Space–Time Analysis: Concepts, Quantitative Methods, and Future Directions.

Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative conceptualizations. Space–time analysis seeks to understand when and where (and sometimes why) things occur. In the...

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Published in:Annals of the Association of American Geographers Vol. 105; no. 5; pp. 891 - 915
Main Authors: An, Li, Tsou, Ming-Hsiang, Crook, Stephen E. S., Chun, Yongwan, Spitzberg, Brian, Gawron, J. Mark, Gupta, Dipak K.
Format: Article
Published: Taylor & Francis Ltd Sep2015
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Sep2015
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      pub: Taylor & Francis Ltd
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        10.1080/00045608.2015.1064510
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      tig:
        atl: Space–Time Analysis: Concepts, Quantitative Methods, and Future Directions.
      aug:
        au:
          An, Li
          Tsou, Ming-Hsiang
          Crook, Stephen E. S.
          Chun, Yongwan
          Spitzberg, Brian
          Gawron, J. Mark
          Gupta, Dipak K.
        affil:
          Department of Geography, San Diego State University
          School of Economic, Political and Policy Sciences, University of Texas at Dallas
          School of Communication, San Diego State University
          Department of Linguistics, San Diego State University
          Department of Political Science, San Diego State University
      su:
        Spacetime
        Simulation methods & models
        Spatial analysis (Statistics)
        Theory of knowledge research
        Cellular automata
      sug:
        subj:
          Spacetime
          Simulation methods & models
          Spatial analysis (Statistics)
          Theory of knowledge research
          Cellular automata
      keyword:
        absolute versus relative space
        review
        simulation models
        space–time analysis
        space–time analysis
        statistical models
        espacio absoluto vs. espacio relativo, modelos de simulación, análisis espacio-tiempo, modelos estadísticos
        espacio absoluto vs. espacio relativo, modelos de simulación, análisis espacio-tiempo, modelos estadísticos
        absolute versus relative space
        review
        simulation models
        space–time analysis
        space–time analysis
        statistical models
        espacio absoluto vs. espacio relativo, modelos de simulación, análisis espacio-tiempo, modelos estadísticos
        espacio absoluto vs. espacio relativo, modelos de simulación, análisis espacio-tiempo, modelos estadísticos
      ab: Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative conceptualizations. Space–time analysis seeks to understand when and where (and sometimes why) things occur. In the context of several of the most recent and substantial advances in individual movement data analysis (time geography in particular) and spatial panel data analysis, we focus on quantitative space–time analytics. Based on more than 700 articles (from 1949 to 2013) we obtained through a key word search on the Web of Knowledge and through the authors' personal archives, this article provides a synthetic overview about the quantitative methodology for space–time analysis. Particularly, we highlight space–time pattern revelation (e.g., various clustering metrics, path comparison indexes, space–time tests), space–time statistical models (e.g., survival analysis, latent trajectory models), and simulation methods (e.g., cellular automaton, agent-based models) as well as their empirical applications in multiple disciplines. This article systematically presents the strengths and weaknesses of a set of prevalent methods used for space–time analysis and points to the major challenges, new opportunities, and future directions of space–time analysis.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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