Agent-based models for collective animal movement: proximity-induced state switching

DOI10.1007/s13253-021-00456-0OpenAlexW3191903178MaRDI QIDQ2084446

Frank T. van Manen, Andrew Hoegh, Mark A. Haroldson

Publication date: 18 October 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-021-00456-0

zbMATH Keywords

Bayesian statisticsMCMCparticle-MCMC

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• ggplot2
• Julia
• ggmap
• ggforce
• anipaths

Cites Work

• Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions
• Hierarchical nonlinear spatio-temporal agent-based models for collective animal movement
• A comparison of inferential methods for highly nonlinear state space models in ecology and epidemiology
• Directional data analysis under the general projected normal distribution
• ggplot2
• Julia: A Fresh Approach to Numerical Computing
• Particle Markov Chain Monte Carlo Methods
• Accounting for phenology in the analysis of animal movement
• Statistical Agent-Based Models for Discrete Spatio-Temporal Systems

This page was built for publication: Agent-based models for collective animal movement: proximity-induced state switching