IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v23y1991i7p1069-1075.html
   My bibliography  Save this article

Techniques for Modelling Population-Related Raster Databases

Author

Listed:
  • D Martin
  • I Bracken

Abstract

In this paper the refinement and application of a technique for the generation of surface models of population and related information are examined. With use of this technique the efficient generation of geographically extensive, high-resolution surfaces is described. The resulting database facilitates a range of improved spatial analyses. Some of these are more flexible means of accomplishing conventional tasks, such as the computation of incidence rates and the estimation of population for nonstandard areal units. Additionally, surface concepts are able to support innovative techniques, such as the identification and characterization of discrete settlements. Applications are described which demonstrate the range of possible analyses.

Suggested Citation

  • D Martin & I Bracken, 1991. "Techniques for Modelling Population-Related Raster Databases," Environment and Planning A, , vol. 23(7), pages 1069-1075, July.
    • Handle: RePEc:sae:envira:v:23:y:1991:i:7:p:1069-1075
    DOI: 10.1068/a231069
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a231069
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a231069?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. Yue, Tian-Xiang & Tian, Yong-Zhong & Liu, Ji-Yuan & Fan, Ze-Meng, 2008. "Surface modeling of human carrying capacity of terrestrial ecosystems in China," Ecological Modelling, Elsevier, vol. 214(2), pages 168-180.

    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:envira:v:23:y:1991:i:7:p:1069-1075. 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.