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Analyzing spatial count data,with an application to weed counts |
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| Authors: | Willem Kruijer Alfred Stein Willem Schaafsma Sanne Heijting |
| Institution: | (1) Department of Mathematics, Vrije Universiteit Amsterdam, Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands;(2) International Institute for Geo-Information Science and Earth Observation, P.O. Box 6, 7500 AA Enschede, The Netherlands;(3) Department of Mathematics, Rijksuniversiteit Groningen, P.O. Box 800, 9700 AV Groningen, The Netherlands;(4) Department of Crop and Weed Ecology, Wageningen University, P.O. Box 430, 6700 AK Wageningen, The Netherlands |
| Abstract: | Count data on a lattice may arise in observational studies of ecological phenomena. In this paper a hierarchical spatial model is used to analyze weed counts. Anisotropy is introduced, and a bivariate extension of the model is presented. |
| Keywords: | Markov random fields Anisotropy Multivariate count data Precision agriculture |
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