IDEAS home Printed from https://ideas.repec.org/a/taf/tjomxx/v13y2017i1p117-123.html
   My bibliography  Save this article

Visualising world population density as an interactive multi-scale map using the global human settlement population layer

Author

Listed:
  • Duncan A. Smith

Abstract

Recent advances in global population data are enabling new cartographic and analytical opportunities. The Global Human Settlement Layer is the first sub-1 km cell resolution global population density product released as open data, with many applications in the fields of global population dynamics, urban studies and natural hazard risk. There are several cartographic challenges with visualising this dataset due to the range of spatial scales that are of interest, and the extensive variation in the density of settlements patterns that exist across different regions of the globe. These challenges are tackled here using interactive mapping, allowing navigation from global to city-region scales. A detailed classification and colour scheme is developed to distinguish a wide range of densities at multiple scales. Additionally, interactive statistics are presented for direct numerical comparisons at both country and city scales, further enabling global density comparisons. The interactive map produced has received 30,000 users in four months, indicating the widespread interest in understanding global population density.

Suggested Citation

  • Duncan A. Smith, 2017. "Visualising world population density as an interactive multi-scale map using the global human settlement population layer," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 117-123, January.
  • Handle: RePEc:taf:tjomxx:v:13:y:2017:i:1:p:117-123
    DOI: 10.1080/17445647.2017.1400476
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17445647.2017.1400476
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17445647.2017.1400476?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Francis Ostermeijer & Hans R A Koster & Jos van Ommeren & Victor Mayland Nielsen, 2022. "Automobiles and urban density [Urban spatial structure]," Journal of Economic Geography, Oxford University Press, vol. 22(5), pages 1073-1095.

    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:taf:tjomxx:v:13:y:2017:i:1:p:117-123. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjom20 .

    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.