W. M. Getz

This paper introduces a method to decompose animal movement tracks into statistical movement elements (StaMEs) and uses them to simulate realistic movement paths at different spatio-temporal scales.

This study examines how lions and spotted hyenas coexist by analyzing their spatial and temporal interactions in different ecosystems.

This paper extends Conway's Game of Life to allow multiple states and introduces simulation tools to explore the behavior of these extended cellular automata.

The paper compares microbiomes from noninvasive fecal samples and trapped common cranes, finding that noninvasive sampling may more reliably represent host microbiota by avoiding trapping effects.

This paper introduces a relative-motion method to classify and compute movement modes of dyads using GPS data, validated with simulated and empirical data from African elephants.

This paper introduces a hierarchical framework for analyzing animal movement paths at different spatio-temporal scales and proposes a method to extract a simulation model from high-frequency data.

The paper introduces a simulator to study movement, disease, and social dynamics in nesting animal groups, using agent-based modeling to develop quantitative narratives for ecological understanding.

This paper proposes that disease dynamics and genetic introgression explain the long-lasting contact zone between Neanderthals and modern humans and its eventual destabilization.

This paper reviews how movement ecology can improve disease modeling by incorporating individual movement patterns into transmission dynamics and exposure risk analysis.

The paper introduces a cross-validation method to improve parameter selection for the T-LoCoH algorithm, leading to more objective and accurate home range estimates.