中华流行病学杂志
中華流行病學雜誌
중화류행병학잡지
CHINESE JOURNAL OF EPIDEMIOLOGY
2011年
4期
361-365
,共5页
何明祯%刘剑%依火伍力%李源培%郑会民%周艺彪%姜庆五
何明禎%劉劍%依火伍力%李源培%鄭會民%週藝彪%薑慶五
하명정%류검%의화오력%리원배%정회민%주예표%강경오
钉螺%空间分布%山区%地理信息系统
釘螺%空間分佈%山區%地理信息繫統
정라%공간분포%산구%지리신식계통
Oncomelania hupensis%Spatial distribution%Mountainous regions%Geographic information system
目的 分析山区钉螺分布的空间特征.方法 建立四川省普格县钉螺分布的地理信息系统(GIS),用空间自相关分析和空间扫描统计量法研究山区钉螺分布的空间特征.结果 普格县钉螺分布存在空间自相关,其有螺框出现率的全局Moran's I指数为0.095(P<0.05),局部空间自相关分析显示有28个钉螺孳生地的局部空间关联指数(LISA)值有统计学意义(P<0.05),这些环境又可细分为高-高、低-低、低-高和高-低四种空间关联模式.空间扫描统计量法共探测出24个钉螺孳生地聚集区,其中有14个高值聚集区,10个低值聚集区(P<0.05),与局部空间自相关的结果 较为吻合.结论 普格县山区钉螺分布存在空间自相关,钉螺孳生地在空间上呈一定的聚集性,同时存在空间分布的异质性,利用这一规律可以更好地控制钉螺.
目的 分析山區釘螺分佈的空間特徵.方法 建立四川省普格縣釘螺分佈的地理信息繫統(GIS),用空間自相關分析和空間掃描統計量法研究山區釘螺分佈的空間特徵.結果 普格縣釘螺分佈存在空間自相關,其有螺框齣現率的全跼Moran's I指數為0.095(P<0.05),跼部空間自相關分析顯示有28箇釘螺孳生地的跼部空間關聯指數(LISA)值有統計學意義(P<0.05),這些環境又可細分為高-高、低-低、低-高和高-低四種空間關聯模式.空間掃描統計量法共探測齣24箇釘螺孳生地聚集區,其中有14箇高值聚集區,10箇低值聚集區(P<0.05),與跼部空間自相關的結果 較為吻閤.結論 普格縣山區釘螺分佈存在空間自相關,釘螺孳生地在空間上呈一定的聚集性,同時存在空間分佈的異質性,利用這一規律可以更好地控製釘螺.
목적 분석산구정라분포적공간특정.방법 건립사천성보격현정라분포적지리신식계통(GIS),용공간자상관분석화공간소묘통계량법연구산구정라분포적공간특정.결과 보격현정라분포존재공간자상관,기유라광출현솔적전국Moran's I지수위0.095(P<0.05),국부공간자상관분석현시유28개정라자생지적국부공간관련지수(LISA)치유통계학의의(P<0.05),저사배경우가세분위고-고、저-저、저-고화고-저사충공간관련모식.공간소묘통계량법공탐측출24개정라자생지취집구,기중유14개고치취집구,10개저치취집구(P<0.05),여국부공간자상관적결과 교위문합.결론 보격현산구정라분포존재공간자상관,정라자생지재공간상정일정적취집성,동시존재공간분포적이질성,이용저일규률가이경호지공제정라.
Objective To analyze the spatial characteristic on the distribution of Oncomelania hupensis in mountainous regions.Methods Based on the geographic database of snail distribution in Puge county,Sichuan province,spatial autocorrelation analysis and spatial scan statistics were applied to analyze the spatial characteristic of snail distribution.Results With regard to the rate of frame with snails,the global Moran's I indicator was 0.095(P<0.05),which indicated the spatial autocorrelation of snail distribution in Puge county.Data from the local spalial autocorrelation analysis showed that there were 28 snail habitats with statistically significant differences on local indicators of spatial autocorrelation(LISA)value(P<0.05),among which existed high-high,low-low,low-high and high-low four types of correlation model.The Spatial Scan Statistics had in total identified 24 snail habitat clusters(P<0.05),including 14 high rate clusters and 10 low rate clusters,and the result was similar to that of LISA analysis.Conclusion There were spatial autocorrelation and spatial aggregation of snail distribution in mountainous regions,meanwhile spatial heterogeneity of snail distribution also existed.This law could be explored for beaer control of snails.