Use of generalized regression tree models to characterize vegetation favoring Anopheles albimanus breeding.
J Am Mosq Control Assoc
; 13(1): 28-34, 1997 Mar.
Article
em En
| MEDLINE
| ID: mdl-9152872
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.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Anopheles
Tipo de estudo:
Prognostic_studies
Limite:
Animals
País/Região como assunto:
Mexico
Idioma:
En
Revista:
J Am Mosq Control Assoc
Assunto da revista:
MEDICINA TROPICAL
Ano de publicação:
1997
Tipo de documento:
Article
País de publicação:
Estados Unidos