EcoGenetics: an R package for the management and exploratory analysis of spatial data in landscape genetics.
Roser, L. G., Ferreyra, L. I., Saidman, B. O. and Vilardi, J. C.
Universidad Nacional de San Martin. Instituto de Investigaciones Biotecnologicas (IIB-INTECH), Buenos Aires, Argentina.
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales, Departamento Ecologia, Genetica y Evolucion. Genetica de Poblaciones Aplicada (GPA), Buenos Aires, Argentina.
CONICET - Universidad de Buenos Aires. Instituto de Ecologia, Genetica y Evolucion (IEGEBA), Buenos Aires, Argentina.
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales, Departamento Ecologia, Genetica y Evolucion. Genetica de Especies Lenosas (GEEL), Buenos Aires, Argentina.
The integration of ecology and genetics has become established in recent decades, in hand with the development of new technologies, whose implementation is allowing an improvement of the tools used for data analysis. In a landscape genetics context, integrative management of population information from different sources can make spatial studies involving phenotypic, genotypic and environmental data simpler, more accessible and faster. Tools for exploratory analysis of autocorrelation can help to uncover the spatial genetic structure of populations and generate appropriate hypotheses in searching for possible causes and consequences of their spatial processes. This paper presents EcoGenetics, an R package with tools for multi-source management and exploratory analysis in landscape genetics. This article is protected by copyright. All rights reserved.
Molecular Ecology Resources : en prensa (2017)