A random forest approach for predicting the presence of Echinococcus multilocularis intermediate host Ochotona spp. presence in relation to landscape characteristics in western China

Applied Geography

Volumn 55, Issue , 2014, Pages 176-183

  Marston, Christopher G ^a   Danson, F Mark ^b   Armitage, Richard P ^b   Giraudoux, Patrick ^c   Pleydell, David R J ^d   Wang, Qian ^e   Qui, Jiamin ^e   Craig, Philip S ^b  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF SALFORD   (United Kingdom)

^c université Bourgogne Franche Comté   (France)

^d UMR ASTRE   (France)

^e Sichuan Center for Disease Control and Prevention   (China)

Author keywords

Classification; Echinococcus multilocularis; Landscape metrics; Ochotona; Random forests; Remote sensing

Indexed keywords

DIGITAL ELEVATION MODEL; FLATWORM; INTERMEDIATE HOST; LAND CLASSIFICATION; LAND COVER; LANDSAT THEMATIC MAPPER; LANDSCAPE; MODELING; PARASITE; REMOTE SENSING; SATELLITE IMAGERY; SMALL MAMMAL;

CHINA; SICHUAN;

ECHINOCOCCUS MULTILOCULARIS; OCHOTONA;

EID: 84907694672     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2014.09.001     Document Type: Article

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