Generalized Linear Spatial Models to Predict Slate Exploitability

The aim of this research was to determine the variables that characterize slate exploitability and to model spatial distribution. A generalized linear spatial model (GLSMs) was fitted in order to explore relationship between exploitability and different explanatory variables that characterize slate...

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Bibliographic Details
Main Authors: Angeles Saavedra, Javier Taboada, María Araújo, Eduardo Giráldez
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/531062
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