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

• Main Authors: Assuntina Cembalo, Rosaria Lombardo, Eric J. Beh, Gianpaolo Romano, Michele Ferrucci, Francesca M. Pisano
• Format: Article
• Language: English
• Published: MDPI AG 2021-03-01
• Series: Stats
• Subjects: climate change; temperature; correspondence analysis; orthogonal polynomials; linear classification
• Online Access: https://www.mdpi.com/2571-905X/4/1/12

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.