Use of generalized regression tree models to characterize vegetation favoring Anopheles albimanus breeding

J. E. Hernandez*, L. D. Epstein, M. H. Rodriguez, A. D. Rodriguez, E. Rejmankova, D. R. Roberts

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We propose the use of generalized tree models (GTMs) to analyze data from entomological field studies. Generalized tree models can be used to characterize environments with different mosquito breeding capacity. A GTM simultaneously analyzes a set of predictor variables (e.g., vegetation coverage) in relation to a response variable (e.g., counts of Anopheles albimanus larvae), and how it varies with respect to a set of criterion variables (e.g., presence of predators). The algorithm produces a treelike graphical display with its root at the top and 2 branches stemming down from each node. At each node, conditions on the value of predictors partition the observations into subgroups (environments) in which the relation between response and criterion variables is most homogeneous.

Original languageEnglish
Pages (from-to)28-34
Number of pages7
JournalJournal of the American Mosquito Control Association
Volume13
Issue number1
StatePublished - Mar 1997
Externally publishedYes

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