This paper deals with some methodological proposals for defining homogeneous territorial zones which may be useful for agricultural objectives and policies. Two main problems must be faced coping with this objective. The first is to find a suitable spatial unit which may reconcile the information coming from statistical and administrative archives that generally make use of diverse territorial units. The second is to find a suitable algorithm in order to perform spatial clustering on the basis of more than one variable. In this work we present a first application based on Upper Level Set scan statistic method (Patil and Taillie, 2004) in a bivariate context.

Building Agricultural Zoning System for the Province of Florenze / A. Giommi; A. Giusti; A. Petrucci. - STAMPA. - Edizioni Scientifiche Italiane. Roma.:(2008), pp. 309-312. (Intervento presentato al convegno First joint meeting of the Societè Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society tenutosi a Caserta nel 11-13 June 2008).

Building Agricultural Zoning System for the Province of Florenze

GIOMMI, ANDREA;GIUSTI, ANTONIO;PETRUCCI, ALESSANDRA
2008

Abstract

This paper deals with some methodological proposals for defining homogeneous territorial zones which may be useful for agricultural objectives and policies. Two main problems must be faced coping with this objective. The first is to find a suitable spatial unit which may reconcile the information coming from statistical and administrative archives that generally make use of diverse territorial units. The second is to find a suitable algorithm in order to perform spatial clustering on the basis of more than one variable. In this work we present a first application based on Upper Level Set scan statistic method (Patil and Taillie, 2004) in a bivariate context.
2008
First Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society
First joint meeting of the Societè Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society
Caserta
11-13 June 2008
A. Giommi; A. Giusti; A. Petrucci
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/344307
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