Assessment of Climate Change in Italy by Variants of Ordered Correspondence Analysis

Assuntina Cembalo, Rosaria Lombardo, Eric J. Beh, Gianpaolo Romano, Michele Ferrucci and Francesca M. Pisano
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Assuntina Cembalo: Italian Aerospace Research Center (CIRA), 81043 Capua, CE, Italy
Rosaria Lombardo: Department of Economics, University of Campania “L. Vanvitelli”, 81043 Capua, CE, Italy
Eric J. Beh: School of Mathematical and Physical Sciences (Statistics), University of Newcastle, Callaghan, NSW 2308, Australia
Gianpaolo Romano: Italian Aerospace Research Center (CIRA), 81043 Capua, CE, Italy
Michele Ferrucci: Italian Aerospace Research Center (CIRA), 81043 Capua, CE, Italy
Francesca M. Pisano: Italian Aerospace Research Center (CIRA), 81043 Capua, CE, Italy

Stats, 2021, vol. 4, issue 1, 1-16

Abstract: This paper explores climate changes in Italy over the last 30 years. The data come from the European observation gridded dataset and are concerned with the temperature throughout the country. We focus our attention on two Italian regions (Lombardy in northern Italy and Campania in southern Italy) and on two particular years roughly thirty years apart (1986 and 2015). Our primary aim is to assess the most important changes in temperature in Italy using some variants of correspondence analysis for ordered categorical variables. Such variants are based on a decomposition method using orthogonal polynomials instead of singular vectors and allow one to easily classify the meteorological station observations. A simulation study, based on bootstrap sampling, is undertaken to demonstrate the reliability of the results.

Keywords: climate change; temperature; correspondence analysis; orthogonal polynomials; linear classification (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2021
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