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BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography
Authors:Franziska Schrodt  Jens Kattge  Hanhuai Shan  Farideh Fazayeli  Julia Joswig  Arindam Banerjee  Markus Reichstein  Gerhard Bönisch  Sandra Díaz  John Dickie  Andy Gillison  Anuj Karpatne  Sandra Lavorel  Paul Leadley  Christian B. Wirth  Ian J. Wright  S. Joseph Wright  Peter B. Reich
Affiliation:1. Max Planck Institute for Biogeochemistry, Jena, Germany;2. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, Leipzig, Germany;3. Department of Forest Resources, University of Minnesota, St Paul, MN, USA;4. Department of Computer Science and Engineering, University of Minnesota, Twin Cities, USA;5. Microsoft Corporation, One Microsoft Way, Redmond, WA, USA;6. Instituto Multidisciplinario de Biología Vegetal (IMBIV – CONICET) and Departamento de Diversidad Biológica y Ecología, FCEFyN, Universidad Nacional de Córdoba, Córdoba, Argentina;7. Royal Botanic Gardens Kew, Wakehurst Place, UK;8. Center for Biodiversity Management, Yungaburra, Queensland, Australia;9. Centre National de la Recherche Scientifique, Grenoble, France;10. Laboratoire ESE, Université Paris‐Sud, Orsay, France;11. University of Leipzig, Leipzig, Germany;12. Department of Biological Sciences, Macquarie University, NSW, Australia;13. Smithsonian Tropical Research Institute, Balboa, Republic of Panama;14. Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, NSW, Australia
Abstract:
Keywords:Bayesian hierarchical model  gap‐filling  imputation  machine learning  matrix factorization  PFT  plant functional trait  sparse matrix  spatial extrapolation  TRY
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