Deterministic modelling of spatially distributed environmental variables and processes has its limitations. Stochastic and statistical approaches recognize the uncertainty with which we know the real world and as such they are extremely useful to the earth and environmental sciences. It is the advancement and application of these stochastic and statistical approaches, particularly when applied in the soil domain, that define my research interests.
Within this definition, and apart from a general interest in geostatistics, pedometrics and spatial accuracy assessment, the following topics are of particular interest: 1) Space-time monitoring and sampling, space-time kriging and space-time Kalman filtering; 2) Uncertainty propagation in spatial environmental modelling with GIS; 3) Accuracy assessment of soil information systems; 4) Merging process-driven and data-driven approaches in soil-landscape modelling; 5) Change of support (up- and downscaling) issues in environmental modelling; 6) Geostatistical approaches to digital soil mapping
These topics appear in many of the research projects in which I am involved, and I embed them in my teaching as well. In my part-time appointment at ISRIC World Soil Information I work on the same topics, with a focus on geostatistics for digital soil mapping.