The aim of the work is to evaluate if the knowledge of farms geographical location used in a Geographically Weighted Regression model could produce accurate estimations of agricultural surface areas or productions in sub-regional domains.
An application of geographically weighted regression to agricultural data for small area estimates / Chiara Bocci; Alessandra Petrucci; Emilia Rocco. - STAMPA. - (2006), pp. 81-84. (Intervento presentato al convegno International Workshop on Spatio-Temporal Modelling (METMA3) tenutosi a Pamplona nel 27-29 settembre 2006).
An application of geographically weighted regression to agricultural data for small area estimates
Chiara Bocci;Alessandra Petrucci;Emilia Rocco
2006
Abstract
The aim of the work is to evaluate if the knowledge of farms geographical location used in a Geographically Weighted Regression model could produce accurate estimations of agricultural surface areas or productions in sub-regional domains.
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