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

期刊名称：Geo-spatial Information Science
时间：0
页码：217-224
语言：英文
分类：S718.55[农业科学—林学] P208[天文地球—地图制图学与地理信息工程;天文地球—测绘科学与技术]
作者机构：[1]School of Geography and Environmental Science, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, China, [2]Key Lab of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University and Ministry of Education, Nanchang 330022, China
相关基金：Supported by a the National Natural Science Fundation of China （No. 30590370）, the Research Project ＂Spatial Simulation of Schistosomiasis Susceptible Areas in the Poyang Lake Region＂ Sponsored by Science Research Plan 2007 of Jiangxi Normal University （Natural Science Category）.
相关项目：基于现代信息技术研究传染病时空传播与流行规律

关键词：地理因素, 钉螺分布, 空间关系, 感染性, 权重, 证据, 地理信息系统, 植被覆盖度, weights of evidence, Bayesian conditional probability, infected snail, Poyang Lake region

中文摘要：

血吸虫病是在在中国的中间降低的长江盆的一个严重公共健康问题。与微地理因素有关的蜗牛分发的空间变化的学习能帮助为重建的蜗牛消灭和环境选择恰当的措施。这篇论文学习了 weights-of-evidence 途径的理论建筑学。案例研究在中国在波伊昂·莱克区域的 Waijiazhou 沼泽地为在感染的蜗牛和地理因素联合的出现之间的空间关系被做。多，证据数据从地理因素联合来了在 GIS 穿过植被范围等级层，牛线路距离等级层，和特殊环境层(总共的 181 联合) 的操作。重量对比索引的计算证明高植被范围，【45 米的牛线路距离，和“地面消沉”有的特殊地理因素与感染的蜗牛的出现指导空间关系。由在 GIS 穿过操作的确认显示72.45%感染的蜗牛专注于积极重量对比索引的区域(从高度在重量对比索引的一份订单定序到低)，表明在发现建立的模型的高效率根据能明确地在学习区域被认出的地理因素联合感染了蜗牛。

英文摘要：

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 combina- tions 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.

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