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Evaluation Of Species Distribution Model Algorithms For Fine-Scale Container-Breeding Mosquito Risk Prediction, C. Khatchikian, Florencia Sangermano, D. Kendell, T. Livdahl
Evaluation Of Species Distribution Model Algorithms For Fine-Scale Container-Breeding Mosquito Risk Prediction, C. Khatchikian, Florencia Sangermano, D. Kendell, T. Livdahl
Geography
The present work evaluates the use of species distribution model (SDM) algorithms to classify high densities of small container-breeding Aedes mosquitoes (Diptera: Culicidae) on a fine scale in the Bermuda Islands. Weekly ovitrap data collected by the Department of Health, Bermuda for the years 2006 and 2007 were used for the models. The models evaluated included the algorithms Bioclim, Domain, GARP (genetic algorithm for rule-set prediction), logistic regression and MaxEnt (maximum entropy). Models were evaluated according to performance and robustness. The area under the receiver operating characteristic curve was used to evaluate each model's performance, and robustness was assessed according …