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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Assuntina Cembalo & Rosaria Lombardo & Eric J. Beh & Gianpaolo Romano & Michele Ferrucci & Francesca M. Pisano, 2021. "Assessment of Climate Change in Italy by Variants of Ordered Correspondence Analysis," Stats, MDPI, vol. 4(1), pages 1-16, March.
    • Handle: RePEc:gam:jstats:v:4:y:2021:i:1:p:12-161:d:508098
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    References listed on IDEAS

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    1. Marielle Brunette & Robin Bourke & Marc Hanewinkel & Rasoul Yousefpour, 2018. "Adaptation to climate change in forestry: a multiple correspondence analysis (MCA)," Post-Print hal-02620990, HAL.
    2. Carl Eckart & Gale Young, 1936. "The approximation of one matrix by another of lower rank," Psychometrika, Springer;The Psychometric Society, vol. 1(3), pages 211-218, September.
    3. Buwen Dong & Rowan Sutton, 2015. "Dominant role of greenhouse-gas forcing in the recovery of Sahel rainfall," Nature Climate Change, Nature, vol. 5(8), pages 757-760, August.
    4. Dáithí Stone & Maximilian Auffhammer & Mark Carey & Gerrit Hansen & Christian Huggel & Wolfgang Cramer & David Lobell & Ulf Molau & Andrew Solow & Lourdes Tibig & Gary Yohe, 2013. "The challenge to detect and attribute effects of climate change on human and natural systems," Climatic Change, Springer, vol. 121(2), pages 381-395, November.
    5. Ali, Fazilatulaili & Dissanayake, Dilum & Bell, Margaret & Farrow, Malcolm, 2018. "Investigating car users' attitudes to climate change using multiple correspondence analysis," Journal of Transport Geography, Elsevier, vol. 72(C), pages 237-247.
    6. Rayner, J. C. W. & Best, D. J., 1996. "Smooth extensions of Pearsons's product moment correlation and Spearman's rho," Statistics & Probability Letters, Elsevier, vol. 30(2), pages 171-177, October.
    7. Gerrit Hansen & Dáithí Stone, 2016. "Assessing the observed impact of anthropogenic climate change," Nature Climate Change, Nature, vol. 6(5), pages 532-537, May.
    8. Rosaria Lombardo & Jacqueline Meulman, 2010. "Multiple Correspondence Analysis via Polynomial Transformations of Ordered Categorical Variables," Journal of Classification, Springer;The Classification Society, vol. 27(2), pages 191-210, September.
    9. Cynthia Rosenzweig & David Karoly & Marta Vicarelli & Peter Neofotis & Qigang Wu & Gino Casassa & Annette Menzel & Terry L. Root & Nicole Estrella & Bernard Seguin & Piotr Tryjanowski & Chunzhen Liu &, 2008. "Attributing physical and biological impacts to anthropogenic climate change," Nature, Nature, vol. 453(7193), pages 353-357, May.
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