BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and fu...
BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography
About this item
Full title
Author / Creator
Schrodt, Franziska , Kattge, Jens , Shan, Hanhuai , Fazayeli, Farideh , Joswig, Julia , Banerjee, Arindam , Reichstein, Markus , Bönisch, Gerhard , Díaz, Sandra , Dickie, John , Gillison, Andy , Karpatne, Anuj , Lavorel, Sandra , Leadley, Paul , Wirth, Christian B , Wright, Ian J , Wright, S. Joseph and Reich, Peter B
Publisher
Oxford: Blackwell Science
Journal title
Language
English
Formats
Publication information
Publisher
Oxford: Blackwell Science
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Scope and Contents
Contents
AIM: Functional traits of organisms are key to understanding and predicting biodiversity and ecological change, which motivates continuous collection of traits and their integration into global databases. Such trait matrices are inherently sparse, severely limiting their usefulness for further analyses. On the other hand, traits are characterized b...
Alternative Titles
Full title
BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_1753434214
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1753434214
Other Identifiers
ISSN
1466-822X
E-ISSN
1466-8238
DOI
10.1111/geb.12335
