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Recurrence Based Similarity Identification of Climate Data
Joint Authors
Deshpande, Parag S.
Bai, Anita
Hira, Swati
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-19
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Climate change has become a challenging and emerging research problem in many research related areas.
One of the key parameters in analyzing climate change is to analyze temperature variations in different regions.
The temperature variation in a region is periodic within the interval.
Temperature variations, though periodic in nature, may vary from one region to another and such variations are mainly dependent on the location and altitude of the region and also on other factors like the nearness of sea and vegetation.
In this paper, we analyze such periodic variations using recurrence plot (RP), cross recurrence plot (CRP), recurrence rate (RR), and correlation of probability of recurrence (CPR) methods to find similarities of periodic variations between and within climatic regions and to identify their connectivity trend.
First, we test the correctness of our method by applying it on voice and heart rate data and then experimentation is performed on synthetic climate data of nine regions in the United States and eight regions in China.
Finally, the accuracy of our approach is validated on both real and synthetic datasets and demonstrated using ANOVA, Kruskal–Wallis, and z-statistics significance tests.
American Psychological Association (APA)
Bai, Anita& Hira, Swati& Deshpande, Parag S.. 2017. Recurrence Based Similarity Identification of Climate Data. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-21.
https://search.emarefa.net/detail/BIM-1151740
Modern Language Association (MLA)
Bai, Anita…[et al.]. Recurrence Based Similarity Identification of Climate Data. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-21.
https://search.emarefa.net/detail/BIM-1151740
American Medical Association (AMA)
Bai, Anita& Hira, Swati& Deshpande, Parag S.. Recurrence Based Similarity Identification of Climate Data. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-21.
https://search.emarefa.net/detail/BIM-1151740
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151740