HCApr 4, 2015

WebVRGIS Based City Bigdata 3D Visualization and Analysis

arXiv:1504.01051v135 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of managing and visualizing overwhelming city big data for urban planners or researchers, but it is incremental as it applies existing WebVR and GIS methods to new data.

The paper presents the WebVRGIS platform for visualizing and analyzing multiple types of city big data, such as passenger volumes and social data, over a 3D globe for Shenzhen, enabling flexible navigation and access to diverse data sources.

This paper shows the WEBVRGIS platform overlying multiple types of data about Shenzhen over a 3d globe. The amount of information that can be visualized with this platform is overwhelming, and the GIS-based navigational scheme allows to have great flexibility to access the different available data sources. For example,visualising historical and forecasted passenger volume at stations could be very helpful when overlaid with other social data.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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