IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v19y1992i6p639-650.html
   My bibliography  Save this article

Using Computer Animation to Visualize Space-Time Patterns

Author

Listed:
  • D Dorling

    (North East Regional Research Laboratory, Department of Geography, University of Newcastle upon Tyne, Newcastle upon Tyne NE1 7RU, England)

  • S Openshaw

    (School of Geography, University of Leeds, Leeds LS2 9JT, England)

Abstract

The geographic information revolution is rapidly increasing the availability of data that are referenced both by space and by time coordinates. This creates new opportunities for analysis, but also causes enormous problems as analytical tools able to depict, detect, or measure patterns in space-time data are poorly developed. The question arises as to whether or not a greater emphasis on the dynamics of spatial patterns may assist the analysis task. This is investigated by creating a series of VHS-format computer animations using an inexpensive microcomputer (an Acorn Archimedes). The technology is demonstrated by the analysis of leukaemia data for northern England, telephone line faults, and crime incidence in Tyne and Wear. The results provide an entirely new perspective on the nature of spatial patterns thought to exist and demonstrates the potential of hypermedia technology as a platform for new and novel approaches to spatial analysis.

Suggested Citation

  • D Dorling & S Openshaw, 1992. "Using Computer Animation to Visualize Space-Time Patterns," Environment and Planning B, , vol. 19(6), pages 639-650, December.
  • Handle: RePEc:sae:envirb:v:19:y:1992:i:6:p:639-650
    DOI: 10.1068/b190639
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b190639
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b190639?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cécile Saint-Marc & Paule-Annick Davoine & Marlène Villanova-Oliver, 2014. "Methods for mapping volcanic events overlaid across time," Journal of Maps, Taylor & Francis Journals, vol. 10(2), pages 249-256, April.
    2. Fischer, Manfred M. & Openshaw, Stan, 1995. "A Framework for Research on Spatial Analysis Relevant to Geo-Statistical Informations Systems in Europe," MPRA Paper 77814, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:19:y:1992:i:6:p:639-650. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.