Skip to main content

Visualising Spaces of Global Inaccessibility

  • Chapter
  • First Online:
Book cover Mapping Wilderness
  • 885 Accesses

Abstract

Wilderness is normally visualised using conventional mapping approaches showing the least touched spaces on the planet. Because most of the world’s population lives in very limited spaces, this is a useful method of representation. The effects of human action, however, go much further than that, resulting in much of the land area being relatively close to humankind while the remotest and ‘wildest’ spaces are very little areas on a normal map. This chapter looks at alternative ways to visualise the most remote parts of the land area: by deploying a so-called gridded cartogram transformation to data about the (in)accessibility of a place, the resulting cartograms reveal the areas and the extent of the remotest spaces in a much less common way. Gridded cartograms are created by using an equally distributed grid onto which a density-equalising cartogram technique is applied. Each individual grid cell is resized according to its the average travel time to the nearest larger city. This technique is not only applied to the global scale, but also to regional and national-level data. The results are maps that give the remotest places most space and provide a unique and highly visual perspective on the spatial dimension of remoteness.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • CIESIN and CIAT (Center for International Earth Science Information Network/Centro Internacional de Agricultura Tropical, Socioeconomic Data and Applications Center (SEDAC), Columbia University, NY). (2005). Gridded Population of the World Version 3 (GPWv3): Population grids. http://sedac.ciesin.columbia.edu/gpw/global.jsp. Last accessed 1 May 2013.

  • Dorling, D. (2006). New maps of the world, its people, and their lives. Society of Cartographers Bulletin, 39(1–2), 35–40.

    Google Scholar 

  • Gastner, M. T., & Newman, M. E. J. (2004). Diffusion-based method for producing density equalizing maps. Proceedings of the National Academy of Sciences of the United States of America, 101, 7499–7504. doi: arXiv:physics/0401102v1 [physics.data-an].

    Google Scholar 

  • Hengl, T. (2011). Global datasets. http://spatial-analyst.net/wiki/index.php?title=Global_datasets. Last accessed 1 June 2011.

  • Hennig, B. D. (2013). Rediscovering the world: Map transformations of human and physical space. Berlin/Heidelberg: Springer. doi:10.1007/978-3-642-34848-8.

    Book  Google Scholar 

  • Hennig, B. D. (2014). Gridded cartograms as a method for visualising earthquake risk at the global scale. Journal of Maps, 10(2). doi:10.1080/17445647.2013.806229.

    Google Scholar 

  • Hennig, B. D., Pritchard, J., Ramsden, M., & Dorling, D. (2010). Remapping the world’s population. Visualizing data using cartograms. ArcUser, 2010(1), 66–69.

    Google Scholar 

  • Holmes, N. (Ed.). (2011). How to land a jumbo jet, a visual exploration of travel facts, figures and ephemera. Victoria: Lonely Planet.

    Google Scholar 

  • Nelson, A. (2008). Travel time to major cities. Report. Luxembourg: European Commission.

    Google Scholar 

  • NOAA (National Oceanic and Atmospheric Administration). (2009). ETOPO1 global relief model. http://www.ngdc.noaa.gov/mgg/global/global.html. Last accessed 1 May 2013.

  • Steffen, W., et al. (2011). The Anthropocene: From global change to planetary stewardship. AMBIO, 40(7), 739–761.

    Article  Google Scholar 

  • Uchida, H., & Nelson, A. (2010). Agglomeration index: Towards a new measure of urban concentration. In J. Beall, B. Guha-Khasnobis, & R. Kanbur (Eds.), Urbanization and development: Multidisciplinary perspectives (pp. 41–60). New York: Oxford University Press.

    Chapter  Google Scholar 

  • UNPD (United Nations Population Division). (2009). World urbanization prospects: The 2009 revision (Report). New York: United Nations Publications.

    Google Scholar 

  • USGS (US Geological Survey). (2009). GTOPO30. http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_info. Last accessed 1 June 2011.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Benjamin D. Hennig .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Hennig, B.D. (2016). Visualising Spaces of Global Inaccessibility. In: Carver, S., Fritz, S. (eds) Mapping Wilderness. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7399-7_7

Download citation

Publish with us

Policies and ethics