IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v51y2019i2p275-278.html
   My bibliography  Save this article

3D space–time visualization of individual settlement pathways of Mainland China-born migrants in Queensland, Australia

Author

Listed:
  • Siqin Wang
  • Yan Liu
  • Thomas Sigler
  • Jonathan Corcoran

Abstract

The number of migrants from Mainland China (MC) to Australia have been sharply increasing since 2000 and MC became the largest non-Commonwealth source country in 2011. The integration process of migrants to the host society involves the exposure and movement of migrants to the majority, which is reflected by the settlement pathways of migrants moving from ethnic to non-ethnic communities over time. Most of the existing research regarding migrants’ pathways is constrained by the limitations of cross-sectional data, which are usually available at the community or above levels. Little is known about the individual-level settlement pathways of migrants due to lack of data availability. In order to address this deficit, a 3D visualization is used to express the individual pathways of MC-born migrants based on primary survey data. This enables a more detailed, spatio-temporal picture of how long migrants live at each address and how they move across neighbourhoods.

Suggested Citation

  • Siqin Wang & Yan Liu & Thomas Sigler & Jonathan Corcoran, 2019. "3D space–time visualization of individual settlement pathways of Mainland China-born migrants in Queensland, Australia," Environment and Planning A, , vol. 51(2), pages 275-278, March.
  • Handle: RePEc:sae:envira:v:51:y:2019:i:2:p:275-278
    DOI: 10.1177/0308518X18805752
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0308518X18805752
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0308518X18805752?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
    ---><---

    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:envira:v:51:y:2019:i:2:p:275-278. 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.