Mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional index

Abstract

The invention discloses a mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional indexes, and the method comprises the steps: mastering the data characteristics and data formats of spatio-temporal data, carrying out the organization and management of the spatio-temporal data according to an application scene, and carrying out the optimization of the visualization performance of the spatio-temporal data. According to the method, a KD-Tree and histogram fused KD-H technology is provided, query performance is optimized for non-aggregation query and aggregation query, after spatio-temporal data is organized and managed, a multi-dimensional index and a histogram are constructed, and after proper KD-Tree and histograms are constructed for different application scenes, the query performance is optimized. A public map geographic space visualization map is used as a base map, on a high-performance WebGL rendering framework based on big data visualization, the incremental visualization technology is used for optimizing the performance of large-scale spatio-temporal data visualization, visualization details are increased or updated through incremental visualization, visualization of a large-scale data set is completed step by step, and the visualization efficiency of the large-scale data set is improved. According to the method, the large-scale spatio-temporal data visualization performance is optimized, the loading time is shortened, and the user experience is enhanced.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a method and system for optimizing the visualization performance of massive spatiotemporal data based on multi-dimensional indexes. Background technique [0002] Spatiotemporal data is a kind of multi-dimensional data, including time dimension, space dimension and thematic attribute information. It records the spatial position and state of things at a certain point in time or within a certain period of time, and can reflect the qualitative change process of objects from one state to another. A state that correctly reflects past, present and future events, such as the migration of city locations, the changes in spatial locations of moving objects, etc. [0003] With the rapid development of big data visualization applications, more and more attention has been paid to the visualization of spatiotemporal data. In order to solve the problems of multi-dimensional and difficult analy...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of multi-dimensional spatio-temporal data, difficult analysis, and difficult visualization exploration. Based on the existing high-performance WebGL rendering framework for big data visualization, the spatio-temporal data is organized and managed based on the spatio-temporal index technology, and combined with augmented Quantitative visualization technology to optimize the performance of large-scale spatiotemporal data visualization

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