The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84.
The values of the raster are the distances (in kilometres) from the cell centres to the nearest feature

Filenames:

kgz_esaccilc_dst011_100m_2010	Distance to ESA-CCI-LC cultivated area edges 2010
kgz_esaccilc_dst040_100m_2010	Distance to ESA-CCI-LC woody-tree area edges 2010
kgz_esaccilc_dst130_100m_2010	Distance to ESA-CCI-LC shrub area edges 2010
kgz_esaccilc_dst140_100m_2010	Distance to ESA-CCI-LC herbaceous area edges 2010
kgz_esaccilc_dst150_100m_2010	Distance to ESA-CCI-LC sparse vegetation area edges 2010
kgz_esaccilc_dst160_100m_2010	Distance to ESA-CCI-LC aquatic vegetation area edges 2010
kgz_esaccilc_dst190_100m_2010	Distance to ESA-CCI-LC artificial surface edges 2010
kgz_esaccilc_dst200_100m_2010	Distance to ESA-CCI-LC bare area edges 2010

Methodology: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.

Data Source: ESA (European Space Agency) CCI (Climate Change Initiative) Land Cover project 2017. "Land Cover CCI Product - Annual LC maps from 2000 to 2015 (v2.0.7)." http://maps.elie.ucl.ac.be/CCI/viewer/

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Region : Kyrgyz Republic

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DOI : 10.5258/SOTON/WP00644

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Date of production : 2018-11-02

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Recommended citation

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00644

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Data Files :