Introduction to Geostatistics
Einführung in die Geostatistik
6 LPWiSeENwird nicht mehr angeboten
Voraussetzungen
Empfohlen, im Wortlaut
Basic knowledge of R programming is essential.
Inhalte
Handling spatial data in R, visualizing spatial data, sampling and estimation, variogram analysis, spatial predictions and interpolations (e.g. Kriging methods), geostatistical simulation and introduction to machine learning.
Lernziele
This module provides an introduction to the theory and practice of statistics used in the analysis of data arising in the earth and environmental sciences. At the end of this module students have a good knowledge of basic theory of geostatistics and are able to implement spatial data analysis using R.
Prüfungsleistung
• Homework (5 semester exercises) - each with 10 % weight • Written examination (60 minutes) - 50 % weight
Literatur (2)
- Bivand, R. S., Pebesma, E., Gómez-Rubio, V., 2013, Applied Spatial Data Analysis with R (Second Edition), Springer New York Heidelberg Dordrecht London.
- Webster, R, Oliver, M. A., 2007, Geostatistics for Environmental Scientists (Second Edition), John Wiley & Sons.
Bemerkungen
Complementary module for study programme Master Environmental and Resource Management.
Quelle: Modulbeschreibung der BTU · abgerufen 17.10.2026Original