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
出版日期:2008-05-28
发布日期:2008-04-15
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
