Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 67-87 |
| Number of pages | 21 |
| Journal | Journal of Geographical Systems |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2009 |
Keywords
- Classification and regression trees (CART)
- Geostatistics
- Landscape epidemiology
- Mosquito vectors
- Spatial autocorrelation
- West Nile virus
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