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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pérez, Sergio Iván, Diniz-Filho, J.A.F., Bernal, Valeria, González, Paula Natalia
Formato: Articulo Revision
Lenguaje:Inglés
Publicado: 2010
Materias:
Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/82564
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-82564
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
spellingShingle Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
Pérez, Sergio Iván
Diniz-Filho, J.A.F.
Bernal, Valeria
González, Paula Natalia
Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
topic_facet Antropología
Autocorrelation
Evolutionary anthropology
Morphometric techniques
Spatial statistical techniques
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.
format Articulo
Revision
author Pérez, Sergio Iván
Diniz-Filho, J.A.F.
Bernal, Valeria
González, Paula Natalia
author_facet Pérez, Sergio Iván
Diniz-Filho, J.A.F.
Bernal, Valeria
González, Paula Natalia
author_sort Pérez, Sergio Iván
title Spatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
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
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/82564
work_keys_str_mv AT perezsergioivan spatialregressiontechniquesforinterpopulationdatastudyingtherelationshipsbetweenmorphologicalandenvironmentalvariation
AT dinizfilhojaf spatialregressiontechniquesforinterpopulationdatastudyingtherelationshipsbetweenmorphologicalandenvironmentalvariation
AT bernalvaleria spatialregressiontechniquesforinterpopulationdatastudyingtherelationshipsbetweenmorphologicalandenvironmentalvariation
AT gonzalezpaulanatalia spatialregressiontechniquesforinterpopulationdatastudyingtherelationshipsbetweenmorphologicalandenvironmentalvariation
bdutipo_str Repositorios
_version_ 1764820488406695937

Ejemplares similares