Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2098
Title: Spazializzazione di dati climatici a livello nazionale tramite modelli regressivi localizzati
Authors: Blasi, Carlo
Chirici, Gherardo
Corona, Piermaria
Marchetti, Marco
Maselli, Fabio
Puletti, Nicola
Keywords: Climate;Meteorological data;Spatialization;Regressive models;Italy
Issue Date: 2007
Publisher: Società Italiana di Selvicoltura ed Ecologia Forestale
Source: Blasi, C. et al. 2007. Spazializzazione di dati climatici a livello nazionale tramite modelli regressivi localizzati. "Forest@" 4 (2): 213-219.
Abstract: 
The availability of spatialised climatic data is an essential pre-requisite for the implementation of GIS-based analysis in many application fields. Among the different methodologies for the spatialization of climatic data collected in weather-stations the most used are those based on geostatistical approaches, on parametric correlative models or on neural networks. Within the “Completamento delle Conoscenze Naturalistiche di Base” project, funded by the Italian Ministry for the Environment (Department of Nature Protection) a database of 403 weather-stations distributed across Italy with a time series of thirty years was collected. Data of mean monthly temperature (minimum and maximum) and rainfalls were spatialized by a local linear univariate regressive method based on elevation as independent variable. A total of 36 monthly maps with a geometric resolution of 250 m was generated. The present paper introduces the adopted methodology and the accuracy results estimated by leave-one-out cross validation.
Description: 
L'articolo è disponibile sul sito dell'editore www.sisef.it
URI: http://hdl.handle.net/2067/2098
ISSN: 1824-0119
DOI: 10.3832/efor0453-0040213
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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