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GEOSTAT tutorials

GEOSTAT software

Software iconList of FOSS software used in this course and installation instructions. Follow these instructions to prepare and customize the software before the beginning of the course.

Literature used

ASDAR bookList of books / lecture notes used in this course. See also: CRAN Task View: Analysis of Spatial Data.


« February 2017 »

Spatio-Temporal Geostatistics

LocationIfGI CIP pool

Objective: to gain insight in a set of spatio-temporal interpolation methods
General description: Modelling spatio-temporal phenomena is a key issue in today's research. However, the extension from pure spatial to a spatio-temporal approach is not trivial. We will look into a set of different perceptions of saptio-temporal dependence and the resulting covariance models (separable, product-sum, metric, asymmetric, ...).
Required back-ground knowledge: Students should be familiar with the basic concepts of kriging.
R packages required: spacetime, gstat, (outlook: spcopula);
Reading material: Gräler, B., L. E. Gerharz, & E. Pebesma (2012): Spatio-temporal analysis and interpolation of PM10 measurements in Europe. ETC/ACM Technical Paper 2011/10, January 2012


The morning session is now available at:


 9:00–10:30 Introduction to different concepts of spatio-temporal dependence separable, product-sum and metric covariance models in theory and gstat.

10:30–11:00 Coffee break 

11:00–12:30 Copulas in geostatistics.

12:30–14:00 Lunch break 

14:00–15:30 Exercise 1: fit and model a separable covariance model to some spatio-temporal phenomenon (redoing the examples from the slides)

15:30–16:00 Coffee break

16:00–17:30 Exercise 2: fit and model a product-sum/metric covariance model to some spatio-temporal phenomenon (redoing the examples from the slides)

part01.pdf411.11 KB
part02.pdf4.05 MB
notes.R1.01 KB
Graeler-Modelling_Dependence_in_Space_and_Time.pdf742.02 KB
ex_spatio-temporal.zip147.43 KB
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