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.
Original language | English |
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Pages (from-to) | 399-410 |
Number of pages | 12 |
Journal | Environmental and ecological statistics |
Volume | 14 |
Issue number | 4 |
DOIs | |
Publication status | Published - Dec 2007 |
Keywords
- Anisotropy
- Markov random fields
- Multivariate count data
- Precision agriculture
- ADLIB-ART-2590
- EOS