**Location**: *IfGI 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: http://archive.org/details/GeostatSpatio-temporalGeostatistics..

**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 C**opulas 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)

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