KEYWORDS: Visualization, Analytical research, Superposition, Data storage, Mathematical optimization, Statistical analysis, Spatial analysis, Data analysis, Multilayers, Chemical elements
A vector data overlay analysis algorithm based on spatial partitioning is proposed for the demand of efficient vector data overlay analysis service. By establishing GiST index and aggregation, it makes the storage of graphic data more centralized and reduces the number of queries in the query scanning process, and by splitting the polysemy surface, the external rectangle range of the whole surface can be reduced, which in turn reduces the number of calculations in the superposition analysis process, and cuts the complex single-meaning surface into a smaller and more concise form. The outer rectangles of the cut single-meaning surface can be used as index correlation conditions, which can compress a large number of invalid query ranges, thus improving the analysis efficiency when overlaying complex faceted graphics with thematic land resource data layers. The experimental results show that the query return time after the optimization of overlay analysis is reduced by nearly 70% compared with that before the optimization, which greatly improves the performance of overlay analysis.
At present, there are some problems in marine data, such as low utilization rate and poor visualization effect. Based on B/S development mode, open source 3D engine Cesium and WebGL and other computer related technologies, this paper designs and develops a visualization platform integrating marine observation data and marine environmental field data, effectively manage and use the marine data of the South China Sea, provide data and information products and services, make full use of visualization methods to display the South China Sea marine data, and provide strong support for economic development and scientific research in the South China Sea, real-time monitoring of the South China Sea marine environment, disaster warning, etc.
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