Published April 2, 2019
| Version 1.0.0
Software
Open
A hierarchical Bayesian Beta regression approach to study the effects of geographic genetic structure and spatial autocorrelation on species distribution range shifts
Creators
- 1. Departament d'Estadística i Investigació Operativa, Universitat de València, Burjassot, Valencia 46100, Spain
- 2. Department of Ecology and Evolutionary Biology, University of Toronto, Toronto (Ontario), M5S 3B2, Canada
- 3. Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), 28049 Madrid, Spain
- 4. Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Sevilla 41092, Spain
- 5. CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
Description
This repository contains the data and code for the paper:
Martínez-Minaya J., Conesa D., Fortin M.J., Alonso-Blanco C., Picó, F.X. and Marcer A. (2019). A hierarchical Bayesian Beta regression approach to study the effects of geographic genetic structure and spatial autocorrelation on species distribution range shifts. Molecular Ecology Resources.
In order to use the data and code please read the README.pdf file.
Code and data are also available at https://github.com/arnaldmarcer/GenAthHBM