Corpus ID: 42044117

Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach

@article{Chen2017VisualAO,
  title={Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach},
  author={Zhenghao Chen and Jianlong Zhou and Xiuying Wang},
  journal={ArXiv},
  year={2017},
  volume={abs/1707.02554}
}
Time-Spatial data plays a crucial role for different fields such as traffic management. These data can be collected via devices such as surveillance sensors or tracking systems. However, how to efficiently an- alyze and visualize these data to capture essential embedded pattern information is becoming a big challenge today. Classic visualization ap- proaches focus on revealing 2D and 3D spatial information and modeling statistical test. Those methods would easily fail when data become mas- sive… Expand
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