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Space-time statistics for environmental and agricultural related phenomena |
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| Authors: | A Stein J W Van Groenigen M J Jeger M R Hoosbeek |
| Institution: | (1) Departments of Environmental Sciences and Plant Breeding, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands;(2) ITC International Institute for Aerospace Survey and Earth Sciences, Enschede, The Netherlands;(3) Crop Protection and Plant Breeding of the, Wageningen Agricultural University, PO Box 37, 6700 AA Wageningen, The Netherlands |
| Abstract: | This paper presents an overview of space-time statistical procedures to analyse agricultural and environmental related phenomena. It starts with an application on root-rot development in cotton. Dependence modelling in space and time is done with the space-time variogram. Various kriging interpolators are presented for making predictions in space and time. Simulated annealing is used to design an optimal monitoring network for estimation of space-time variograms. In the application no clear indication was found for anisotropy, although strong evidence exists that the disease not only proceeds within rows but also jumps between rows. The optimal sampling scheme showed a spatial clustering of observations at the first and the last monitoring day and less observations at intermediate times. |
| Keywords: | space-time variograms anisotropy space-time kriging root-rot optimal sampling simulated annealing |
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