Spatial autocorrelation of West Nile virus vector mosquito abundance in a seasonally wet suburban environment

被引：8

作者：

Trawinski, P. R. ^{[1
]}

Mackay, D. S. ^{[1
]}

机构：

[1] SUNY Buffalo, Dept Geog, Buffalo, NY 14261 USA

来源：

JOURNAL OF GEOGRAPHICAL SYSTEMS | 2009年 / 11卷 / 01期

关键词：

Geostatistics; Spatial autocorrelation; Classification and regression trees (CART); West Nile virus; Landscape epidemiology; Mosquito vectors; GEOGRAPHIC INFORMATION-SYSTEMS; REGRESSION TREES; UNITED-STATES; NEW-YORK; EPIDEMIOLOGY; CLASSIFICATION; GEOSTATISTICS; CULICIDAE; DIPTERA; CONNECTICUT;

D O I：

10.1007/s10109-008-0070-8

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

The objective of this study is to quantify and model spatial dependence in mosquito vector populations and develop predictions for unsampled locations using geostatistics. Mosquito control program trap sites are often located too far apart to detect spatial dependence but the results show that integration of spatial data over time for Cx. pipiens-restuans and according to meteorological conditions for Ae. vexans enables spatial analysis of sparse sample data. This study shows that mosquito abundance is spatially correlated and that spatial dependence differs between Cx. pipiens-restuans and Ae. vexans mosquitoes.

引用

页码：67 / 87

页数：21

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[1] Use of temporal patterns in vapor pressure deficit to explain spatial autocorrelation dynamics in tree transpiration [J].