Model Selection for Geostatistical Models

We consider the problem of model selection for geospatial data. Spatial correlation is often ignored in the selection of explanatory variables, and this can influence model selection results. For example, the importance of particular explanatory variables may not be apparent when spatial correlation...

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Veröffentlicht in:	Ecological applications 2006-02, Vol.16 (1), p.87-98
Hauptverfasser:	Hoeting, Jennifer A., Davis, Richard A., Merton, Andrew A., Thompson, Sandra E.
Format:	Artikel
Sprache:	eng
Schlagworte:	60 APPLIED LIFE SCIENCES AIC Animals Autocorrelation Computer Simulation COMPUTERIZED SIMULATION Correlations Datasets Ecological modeling ECOLOGY Geography geospatial data Invited Feature: Contemporary Statistics and Ecology kriging Lacertilia LIZARDS Matern autocorrelation function Mathematical functions Mathematical independent variables MDL Modeling Models, Biological Models, Statistical orange-throated whiptail lizard abundance Parametric models POPULATION DYNAMICS SAMPLING Simulations SPATIAL DISTRIBUTION Spatial models Statistics as Topic - methods
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