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Alexander Rolwes and Klaus Böhm
Geospatial factors, because of their spatio-temporal correlations with demand-driven limited service, offer to improve urban planning decisions and expand the knowledge base in cities. Spatio-temporal analyses require an efficient and comprehensible visu...
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Lele Chu, Bo Ai, Yubo Wen, Qingtong Shi, Huadong Ma and Wenjun Feng
The particle system is widely used in vector field feature visualization due to its dynamics and simulation. However, there are some defects of the vector field visualization method based on the Euler fields, such as unclear feature expression and discon...
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Vaclav Skala and Eliska Mourycova
Interpolating and approximating scattered scalar and vector data is fundamental in resolving numerous engineering challenges. These methodologies predominantly rely on establishing a triangulated structure within the data domain, typically constrained to...
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Wenjie Kong, Hao Dong, Jie Wu, Yidi Zhao and Zhou Jin
Porous media has potential applications in fluid machinery and in aerospace science and engineering due to its excellent drag-reduction properties. We carried out experimental time-resolved particle image velocimetry (TR-PIV) research, laying porous medi...
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Pawel Cybulski
Animated cartographic visualization incorporates the concept of geomedia presented in this Special Issue. The presented study aims to examine the effectiveness of spatial pattern and temporal trend recognition on animated choropleth maps. In a controlled...
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Haochen Zou, Keyan Cao and Chong Jiang
Urban road traffic spatio-temporal characters reflect how citizens move and how goods are transported, which is crucial for trip planning, traffic management, and urban design. Video surveillance camera plays an important role in intelligent transport sy...
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Jing Kang, Changcheng Kan and Zhongjie Lin
With the rapid development of electric vehicles (EVs) around the world, debates have arisen with regard to their impacts on people?s lifestyles and urban space. Mining spatio-temporal patterns from increasingly smart city sensors and personal mobile devi...
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Jingyi Zhou, Jie Shen, Kaiyue Zang, Xiao Shi, Yixian Du and Petr ?ilhák
With the acceleration of the urbanization process, the problems caused by extreme weather such as heavy rainstorm events have become more and more serious. During such events, the road and its auxiliary facilities may be damaged in the process of the rai...
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Xuefeng Guan, Chong Xie, Linxu Han, Yumei Zeng, Dannan Shen and Weiran Xing
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Research...
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Colin Fischer, Monika Sester and Steffen Schön
In this paper, we present an implementation of a research data management system that features structured data storage for spatio-temporal experimental data (environmental perception and navigation in the framework of autonomous driving), including metad...
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