Journal of Geographical Systems

, Volume 11, Issue 1, pp 67–87 | Cite as

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

Original Article


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.


Geostatistics Spatial autocorrelation Classification and regression trees (CART) West Nile virus Landscape epidemiology Mosquito vectors 

JEL Classification




The authors would like to thank Paula Thompson and Dave Muck from the Town of Amherst Highway Department, Mosquito Control Program, and Peter Tripi, Glenn Robert, and John Eiss of the Erie County Health Department, Vector Control Program, for providing the mosquito trapping data. We also thank Dr. Peter Rogerson, Dr. Ling Bian, and the anonymous reviewers for helpful comments.


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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Department of GeographyState University of New York at BuffaloBuffaloUSA

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