Immersive visual analysis method for spatio-temporal data on the basis of multilayer association network

Abstract

The invention relates to the technical field of geographic space information systems, and discloses an immersive visual analysis method for spatio-temporal data on the basis of a multilayer association network. The invention has the concept that: firstly, abstracting and extracting an object node related to a task from a scene; then, analyzing and calculating an association relationship among nodes, and carrying out hierarchical division on the association relationship among multi-granularity spatio-temporal objects; according to a spatial topological relationship, a semantic association relationship layer and a multi-modal characteristic association relationship layer, constructing a multilayer association network, and carrying out collaborative visual processing on the constructed multilayer association network and a scene; and finally, through a human-computer interaction operation, realizing a final purpose that inferential reasoning and discovery ability of a human brain can be combined and a potential and complex association relationship is assisted in discovery. Therefore, the method is favorable for people to quickly discover a new knowledge rule, and the progress and the development of human scientific knowledge are accelerated.

Description

technical field [0001] The invention relates to the technical field of geospatial information systems, in particular to an immersive visual analysis method for spatio-temporal data based on a multi-layer association network. Background technique [0002] With the rapid development of information and communication technologies such as sensor networks, the Internet of Things, and the Internet, the spatiotemporal data describing and recording the ternary space of human society (human), information space (machine), and physical world (thing) has increased rapidly. The visual analysis method is only for a single space, such as the spatial analysis method for geographical phenomena in the physical world, the social computing analysis method for human social social relations and group behavior phenomena, and the mining analysis method for computer network data in information space. Analytical model construction is difficult to effectively deal with multi-modal spatio-temporal data ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the aforementioned prior art is difficult to effectively analyze the potential and complex correlations in the multimodal spatio-temporal big data of human-machine-object ternary space fusion, the present invention provides a spatio-temporal data immersive visual analytics

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