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Spatial Econometric Methods in Agricultural Economics Using R
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Author : Paolo Postiglione
Title : Spatial Econometric Methods in Agricultural Economics Using R
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Description: Tools such as GIS and remote sensing are increasingly being used in monitoring agricultural resources. As a result, there is need for effective methods for the collection and analysis of agricultural data with particular reference to space. Since land is a key resource in agriculture, most of the data collected are of spatial nature or can be related to a map through geo-referencing techniques of the statistical units. It is now a common practice in many countries that the state statistical agency geo-references typical sampling frames of physical or administrative bodies used in agricultural surveys, not only according to the codes of a geographical nomenclature, but also adding information regarding the exact, or estimated, position of each record. This information is used in agricultural economics to develop advanced models in spatial econometrics. The developments in GIS technology offer growing opportunities to agricultural economists to deal with large and detailed spatial
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