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首页> 外文期刊>Annals of the American Association of Geographers >Measuring the Geometric and Semantic Similarity of Space-Time Prisms Using Temporal Signatures
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Measuring the Geometric and Semantic Similarity of Space-Time Prisms Using Temporal Signatures

机译:使用时间签名测量时空棱镜的几何和语义相似性

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摘要

Well-established techniques exist for measuring the similarity of space-time paths. These measures support clustering and aggregation of space-time paths as well as moving objects database queries based on similar movement patterns or semantics. Little attention has been paid, however, to the analogous problem of measuring space-time prism (STP) similarity, despite comparable applications. This article presents and evaluates a method for measuring STP similarity through dimensionality reduction that leverages their inherent temporal ordering. The technique sweeps an STP along the time axis and derives one-dimensional temporal signatures based on a measured STP property that captures its geometry or semantics. These temporal signatures can be visualized directly as curves. We can also apply existing space-time path similarity measures to these signatures. To demonstrate the feasibility of this approach, we perform two sets of experiments measuring geometric and semantic similarity among STPs and assess the information within these curves using visualization, Frechet distances, and clustering techniques. Results suggest that the temporal signature curves capture meaningful similarities and differences among STPs.
机译:存在用于测量时空路径相似性的良好技术。这些措施支持基于类似的移动模式或语义的空间路径的聚类和聚合以及移动对象数据库查询。然而,尽管应用了类似的应用,但已经支付了很少的注意力测量时空棱镜(STP)相似性的类似问题。本文介绍并评估通过利用其固有的时间顺序的维度减少来测量STP相似性的方法。该技术沿时间轴扫描STP,并基于测量的STP属性来源于捕获其几何或语义的一维时间签名。这些时间签名可以直接可视化为曲线。我们还可以将现有的时空路径相似度措施应用于这些签名。为了展示这种方法的可行性,我们在STP中执行两组测量几何和语义相似性的实验,并使用可视化,FREERNET距离和聚类技术评估这些曲线内的信息。结果表明,时间签名曲线捕获了STP之间的有意义的相似性和差异。

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