goal is to familiarise students with the principles and tools of geospatial data analysis, and to enable them to apply those tools to practical tasks.

Content

The course introduces basic methods of geostatistics and geospatial data analysis. Topics include spatial correlation, auto-correlation and the variogram; surface interpolation (kernel-based, kriging, parametric surface models); spatially adaptive filtering (bilinear, guided filter); spatial stochastic processes and random fields; time series models and spatio-temporal analysis.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 90 minutes
Aids
None
Die Note setzt sich wie folgt zusammen: i) 90min schriftliche Prüfung und ii) obligatorisches Leistungselement in Form von Übungsaufgaben während des Semesters. Hinweis: Die Schlussnote setzt sich zu 70% aus der Prüfungsnote und zu 30% aus der Bewertung der Übungsaufgaben zusammen. Weder die Pruefung noch das obligatorische Leistungselement muessen für sich allein bestanden werden.

Course Components

Type Title Time & Place Hours
lecture with exercise Computational Methods for Geospatial Analysis
  • Wed 13:45-15:30 (HIL E 7)
  • Thu 09:45-11:30 (HIL E 8)
4 h weekly

Offered In