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HistMapR : Rapid digitization of historical land-use maps in R

Auffret, Alistair G. (author)
Stockholms universitet,Institutionen för naturgeografi,University of York, UK
Kimberley, Adam (author)
Stockholms universitet,Institutionen för naturgeografi
Plue, Jan (author)
Stockholms universitet,Institutionen för naturgeografi
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Skånes, Helle (author)
Stockholms universitet,Institutionen för naturgeografi
Jakobsson, Simon (author)
Stockholms universitet,Institutionen för naturgeografi
Waldén, Emelie (author)
Stockholms universitet,Institutionen för naturgeografi
Wennbom, Marika (author)
Wood, Heather (author)
Stockholms universitet,Institutionen för naturgeografi
Bullock, James M. (author)
Cousins, Sara A. O. (author)
Stockholms universitet,Institutionen för naturgeografi
Gartz, Mira (author)
Stockholms universitet,Institutionen för naturgeografi
Hooftman, Danny A. P. (author)
Tränk, Louise (author)
Stockholms universitet,Institutionen för naturgeografi
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 (creator_code:org_t)
2017
2017
English.
In: Methods in Ecology and Evolution. - 2041-210X. ; 8:11, s. 1453-1457
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Habitat destruction and degradation represent serious threats to biodiversity, and quantification of land-use change over time is important for understanding the consequences of these changes to organisms and ecosystem service provision. Comparing land use between maps from different time periods allows estimation of the magnitude of habitat change in an area. However, digitizing historical maps manually is time-consuming and analyses of change are usually carried out at small spatial extents or at low resolutions. HistMapR contains a number of functions that can be used to semi-automatically digitize historical land use according to a map's colours, as defined by the RGB bands of the raster image. We test the method on different historical land-use map series and compare results to manual digitizations. Digitization is fast, and agreement with manually digitized maps of around 80-90% meets common targets for image classification. We hope that the ability to quickly classify large areas of historical land use will promote the inclusion of land-use change into analyses of biodiversity, species distributions and ecosystem services.

Subject headings

NATURVETENSKAP  -- Biologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences (hsv//eng)

Keyword

biodiversity
fragmentation
GIS
habitat destruction
historical ecology
landscape ecology
land-use change
mapping
species distribution modelling
Physical Geography
naturgeografi

Publication and Content Type

ref (subject category)
art (subject category)

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