Home range estimation under a restricted sampling scheme

Cholaquidis, Alejandro - Fraiman, Ricardo - Hernandez, Manuel

Resumen:

The analysis of animal movement has gained attention recently, and new continuous-time models and statistical methods have been developed. All of them are based on the assumption that this movement can be recorded over a long period of time, which is sometimes infeasible, for instance when the battery life of the GPS is short. We prove that the estimation of its home range improves if periods when the GPS is on are alternated with periods when the GPS is turned off. This is illustrated through a simulation study, and real life data. We also provide estimators of the stationary distribution, level sets (which provides estimators of the core area) and the drift function.


Detalles Bibliográficos
2021
Agencia Nacional de Investigación e Innovación
Home-range
Ciencias Naturales y Exactas
Matemáticas
Estadística y Probabilidad
Inglés
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/3234
https://arxiv.org/abs/2106.02035
Acceso abierto
Reconocimiento 4.0 Internacional. (CC BY)
_version_ 1814959252619395072
author Cholaquidis, Alejandro
author2 Fraiman, Ricardo
Hernandez, Manuel
author2_role author
author
author_facet Cholaquidis, Alejandro
Fraiman, Ricardo
Hernandez, Manuel
author_role author
bitstream.checksum.fl_str_mv 3c9d86d36485746409b4281a0893d729
d7889a3b292b0f76c65fc4e5a07192f7
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3234/2/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3234/1/homrange.pdf
collection REDI
dc.creator.none.fl_str_mv Cholaquidis, Alejandro
Fraiman, Ricardo
Hernandez, Manuel
dc.date.accessioned.none.fl_str_mv 2023-05-29T18:58:40Z
dc.date.available.none.fl_str_mv 2023-05-29T18:58:40Z
dc.date.issued.none.fl_str_mv 2021-06
dc.description.abstract.none.fl_txt_mv The analysis of animal movement has gained attention recently, and new continuous-time models and statistical methods have been developed. All of them are based on the assumption that this movement can be recorded over a long period of time, which is sometimes infeasible, for instance when the battery life of the GPS is short. We prove that the estimation of its home range improves if periods when the GPS is on are alternated with periods when the GPS is turned off. This is illustrated through a simulation study, and real life data. We also provide estimators of the stationary distribution, level sets (which provides estimators of the core area) and the drift function.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
dc.identifier.anii.es.fl_str_mv FCE_1_2019_1_156054
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/3234
dc.identifier.url.none.fl_str_mv https://arxiv.org/abs/2106.02035
dc.language.iso.none.fl_str_mv eng
dc.relation.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/3233
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento 4.0 Internacional. (CC BY)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ciencias Naturales y Exactas
Matemáticas
Estadística y Probabilidad
dc.subject.es.fl_str_mv Home-range
dc.title.none.fl_str_mv Home range estimation under a restricted sampling scheme
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
description The analysis of animal movement has gained attention recently, and new continuous-time models and statistical methods have been developed. All of them are based on the assumption that this movement can be recorded over a long period of time, which is sometimes infeasible, for instance when the battery life of the GPS is short. We prove that the estimation of its home range improves if periods when the GPS is on are alternated with periods when the GPS is turned off. This is illustrated through a simulation study, and real life data. We also provide estimators of the stationary distribution, level sets (which provides estimators of the core area) and the drift function.
eu_rights_str_mv openAccess
format preprint
id REDI_3afe5c65893b3301bbafad5d66e6f7ec
identifier_str_mv FCE_1_2019_1_156054
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
language eng
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/3234
publishDate 2021
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento 4.0 Internacional. (CC BY)
Acceso abierto
spelling Reconocimiento 4.0 Internacional. (CC BY)Acceso abiertoinfo:eu-repo/semantics/openAccess2023-05-29T18:58:40Z2023-05-29T18:58:40Z2021-06https://hdl.handle.net/20.500.12381/3234FCE_1_2019_1_156054https://arxiv.org/abs/2106.02035The analysis of animal movement has gained attention recently, and new continuous-time models and statistical methods have been developed. All of them are based on the assumption that this movement can be recorded over a long period of time, which is sometimes infeasible, for instance when the battery life of the GPS is short. We prove that the estimation of its home range improves if periods when the GPS is on are alternated with periods when the GPS is turned off. This is illustrated through a simulation study, and real life data. We also provide estimators of the stationary distribution, level sets (which provides estimators of the core area) and the drift function.Agencia Nacional de Investigación e Innovaciónenghttps://hdl.handle.net/20.500.12381/3233Home-rangeCiencias Naturales y ExactasMatemáticasEstadística y ProbabilidadHome range estimation under a restricted sampling schemePreprintinfo:eu-repo/semantics/preprintUniversidad de la República. Facultad de Ciencias//Ciencias Naturales y Exactas/Matemáticas/Estadística y Probabilidadreponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónCholaquidis, AlejandroFraiman, RicardoHernandez, ManuelLICENSElicense.txtlicense.txttext/plain; charset=utf-84944https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3234/2/license.txt3c9d86d36485746409b4281a0893d729MD52ORIGINALhomrange.pdfhomrange.pdfapplication/pdf3849477https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3234/1/homrange.pdfd7889a3b292b0f76c65fc4e5a07192f7MD5120.500.12381/32342023-05-29 15:59:27.154oai:redi.anii.org.uy:20.500.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://www.anii.org.uy/https://redi.anii.org.uy/oai/requestjmaldini@anii.org.uyUruguayopendoar:94212023-05-29T18:59:27REDI - Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle Home range estimation under a restricted sampling scheme
Cholaquidis, Alejandro
Home-range
Ciencias Naturales y Exactas
Matemáticas
Estadística y Probabilidad
title Home range estimation under a restricted sampling scheme
title_full Home range estimation under a restricted sampling scheme
title_fullStr Home range estimation under a restricted sampling scheme
title_full_unstemmed Home range estimation under a restricted sampling scheme
title_short Home range estimation under a restricted sampling scheme
title_sort Home range estimation under a restricted sampling scheme
topic Home-range
Ciencias Naturales y Exactas
Matemáticas
Estadística y Probabilidad
url https://hdl.handle.net/20.500.12381/3234
https://arxiv.org/abs/2106.02035