We present a new prediction algorithm based on fuzzy transforms for forecasting problems in spatial analysis. Our algorithm allows to predict the spatial distribution of assigned parameters of the problem under exam. Here, we test our method by exploring the demographical balance data measured every month in the period 01/01/2003–31/10/2014 in the municipalities of “Cilento and Vallo di Diano” National Park located in the district of Salerno (Italy). We use this method for predicting the value of the parameters “birthrate” and “deathrate” in November 2014. We apply this process in all the municipalities in the area of study; moreover, we present a fuzzification process for establishing the thematic map of the errors calculated between the real data and the predicted data. The thematic maps are constructed in a GIS environment.

Fuzzy Transforms Prediction in Spatial Analysis and its Application for Demographic Balance Data in the Municipalities of the "Cilento and Vallo di Diano" National Park

di Martino ferdinando;sessa salvatore
2017

Abstract

We present a new prediction algorithm based on fuzzy transforms for forecasting problems in spatial analysis. Our algorithm allows to predict the spatial distribution of assigned parameters of the problem under exam. Here, we test our method by exploring the demographical balance data measured every month in the period 01/01/2003–31/10/2014 in the municipalities of “Cilento and Vallo di Diano” National Park located in the district of Salerno (Italy). We use this method for predicting the value of the parameters “birthrate” and “deathrate” in November 2014. We apply this process in all the municipalities in the area of study; moreover, we present a fuzzification process for establishing the thematic map of the errors calculated between the real data and the predicted data. The thematic maps are constructed in a GIS environment.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/692574
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