【摘要】 随着海洋观测技术和数值仿真技术的发展,人们能获取到规模更大、分辨率更高的海洋数据,这为复杂多元海洋环境要素及结构现象的分析带来了机遇,同时也给传统的分析方法带来了挑战。因此,将大数据可视分析方法引入了海洋数据分析,并探索了其在多元海洋时空数据分析、海洋重要结构的时空特征和演化分析等方面的应用价值,开发了多个可视分析系统,并通过全球和我国周边一些海域数据分析的案例研究,提出了海洋数据可视分析的基本框架,展示了可视分析是大数据时代海洋复杂数据分析方面一种很有前途的技术。更多还原

【Abstract】 With the development of ocean observation technology and numerical simulation technology,larger scale and higher resolution ocean data can be obtained,which brings opportunities for the analysis of complex ocean environmental elements and structures,and also brings great challenges to traditional analysis methods.For this reason,the method of big data visual analysis was introduced and its application value in the analysis of multivariate ocean spatiotemporal data,the spatiotemporal characteristics and evolution analysis of important ocean structures was explored.Some visual analysis systems were developed and the basic framework of visual analysis of ocean data through case studies of data analysis of some sea areas around the world and China was summarized,showing that visual analysis is a promising technology for ocean complex data analysis in the era of big data.更多还原