2015/03/30 by James C. Russell, Russell, James C., Ephraim M. Hanks +3
Environmental Science · Mathematics · #Ecology and Vegetation Dynamics Studies #Morphological variations and asymmetry #Animal Ecology and Behavior Studies
paper · pdf · doi:10.48550/arxiv.1503.08692
When analyzing animal movement, it is important to account for interactions\nbetween individuals. However, statistical models for incorporating interaction\nbehavior in movement models are limited. We propose an approach that models\ndependent movement by augmenting a dynamic marginal movement model with a\nspatial point process interaction function within a weighted distribution\nframework. The approach is flexible, as marginal movement behavior and\ninteraction behavior can be modeled independently. Inference for model\nparameters is complicated by intractable normalizing constants. We develop a\ndouble Metropolis-Hastings algorithm to perform Bayesian inference. We\nillustrate our approach through the analysis of movement tracks of guppies\n(Poecilia reticulata)\n