Dynamic Models of Animal Movement with Spatial Point Process Interactions

James C. Russell, Ephraim M. Hanks, Murali Haran

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

When analyzing animal movement, it is important to account for interactions between individuals. However, statistical models for incorporating interaction behavior in movement models are limited. We propose an approach that models dependent movement by augmenting a dynamic marginal movement model with a spatial point process interaction function within a weighted distribution framework. The approach is flexible, as marginal movement behavior and interaction behavior can be modeled independently. Inference for model parameters is complicated by intractable normalizing constants. We develop a double Metropolis–Hastings algorithm to perform Bayesian inference. We illustrate our approach through the analysis of movement tracks of guppies (Poecilia reticulata).

Original languageEnglish (US)
Pages (from-to)22-40
Number of pages19
JournalJournal of Agricultural, Biological, and Environmental Statistics
Volume21
Issue number1
DOIs
StatePublished - Mar 1 2016

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Agricultural and Biological Sciences (miscellaneous)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Dynamic Models of Animal Movement with Spatial Point Process Interactions'. Together they form a unique fingerprint.

Cite this