Analyzing spatial count data, with an application to weed counts

Willem Kruijer*, Alfred Stein, Willem Schaafsma, Sanne Heijting

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

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 languageEnglish
Pages (from-to)399-410
Number of pages12
JournalEnvironmental and ecological statistics
Volume14
Issue number4
DOIs
Publication statusPublished - Dec 2007

Keywords

  • Anisotropy
  • Markov random fields
  • Multivariate count data
  • Precision agriculture
  • ADLIB-ART-2590
  • EOS

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