moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models

By Théo Michelot, Roland Langrock, T. Patterson. 2016

383 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Small Animals

View Paper: https://www.semanticscholar.org/paper/87d6df876320e3abcfbeb69c06944bd4a04c34aa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. J. Signer
2. Tal Avgar
3. J. Fieberg
4. B. McClintock
5. Théo Michelot

In Genetics

1. B. McClintock
2. J. Fieberg
3. Théo Michelot

In Small Animals

1. J. Signer
2. Tal Avgar
3. J. Fieberg
4. B. McClintock
5. Théo Michelot

Citations in the corpus

• momentuHMM: R package for generalized hidden Markov models of animal movement (2017, methodology): “While statisticians have been applying HMMs to telemetry data for decades, R (R Core Team 2017) packages such as bsam (Jonsen et al. 2005), moveHMM (Michelot et al. 2016), and swim (Whoriskey et al. 2017) have recently helped make these models of animal movement behavior more accessible to the…”
• Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses (2018, background): “Although a large number of R packages have been developed for analyzing animal movement data (e.g., Calabrese et al. , 2016; Gurarie et al. , 2009; Michelot et al. , 2016) these packages often utilize domain-specific data formats and focus on a narrow subset of analytical methods (e.g., methods for…”