Support vector machines for predicting distribution of Sudden Oak Death in California

Ecological Modelling

Volumn 182, Issue 1, 2005, Pages 75-90

  Guo, Qinghua ^a   Kelly, Maggi ^a   Graham, Catherine H ^b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c STONY BROOK UNIVERSITY   (United States)

Author keywords

Geographic information systems; Potential disease spread; Sudden Oak Death; Support vector machines

Indexed keywords

PLANT DISEASES; SUPPORT VECTOR MACHINES (SVM);

BIODIVERSITY; COASTAL ZONES; DISEASES; ECOLOGY; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS;

PLANTS (BOTANY);

DISEASE SPREAD; FUNGAL DISEASE; GIS; MODELING; PREDICTION; RISK ASSESSMENT;

BIODIVERSITY; COASTS; DISEASES; ECOLOGY; FORESTRY; GIS; MATHEMATICAL MODELS; QUERCUS;

CALIFORNIA; HUMBOLDT COUNTY [CALIFORNIA]; LOS ANGELES; NORTH AMERICA; SIERRA NEVADA [CALIFORNIA]; UNITED STATES; WESTERN HEMISPHERE; WORLD;

PHYTOPHTHORA; PHYTOPHTHORA RAMORUM; QUERCUS;

EID: 9644281091     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2004.07.012     Document Type: Article

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