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1 September 2018 Correlation Analysis Method for Ocean Monitoring Big Data in a Cloud Environment
Junhui Song, Hua Xie, Yan Feng
Author Affiliations +
Abstract

Song, J.; Xie, H., and Feng, Y., 2018. Correlation analysis method for ocean monitoring big data in a cloud environment. In: Ashraf, M.A. and Chowdhury, A.J.K. (eds.), Coastal Ecosystem Responses to Human and Climatic Changes throughout Asia.

The current correlation analysis method for ocean monitoring big data is time consuming, and stability is poor. A new method is proposed to overcome these problems. The ocean monitoring big data were divided into eight categories and analyzed individually, and then ocean monitoring data model, data model, ocean coast big data model, and ocean monitoring data sets were analyzed and calculated according to the spatial correlation function to determine the ocean monitoring big data spatial correlation coefficient and collect spatial correlation of ocean monitoring big data characteristic elements. Experimental results showed that the proposed method improved the speed and stability of the correlation analysis of ocean monitoring big data, and advanced the classification accuracy of ocean monitoring data by about 30%.

©Coastal Education and Research Foundation, Inc. 2018
Junhui Song, Hua Xie, and Yan Feng "Correlation Analysis Method for Ocean Monitoring Big Data in a Cloud Environment," Journal of Coastal Research 82(sp1), 24-28, (1 September 2018). https://doi.org/10.2112/SI82-003.1
Received: 30 September 2017; Accepted: 31 December 2017; Published: 1 September 2018
KEYWORDS
Moran index
ocean-monitoring network
spatial correlation
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