Spatial regression techniques for inter-population data: studying the relationships between morphological and ecological variation.

PEREZ, SERGIO IVAN; DINIZ FILHO, JOSE ALEXANDER; BERNAL, VALERIA; GONZALEZ, PAULA N.

Journal of Evolutionary Biology

Blackwell

Año: 2010 vol. 23 p. 237 - 248

1010-061X

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 toprovide 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.