Measuring the Geometric and Semantic Similarity of Space–Time Prisms Using Temporal Signatures.

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 analog...

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Publicado en:Annals of the American Association of Geographers Vol. 109; no. 3; pp. 730 - 754
Autores principales: Miller, Harvey J., Jaegal, Young, Raubal, Martin
Formato: Artículo
Publicado: Taylor & Francis Ltd May2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
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        10.1080/24694452.2018.1484686
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        atl: Measuring the Geometric and Semantic Similarity of Space–Time Prisms Using Temporal Signatures.
      aug:
        au:
          Miller, Harvey J.
          Jaegal, Young
          Raubal, Martin
        affil:
          Department of Geography and Center for Urban and Regional Analysis, The Ohio State University
          Institute of Cartography and Geoinformation, Swiss Federal Institute of Technology (ETH) Zurich
      su:
        Semantics
        Socioeconomic factors
        Geometric analysis
        Spacetime
        Animal mechanics
      sug:
        subj:
          Semantics
          Socioeconomic factors
          Geometric analysis
          Spacetime
          Animal mechanics
      keyword:
        几何相似性
        时空稜柱
        语义相似性
        geometric similarity
        prisma del espacio–tiempo
        semantic similarity
        similitud geométrica
        similitud semántica
        space–time prism
        prisma del espacio–tiempo
        similitud geométrica
        similitud semántica
        几何相似性
        时空稜柱
        语义相似性
        几何相似性
        时空稜柱
        语义相似性
        geometric similarity
        prisma del espacio–tiempo
        semantic similarity
        similitud geométrica
        similitud semántica
        space–time prism
        prisma del espacio–tiempo
        similitud geométrica
        similitud semántica
        几何相似性
        时空稜柱
        语义相似性
      ab: 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, Fréchet distances, and clustering techniques. Results suggest that the temporal signature curves capture meaningful similarities and differences among STPs.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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