Agriculture is one of the most fragile Italian and Sicilian economic sectors, and more than others it is exposed to the fluctuations of the financial economic crisis. Therefore it needs boosting policies in order to maintain the sustainability of land, and to improve, by introducing innovation and efficiency, its capability to provide important investment options and relevant job opportunities.Cadastre has always been the most important data source for the fiscal property drain, but the recent recourse to GIS technology has exploited the civil use of its database. Land and agricultural policies can take advantage from the enlargement of this databank by integrating into it the information provided by the spatial computing function of GIS technologies.The study we have carried out proposes an analysis and appraisal model useful for the evaluation of the merit of each territorial unit (cadastral parcels of land), aiming to be admitted to the agricultural boost policy. The model integrates the economic calculation capability of the spreadsheet into the spatial calculation ability of GIS. It is applied to a large land context located in the southern part of the municipality of Piazza Armerina (EN) and it processes a great number of data that are transformed into single scores through a utility function. By aggregating the scores to form a single a-dimensional rate it is possible to compare and successively rank all the land parcels in many different ways, each one representing a particular concern.
L'agricoltura è uno dei più fragili settori economici in Italia e più degli altri è esposto alle fluttuazioni della crisi economico-finanziaria. Pertanto necessita di politiche di sostegno che gli consentano di conservare la sostenibilità dei territori e incrementare, introducendo innovazione ed efficienza, la sua capacità di generare importanti opportunità di investimento e significative opportunità di lavoro.Il Catasto ha da sempre avuto una prioritaria funzione fiscale in campo immobiliare, ma il recente imponente ricorso alleo tecnologie GIS ne ha esteso gli usi civili. le politiche territoriali e agricole possono avvantaggiarsi dell'ampliamento dei contenuti di queste banche dati integrando a suo interno l'informazione generata dalle potenzialità dell'analisi spaziale in delle funzioni di calcolo GIS.lo studio portato avanti propone un modello di analisi e valutazione utile nella valutazione del merito di finanziamento delle singole particelle catastali incluse nei programmi di sostegno previsti dalla PAC. il modello integra le capacità di elaborazione GIS e del foglio di calcolo. l'applicazione riguarda un'ampio contesto territoriale appartenente al comune di Piazza Armerina (EN) e processa un gran numero di dati trasformati in punteggi attraverso specifiche funzioni di utilità.Aggregando i punteggi in indici adimensionali, è possibile confrontare e successivamente ordinare le particelle in differenti modi ciascuno relativo ad uno specifico fine o ad una specifica strategia.
Cadastral civil uses and socio-economic recovery. A GIS based analysis-appraisal model to boost agricultural sustainability
GIUFFRIDA, Salvatore;
2013-01-01
Abstract
Agriculture is one of the most fragile Italian and Sicilian economic sectors, and more than others it is exposed to the fluctuations of the financial economic crisis. Therefore it needs boosting policies in order to maintain the sustainability of land, and to improve, by introducing innovation and efficiency, its capability to provide important investment options and relevant job opportunities.Cadastre has always been the most important data source for the fiscal property drain, but the recent recourse to GIS technology has exploited the civil use of its database. Land and agricultural policies can take advantage from the enlargement of this databank by integrating into it the information provided by the spatial computing function of GIS technologies.The study we have carried out proposes an analysis and appraisal model useful for the evaluation of the merit of each territorial unit (cadastral parcels of land), aiming to be admitted to the agricultural boost policy. The model integrates the economic calculation capability of the spreadsheet into the spatial calculation ability of GIS. It is applied to a large land context located in the southern part of the municipality of Piazza Armerina (EN) and it processes a great number of data that are transformed into single scores through a utility function. By aggregating the scores to form a single a-dimensional rate it is possible to compare and successively rank all the land parcels in many different ways, each one representing a particular concern.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
