Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation

Autores
Pérez, Sergio Iván; Diniz-Filho, J.A.F.; Bernal, Valeria; González, Paula Natalia
Año de publicación
2010
Idioma
inglés
Tipo de recurso
reseña artículo
Estado
versión publicada
Descripción
Understanding the importance of environmental dimensions behind the morphological variation among populations has long been a central goal of evolutionary biology. The main objective of this study was to review the spatial regression techniques employed to test the association between morphological and environmental variables. In addition, we show empirically how spatial regression techniques can be used to test the association of cranial form variation among worldwide human populations with a set of ecological variables, taking into account the spatial autocorrelation in data. We suggest that spatial autocorrelation must be studied to explore the spatial structure underlying morphological variation and incorporated in regression models to provide more accurate statistical estimates of the relationships between morphological and ecological variables. Finally, we discuss the statistical properties of these techniques and the underlying reasons for using the spatial approach in population studies.
Área Antropología
Materia
Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/82564
Acceder
id SEDICI_b197b08adda937cb97b6cba86622401a
oai_identifier_str oai:sedici.unlp.edu.ar:10915/82564
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variationPérez, Sergio IvánDiniz-Filho, J.A.F.Bernal, ValeriaGonzález, Paula NataliaAntropologíaAutocorrelationEvolutionary anthropologyMorphometric techniquesSpatial statistical techniquesUnderstanding the importance of environmental dimensions behind the morphological variation among populations has long been a central goal of evolutionary biology. The main objective of this study was to review the spatial regression techniques employed to test the association between morphological and environmental variables. In addition, we show empirically how spatial regression techniques can be used to test the association of cranial form variation among worldwide human populations with a set of ecological variables, taking into account the spatial autocorrelation in data. We suggest that spatial autocorrelation must be studied to explore the spatial structure underlying morphological variation and incorporated in regression models to provide more accurate statistical estimates of the relationships between morphological and ecological variables. Finally, we discuss the statistical properties of these techniques and the underlying reasons for using the spatial approach in population studies.Área Antropología2010-11-28info:eu-repo/semantics/reviewinfo:eu-repo/semantics/publishedVersionRevisionhttp://purl.org/coar/resource_type/c_dcae04bcinfo:ar-repo/semantics/resenaArticuloapplication/pdf237-248http://sedici.unlp.edu.ar/handle/10915/82564enginfo:eu-repo/semantics/altIdentifier/issn/1010061Xinfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1420-9101.2009.01905.xinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:15:31Zoai:sedici.unlp.edu.ar:10915/82564Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:15:31.428SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
title Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
spellingShingle Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
Pérez, Sergio Iván
Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
title_short Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
title_full Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
title_fullStr Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
title_full_unstemmed Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
title_sort Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
dc.creator.none.fl_str_mv Pérez, Sergio Iván
Diniz-Filho, J.A.F.
Bernal, Valeria
González, Paula Natalia
author Pérez, Sergio Iván
author_facet Pérez, Sergio Iván
Diniz-Filho, J.A.F.
Bernal, Valeria
González, Paula Natalia
author_role author
author2 Diniz-Filho, J.A.F.
Bernal, Valeria
González, Paula Natalia
author2_role author
author
author
dc.subject.none.fl_str_mv Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
topic Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
dc.description.none.fl_txt_mv Understanding the importance of environmental dimensions behind the morphological variation among populations has long been a central goal of evolutionary biology. The main objective of this study was to review the spatial regression techniques employed to test the association between morphological and environmental variables. In addition, we show empirically how spatial regression techniques can be used to test the association of cranial form variation among worldwide human populations with a set of ecological variables, taking into account the spatial autocorrelation in data. We suggest that spatial autocorrelation must be studied to explore the spatial structure underlying morphological variation and incorporated in regression models to provide more accurate statistical estimates of the relationships between morphological and ecological variables. Finally, we discuss the statistical properties of these techniques and the underlying reasons for using the spatial approach in population studies.
Área Antropología
description Understanding the importance of environmental dimensions behind the morphological variation among populations has long been a central goal of evolutionary biology. The main objective of this study was to review the spatial regression techniques employed to test the association between morphological and environmental variables. In addition, we show empirically how spatial regression techniques can be used to test the association of cranial form variation among worldwide human populations with a set of ecological variables, taking into account the spatial autocorrelation in data. We suggest that spatial autocorrelation must be studied to explore the spatial structure underlying morphological variation and incorporated in regression models to provide more accurate statistical estimates of the relationships between morphological and ecological variables. Finally, we discuss the statistical properties of these techniques and the underlying reasons for using the spatial approach in population studies.
publishDate 2010
dc.date.none.fl_str_mv 2010-11-28
dc.type.none.fl_str_mv info:eu-repo/semantics/review
info:eu-repo/semantics/publishedVersion
Revision
http://purl.org/coar/resource_type/c_dcae04bc
info:ar-repo/semantics/resenaArticulo
format review
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/82564
url http://sedici.unlp.edu.ar/handle/10915/82564
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1010061X
info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1420-9101.2009.01905.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
237-248
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616027095171072
score 13.070432

Publicaciones similares