WebVRGIS Based City Bigdata 3D Visualization and Analysis
Xiaoming Li, Zhihan Lv, Baoyun Zhang, Weixi Wang, Shengzhong Feng,, Jinxing Hu
TL;DR
This paper presents a WebVRGIS platform for visualizing and analyzing large-scale city data in 3D, enabling flexible access to diverse information sources for urban planning and social analysis.
Contribution
It introduces a novel WebVRGIS system that integrates multiple city data types into an interactive 3D visualization platform for urban analysis.
Findings
Overlays multiple data types on a 3D globe for comprehensive city visualization.
Allows flexible navigation and data access through GIS-based schemes.
Supports visualization of historical and forecasted passenger data.
Abstract
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.
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Taxonomy
TopicsAdvanced Computing and Algorithms · Remote Sensing and Land Use · Simulation and Modeling Applications