Found 3 relevant results in 3.09s where lecturer="Andreas Jürg Papritz"

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401-6233-00L 2008W 1 Credits MSC D-MATH

In many research fields, spatially referenced data are collected. When analysing such data the focus is either on exploring their structure (dependence on explanatory variables, autocorrelation) and/or on spatial prediction. The course provides an introduction to geostatistical methods that are useful for such purposes.

447-6233-00L 2020W , 2023S , 2024W 1 Credits WBZ D-MATH

In many research fields, spatially referenced data are collected. When analysing such data the focus is either on exploring their structure (dependence on explanatory variables, autocorrelation) and/or on spatial prediction. The course provides an introduction to geostatistical methods that are useful for such purposes.

2020W
2023S
701-0104-00L 2006S , 2007S , 2008S , 2020S , 2021S 3 Credits BSC , MSC D-USYS , D-BAUG , D-MATH , D-INFK , D-ITET

In environmental sciences one often deals with spatial data. When analysing such data the focus is either on exploring their structure (dependence on explanatory variables, autocorrelation) and/or on spatial prediction. The course provides an introduction to geostatistical methods that are useful for such analyses.

2006S
2007S
2008S
2020S