sdm: a reproducible and extensible R platform for species distribution modelling
sdm is an object‐oriented, reproducible and extensible, platform for species distribution modelling. It uses individual species and community‐based approaches, enabling ensembles of models to be fitted and evaluated, to project species potential distributions in space and time. It provides a standar...
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| Published in: | Ecography (Copenhagen) Vol. 39; no. 4; pp. 368 - 375 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford, UK
Blackwell Publishing Ltd
01.04.2016
Nordic Society Oikos John Wiley & Sons, Inc |
| Subjects: | |
| ISSN: | 0906-7590, 1600-0587 |
| Online Access: | Get full text |
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| Summary: | sdm is an object‐oriented, reproducible and extensible, platform for species distribution modelling. It uses individual species and community‐based approaches, enabling ensembles of models to be fitted and evaluated, to project species potential distributions in space and time. It provides a standardized and unified structure for handling species distributions data and modelling techniques, and supports markedly different modelling approaches, including correlative, process‐based (mechanistic), agent‐based, and cellular automata. The object‐oriented design of software is such that scientists can modify existing methods, extend the framework by developing new methods or modelling procedures, and share them to be reproduced by other scientists. sdm can handle spatial and temporal data for single or multiple species and uses high performance computing solutions to speed up modelling and simulations. The framework is implemented in R, providing a flexible and easy‐to‐use GUI interface. |
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| Bibliography: | http://dx.doi.org/10.1111/ecog.01881 ArticleID:ECOG1881 ark:/67375/WNG-F3D51438-W istex:5DB42C95B5F8187DAA44D128B34735F72FE57591 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 0906-7590 1600-0587 |
| DOI: | 10.1111/ecog.01881 |