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3D-4D visualisation of IoT data from Singapore’s National Science Experiment
Journal of Spatial Science ( IF 1.0 ) Pub Date : 2020-02-12 , DOI: 10.1080/14498596.2020.1726219
Francisco Benita 1 , Jan Perhac 2 , Bige Tunçer 1, 2 , Remo Burkhard 2 , Simon Schubiger 2
Affiliation  

ABSTRACT

This paper introduces Singapore Views as a novel 3D-4D interface to visualize large space-time datasets with applications in smart cities. The engine enables a combination of geographic information system, geo-located data with high-resolution 3D models and multimedia. Space-time datasets from Singapore’s National Science Experiment (NSE) 2016 are used to test the functionality of Singapore Views. The findings from the user study revealed the new visualization engine was helpful in extracting insights from space-time data. Finally, this study also contributes to the current discussion of how to visualize knowledge thereby support the planning of smart cities.



中文翻译:

来自新加坡国家科学实验的物联网数据的 3D-4D 可视化

摘要

本文将 Singapore Views 介绍为​​一种新颖的 3D-4D 界面,用于可视化大型时空数据集以及在智慧城市中的应用。该引擎可将地理信息系统、地理定位数据与高分辨率 3D 模型和多媒体相结合。新加坡国家科学实验 (NSE) 2016 的时空数据集用于测试新加坡景观的功能。用户研究的结果表明,新的可视化引擎有助于从时空数据中提取洞察力。最后,本研究还有助于当前关于如何将知识可视化从而支持智慧城市规划的讨论。

更新日期:2020-02-12
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