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momentuHMM: R package for generalized hidden Markov models of animal movement
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2018
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Source: Methods in Ecology and Evolution, 9(6), 1518-1530
[PDF-4.52 MB]
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Journal Title:Methods in Ecology and Evolution
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Description:1. Discrete-time hidden Markov models (HMMs) have become an immensely popu- lar tool for inferring latent animal behaviours from telemetry data. While move - ment HMMs typically rely solely on location data (e.g. step length and turning angle), auxiliary biotelemetry and environmental data are powerful and readily-available resources for incorporating much more ecological and behavioural real - ism. However, complex movement or observation process models often necessitate custom and computationally demanding HMM model-fitting tech - niques that are impractical for most practitioners, and there is a paucity of gener - alized user-friendly software available for implementing multivariate HMMs of animal movement.
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Source:Methods in Ecology and Evolution, 9(6), 1518-1530
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ISSN:2041-210X;2041-210X;
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Rights Information:Other
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