Visualization investigation on the marine data with multivariate statistical analysis methods

• Autorzy: Li Y. , Lu Z. , Wang M.

Identyfikatory

DOI

10.1515/pomr-2017-0069

• Języki publikacji: EN

Abstrakty

EN

Marine information is an important way for us to know and study more about the ocean. Marine data makes the basic of marine information. Because of the huge quantity and diversity of marine data, and at the same time marine data is polyatomic variable, we start with statistical analysis methods to search for the regularity of the marine data. On one hand, we get the aggregate variation functions of the marine data by factor analyzing in aspect of the spatiality. Then we visually describe the marine status of the studied sea area with pre variogram function and post variogram function. On the other hand, we used cluster analysis method to get the verifying rule in time and make visible graphs of the marine data. In this way, we can also supply with the suggestions in classifying the sea seawater quality. The data processing result shows that the suggested methods in this article are both operable and effective. At the same time some reasonable suggestions are given in the article.

Słowa kluczowe

EN

marine data; factor analysis; cluster analysis; discriminate analysis; visualization

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: S 2
• Strony: 89--94
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Li Y.

• Beijing University of Posts and Telecommunications Beijing, 100876 China, tel.: [phone]

autor

Lu Z.

• Beijing University of Posts and Telecommunications, Beijing, China

autor

Wang M.

• Beijing University of Posts and Telecommunications, Beijing, China

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).