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...
| Published in: | Annals of the Association of American Geographers Vol. 105; no. 5; pp. 891 - 915 |
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| Main Authors: | , , , , , , |
| Format: | Article |
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Taylor & Francis Ltd
Sep2015
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=109464938&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 109464938 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00045608 AAG jtl: Annals of the Association of American Geographers issn: 00045608 maglogo: Y pubinfo: dt: Sep2015 vid: 105 iid: 5 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 109464938 10.1080/00045608.2015.1064510 ppf: 891 ppct: 24 formats: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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