VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
701-0104-00L
3
Credits
BSC
,
MSC
D-USYS
,
D-ERDW
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.
Statistical Modelling of Spatial Data
Statistische Modellierung von räumlichen Daten
Lecturers & Examiners:
Dr. Andreas Jürg Papritz
Last Updated: 2026-02-05 15:19:25
Abstract
In environmental sciences one often deals with spatial data (point patterns, grid data, spatially referenced and possibly aggregated survey data). When analysing such data the focus is mostly on exploring their structure (dependence on explanatory variables, autocorrelation) and/or on spatial prediction. The course provides an introduction to statistical methods that are useful for such purposes.
General Information
- Language
- German
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Statistische Modellierung von räumlichen Daten |
|
2 h weekly |
Offered In
-
-
-
Major in Climate and Water: Electives (Advisor of the BSc-major "Climate and Water" is Dr. M. Wüest, Institute for climate and atmosphere (IAC).)
-
Major Electives (From the elective courses of the 5th and 6th semester, 24 credits have to be acquired. Other courses have to be granted by the advisor, Dr. M. Wüest, IAC.)
-
-
-
-
-
-
-