Abstract
Research on Improved Visualization Method of Space Time Cube
Highlights
With the development of computer network technology and data acquisition technology, the application of the Internet, geographic information system, social network and other fields has deepened, resulting in a phenomenon of mixed types of data
More than 80% of spatial temporal data is related to geographical location in the real world [2], and the spatial temporal data is rich in content
VISUAL METHODOLOGY In order to solve the above problems, we propose an improved space time cube visualization method
Summary
With the development of computer network technology and data acquisition technology, the application of the Internet, geographic information system, social network and other fields has deepened, resulting in a phenomenon of mixed types of data. The spatial temporal data visualization method is used to visualize the time and space dimensions and the related information object attributes, and to display the patterns and laws closely related to time and space, which can analyze the spatial temporal data well. The main purpose of spatial temporal data visualization is to be able to process data relationships in different periods and visualize the time dimension in a visual form, so that the trend of geographic goals is clear at a glance. Typical spatial temporal data visualization methods are flow map and space-time cube. Space-time cube visualize time, space and events in three dimensions Both of them have large-scale spatial temporal data items that cause line intensive and overlapping coverage problems, which is one of the main problems in the visualization of spatial temporal data in the big data environment.
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