NDLI: Using weights of evidence in the spatial relation between infected snails and geographic factors

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Using weights of evidence in the spatial relation between infected snails and geographic factors

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Using weights of evidence in the spatial relation between infected snails and geographic factors

Content Provider	Taylor & Francis Online
Author	Zhao, An Bao, Shuming Gong, Peng
Abstract	Schistosomiasis is a serious public health problem in the middle-lower Yangtze River Basin in China. Study of spatial variation of snail distribution that is related to microgeographic factors can help to choose pertinent measures for snail extinguishment and environment rebuilding. This paper studied the theoretical architecture of weights-of-evidence approach. The case study was made for spatial relation between the occurrence of infected snails and geographic factor combinations in Waijiazhou marshland of Poyang Lake region in China. The multievidence data came from the geographical factor combinations by crossing operation of vegetation coverage grade layer, cattle route distance grade layer, and special environment layer (181 combinations in total) in GIS. The calculation of weight contrast index shows that high vegetation coverage, cattle route distance of <45 meters, and special geographic factor “ground depression” had direct spatial relation with the occurrence of infected snails. The verification by crossing operation in GIS indicated 72.45% of the infected snails concentrated on the areas of positive weight contrast index (sequenced in an order of weight contrast index from high to low), demonstrating the high efficiency of the model established in finding infected snails according to the geographic factor combinations that can be explicitly discerned in the study area.
Starting Page	217
Ending Page	224
Page Count	8
File Format	PDF HTM / HTML
ISSN	10095020 19935153
DOI	10.1007/s11806-009-0079-2
Journal	Geo-spatial Information Science
Volume Number	12
Issue Number	3
Language	English
Publisher	Taylor & Francis Group
Publisher Date	2012-08-14
Access Restriction	Open
Subject Keyword	Weights of evidence Bayesian conditional probability Infected snail Poyang Lake region P28 R18
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computers in Earth Sciences

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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