J Plant Ecol ›› 2008, Vol. 1 ›› Issue (2): 143-145 .DOI: 10.1093/jpe/rtn005
• Short Communication •
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GeoSVM: an efficient and effective tool to predict species' potential distributions
Wenyun Zuo1, Ni Lao2, Yuying Geng1 and Keping Ma1,*
- 1 State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; 2 School of Software, Tsinghua University, Beijing 100084, China
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Published:2008-05-28
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Contact:
Ma, Keping
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GeoSVM: an efficient and effective tool to predict species' potential distributions
