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http://dx.doi.org/10.5351/KJAS.2016.29.7.1445

Temperature network analysis of the Korean peninsula linking by DCCA methodology  

Min, Seungsik (Department of Natural Science, Korea Naval Academy)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.7, 2016 , pp. 1445-1458 More about this Journal
Abstract
This paper derives a correlation coefficient using detrended cross-correlation analysis (DCCA) method for 59 regional temperature series for 40 years from 1976 to 2015. The average temperature, maximum temperature, and minimum temperature series for 4 year units are analyzed; consequently, we estimated that a temperature correlation exists between the two regions during the unit period where the correlation coefficient is greater than or equal to 0.9; subsequently, we construct a network linking the two regions. Based on network theory, average path length, clustering coefficient, assortativity, and modularity were derived. As a result, it was found that the temperature network satisfies a small-worldness property and is a network having assortativity and modularity.
Keywords
temperature; detrended cross-correlation analysis (DCCA); temperature network; average path length; clustering coefficient; assortativity; modularity; small-worldness;
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Times Cited By KSCI : 6  (Citation Analysis)
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