dc.creatorPérez, Sergio Iván
dc.creatorDiniz-Filho, J.A.F.
dc.creatorBernal, Valeria
dc.creatorGonzález, Paula Natalia
dc.date2010-11-28
dc.date2019-10-03T12:38:03Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/82564
dc.identifierissn:1010061X
dc.descriptionUnderstanding 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.
dc.descriptionÁrea Antropología
dc.formatapplication/pdf
dc.format237-248
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectAntropología
dc.subjectAutocorrelation
dc.subjectEvolutionary anthropology
dc.subjectMorphometric techniques
dc.subjectSpatial statistical techniques
dc.titleSpatial regression techniques for inter-population data: Studying the relationships between morphological and environmental variation
dc.typeArticulo
dc.typeRevision


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