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A pixel level evalu...
A pixel level evaluation of five multitemporal global gridded population datasets : a case study in Sweden, 1990-2015
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- Archila Bustos, Maria Francisca (författare)
- Lund University,Lunds universitet,Institutionen för kulturgeografi och ekonomisk geografi,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Department of Human Geography,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences,Lund University, Department of Human Geography, Sölvegatan 10, Lund, 223 62, Sweden
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- Hall, Ola (författare)
- Lund University,Lunds universitet,Institutionen för kulturgeografi och ekonomisk geografi,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Department of Human Geography,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences,Lund University, Department of Human Geography, Sölvegatan 10, Lund, 223 62, Sweden
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- Niedomysl, Thomas (författare)
- Stockholm University,Stockholms universitet,Kulturgeografiska institutionen,Department of Analysis and Coordination, Region Halland, Halmstad, Sweden; Stockholm University, Department of Human Geography, Stockholm, Sweden
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- Ernstson, Ulf, 1958- (författare)
- Högskolan Väst,University College West,Avdelningen för Matematik, Data- och Lantmäteriteknik
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(creator_code:org_t)
- 2020-09-01
- 2020
- Engelska.
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Ingår i: Population and environment. - : Springer Science and Business Media LLC. - 0199-0039 .- 1573-7810. ; 42, s. 255-277
- Relaterad länk:
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https://doi.org/10.1...
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http://dx.doi.org/10... (free)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Human activity is a major driver of change and has contributed to many of the challenges we face today. Detailed information about human population distribution is fundamental and use of freely available, high-resolution, gridded datasets on global population as a source of such information is increasing. However, there is little research to guide users in dataset choice. This study evaluates five of the most commonly used global gridded population datasets against a high-resolution Swedish population dataset on a pixel level. We show that datasets which employ more complex modeling techniques exhibit lower errors overall but no one dataset performs best under all situations. Furthermore, differences exist in how unpopulated areas are identified and changes in algorithms over time affect accuracy. Our results provide guidance in navigating the differences between the most commonly used gridded population datasets and will help researchers and policy makers identify the most suitable datasets under varying conditions.
Ämnesord
- SAMHÄLLSVETENSKAP -- Social och ekonomisk geografi (hsv//swe)
- SOCIAL SCIENCES -- Social and Economic Geography (hsv//eng)
- SAMHÄLLSVETENSKAP -- Social och ekonomisk geografi -- Kulturgeografi (hsv//swe)
- SOCIAL SCIENCES -- Social and Economic Geography -- Human Geography (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
Nyckelord
- Gridded population
- Population estimation
- Human population distribution
- Dasymetric mapping
- Dasymetric mapping
- Gridded population
- Human population distribution
- Population estimation
Publikations- och innehållstyp
- ref (ämneskategori)
- for (ämneskategori)
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