In model-based geostatistics, parametric statistical models and likelihood-based methods are used to solve geostatistical problems. An introduction to model-based geostatistics has been prepared and will be published in a book on spatial and computational statistics. We have furthermore written a paper on analysis of spatial data using the transformed Gaussian model where the methods are applied to interpolation of rainfall. Finally a package for the statistical programme R with procedures for inference in spatial generalized linear models has been developed. Cooperation with Peter Diggle and Paulo Ribeiro Jr., University of Lancaster, UK.
|Effective start/end date||01/01/2005 → 01/01/2005|
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