用于运动数据建模、分析和可视化的位置图

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data Pub Date : 2019-11-05 DOI:10.1145/3356392.3365223

C. Barnes

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引用次数: 1

摘要

考虑到数据规模、质量、时间采样和位置信息保真度的变化，对环境中的运动建模可能是一项复杂的任务。我们介绍了最近在空间、时间和语义上使用一个名为location Graph的新产品建模位置信息的工作。

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Location Graphs for Movement Data Modeling, Analytics and Visualization

Modeling movement through an environment can be a complicated task given the variations of data scale, quality, temporal sampling, and fidelity of location information. We present recent work in modeling location information both spatially, temporally and semantically using a new product called Location Graph.

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Proceedings of the 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data

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