A General Hidden State Random Walk Model for Animal Movement

In this paper, we propose a general hidden state random walk model to describe the movement of an animal that takes into account movement taxis with respect to features of the environment. A circular-linear process models the direction and distance between two consecutive localizations of the animal...

Full description

Bibliographic Details
Main Authors: Nicosia, Aurélien, Duchesne, Thierry, Rivest, Louis-Paul, Fortin, Daniel
Format: Text
Language:unknown
Published: arXiv 2015
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.1507.08653
https://arxiv.org/abs/1507.08653
id ftdatacite:10.48550/arxiv.1507.08653
record_format openpolar
spelling ftdatacite:10.48550/arxiv.1507.08653 2023-05-15T15:53:30+02:00 A General Hidden State Random Walk Model for Animal Movement Nicosia, Aurélien Duchesne, Thierry Rivest, Louis-Paul Fortin, Daniel 2015 https://dx.doi.org/10.48550/arxiv.1507.08653 https://arxiv.org/abs/1507.08653 unknown arXiv https://dx.doi.org/10.1016/j.csda.2016.07.009 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Methodology stat.ME FOS Computer and information sciences article-journal Article ScholarlyArticle Text 2015 ftdatacite https://doi.org/10.48550/arxiv.1507.08653 https://doi.org/10.1016/j.csda.2016.07.009 2022-04-01T12:11:52Z In this paper, we propose a general hidden state random walk model to describe the movement of an animal that takes into account movement taxis with respect to features of the environment. A circular-linear process models the direction and distance between two consecutive localizations of the animal. A hidden process structure accounts for the animal's change in movement behavior. The originality of the proposed approach is that several environmental targets can be included in the directional model. An EM algorithm is devised to fit this model and an application to the analysis of the movement of caribou in Canada's boreal forest is presented : 28 pages Text caribou DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Methodology stat.ME
FOS Computer and information sciences
spellingShingle Methodology stat.ME
FOS Computer and information sciences
Nicosia, Aurélien
Duchesne, Thierry
Rivest, Louis-Paul
Fortin, Daniel
A General Hidden State Random Walk Model for Animal Movement
topic_facet Methodology stat.ME
FOS Computer and information sciences
description In this paper, we propose a general hidden state random walk model to describe the movement of an animal that takes into account movement taxis with respect to features of the environment. A circular-linear process models the direction and distance between two consecutive localizations of the animal. A hidden process structure accounts for the animal's change in movement behavior. The originality of the proposed approach is that several environmental targets can be included in the directional model. An EM algorithm is devised to fit this model and an application to the analysis of the movement of caribou in Canada's boreal forest is presented : 28 pages
format Text
author Nicosia, Aurélien
Duchesne, Thierry
Rivest, Louis-Paul
Fortin, Daniel
author_facet Nicosia, Aurélien
Duchesne, Thierry
Rivest, Louis-Paul
Fortin, Daniel
author_sort Nicosia, Aurélien
title A General Hidden State Random Walk Model for Animal Movement
title_short A General Hidden State Random Walk Model for Animal Movement
title_full A General Hidden State Random Walk Model for Animal Movement
title_fullStr A General Hidden State Random Walk Model for Animal Movement
title_full_unstemmed A General Hidden State Random Walk Model for Animal Movement
title_sort general hidden state random walk model for animal movement
publisher arXiv
publishDate 2015
url https://dx.doi.org/10.48550/arxiv.1507.08653
https://arxiv.org/abs/1507.08653
genre caribou
genre_facet caribou
op_relation https://dx.doi.org/10.1016/j.csda.2016.07.009
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.1507.08653
https://doi.org/10.1016/j.csda.2016.07.009
_version_ 1766388605053304832