| dza_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"dza_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Algeria","resolution":"100","type":"Covariates","file_html":""},{"id":"22532","desc":"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<\/b>: | ago_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | ago_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | ago_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | ago_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | ago_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | ago_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | ago_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | ago_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"ago_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Angola","resolution":"100","type":"Covariates","file_html":""},{"id":"22577","desc":"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<\/b>: | ben_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | ben_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | ben_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | ben_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | ben_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | ben_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | ben_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | ben_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"ben_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Benin","resolution":"100","type":"Covariates","file_html":""},{"id":"22547","desc":"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<\/b>: | bwa_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | bwa_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | bwa_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | bwa_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | bwa_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | bwa_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | bwa_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | bwa_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"bwa_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Botswana","resolution":"100","type":"Covariates","file_html":""},{"id":"22755","desc":"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<\/b>: | bfa_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | bfa_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | bfa_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | bfa_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | bfa_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | bfa_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | bfa_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | bfa_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"bfa_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Burkina Faso","resolution":"100","type":"Covariates","file_html":""},{"id":"22556","desc":"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<\/b>: | bdi_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | bdi_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | bdi_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | bdi_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | bdi_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | bdi_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | bdi_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | bdi_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"bdi_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Burundi","resolution":"100","type":"Covariates","file_html":""},{"id":"22559","desc":"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<\/b>: | cmr_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | cmr_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | cmr_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | cmr_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | cmr_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | cmr_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | cmr_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | cmr_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"cmr_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Cameroon","resolution":"100","type":"Covariates","file_html":""},{"id":"22560","desc":"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<\/b>: | cpv_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | cpv_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | cpv_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | cpv_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | cpv_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | cpv_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | cpv_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | cpv_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"cpv_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Cape Verde","resolution":"100","type":"Covariates","file_html":""},{"id":"22562","desc":"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<\/b>: | caf_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | caf_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | caf_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | caf_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | caf_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | caf_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | caf_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | caf_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"caf_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Central African Republic","resolution":"100","type":"Covariates","file_html":""},{"id":"22564","desc":"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<\/b>: | tcd_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | tcd_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | tcd_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | tcd_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | tcd_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | tcd_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | tcd_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | tcd_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"tcd_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Chad","resolution":"100","type":"Covariates","file_html":""},{"id":"22567","desc":"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<\/b>: | com_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | com_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | com_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | com_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | com_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | com_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | com_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | com_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"com_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Comoros","resolution":"100","type":"Covariates","file_html":""},{"id":"22626","desc":"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<\/b>: | civ_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | civ_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | civ_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | civ_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | civ_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | civ_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | civ_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | civ_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"civ_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Cote d'Ivoire","resolution":"100","type":"Covariates","file_html":""},{"id":"22597","desc":"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<\/b>: | dji_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | dji_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | dji_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | dji_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | dji_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | dji_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | dji_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | dji_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"dji_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Djibouti","resolution":"100","type":"Covariates","file_html":""},{"id":"22570","desc":"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<\/b>: | cod_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | cod_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | cod_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | cod_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | cod_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | cod_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | cod_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | cod_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"cod_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"DRC","resolution":"100","type":"Covariates","file_html":""},{"id":"22749","desc":"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<\/b>: | egy_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | egy_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | egy_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | egy_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | egy_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | egy_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | egy_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | egy_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"egy_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Egypt","resolution":"100","type":"Covariates","file_html":""},{"id":"22583","desc":"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<\/b>: | gnq_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | gnq_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | gnq_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | gnq_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | gnq_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | gnq_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | gnq_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | gnq_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"gnq_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Equatorial Guinea","resolution":"100","type":"Covariates","file_html":""},{"id":"22585","desc":"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<\/b>: | eri_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | eri_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | eri_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | eri_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | eri_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | eri_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | eri_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | eri_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"eri_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Eritrea","resolution":"100","type":"Covariates","file_html":""},{"id":"22730","desc":"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<\/b>: | swz_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | swz_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | swz_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | swz_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | swz_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | swz_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | swz_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | swz_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"swz_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Eswatini","resolution":"100","type":"Covariates","file_html":""},{"id":"22584","desc":"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<\/b>: | eth_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | eth_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | eth_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | eth_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | eth_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | eth_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | eth_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | eth_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"eth_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Ethiopia","resolution":"100","type":"Covariates","file_html":""},{"id":"22598","desc":"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<\/b>: | gab_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | gab_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | gab_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | gab_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | gab_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | gab_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | gab_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | gab_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"gab_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Gabon","resolution":"100","type":"Covariates","file_html":""},{"id":"22600","desc":"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<\/b>: | gmb_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | gmb_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | gmb_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | gmb_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | gmb_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | gmb_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | gmb_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | gmb_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"gmb_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Gambia","resolution":"100","type":"Covariates","file_html":""},{"id":"22603","desc":"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<\/b>: | gha_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | gha_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | gha_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | gha_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | gha_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | gha_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | gha_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | gha_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"gha_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Ghana","resolution":"100","type":"Covariates","file_html":""},{"id":"22611","desc":"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<\/b>: | gin_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | gin_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | gin_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | gin_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | gin_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | gin_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | gin_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | gin_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"gin_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Guinea","resolution":"100","type":"Covariates","file_html":""},{"id":"22695","desc":"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<\/b>: | gnb_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | gnb_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | gnb_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | gnb_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | gnb_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | gnb_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | gnb_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | gnb_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"gnb_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Guinea-Bissau","resolution":"100","type":"Covariates","file_html":""},{"id":"22631","desc":"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<\/b>: | ken_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | ken_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | ken_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | ken_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | ken_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | ken_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | ken_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | ken_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"ken_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Kenya","resolution":"100","type":"Covariates","file_html":""},{"id":"22638","desc":"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<\/b>: | lso_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | lso_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | lso_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | lso_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | lso_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | lso_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | lso_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | lso_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"lso_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Lesotho","resolution":"100","type":"Covariates","file_html":""},{"id":"22640","desc":"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<\/b>: | lbr_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | lbr_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | lbr_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | lbr_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | lbr_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | lbr_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | lbr_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | lbr_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"lbr_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Liberia","resolution":"100","type":"Covariates","file_html":""},{"id":"22641","desc":"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<\/b>: | lby_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | lby_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | lby_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | lby_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | lby_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | lby_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | lby_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | lby_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"lby_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Libya","resolution":"100","type":"Covariates","file_html":""},{"id":"22646","desc":"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<\/b>: | mdg_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | mdg_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | mdg_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | mdg_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | mdg_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | mdg_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | mdg_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | mdg_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"mdg_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Madagascar","resolution":"100","type":"Covariates","file_html":""},{"id":"22647","desc":"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<\/b>: | mwi_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | mwi_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | mwi_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | mwi_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | mwi_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | mwi_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | mwi_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | mwi_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"mwi_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Malawi","resolution":"100","type":"Covariates","file_html":""},{"id":"22650","desc":"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<\/b>: | mli_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | mli_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | mli_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | mli_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | mli_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | mli_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | mli_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | mli_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"mli_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Mali","resolution":"100","type":"Covariates","file_html":""},{"id":"22653","desc":"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<\/b>: | mrt_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | mrt_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | mrt_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | mrt_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | mrt_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | mrt_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | mrt_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | mrt_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"mrt_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Mauritania","resolution":"100","type":"Covariates","file_html":""},{"id":"22654","desc":"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<\/b>: | mus_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | mus_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | mus_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | mus_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | mus_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | mus_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | mus_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | mus_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"mus_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Mauritius","resolution":"100","type":"Covariates","file_html":""},{"id":"22568","desc":"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<\/b>: | myt_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | myt_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | myt_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | myt_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | myt_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | myt_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | myt_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | myt_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"myt_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Mayotte","resolution":"100","type":"Covariates","file_html":""},{"id":"22661","desc":"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<\/b>: | mar_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | mar_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | mar_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | mar_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | mar_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | mar_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | mar_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | mar_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"mar_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Morocco","resolution":"100","type":"Covariates","file_html":""},{"id":"22662","desc":"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<\/b>: | moz_esaccilc_dst011_100m_2014<\/td> | Distance to ESA-CCI-LC cultivated area edges 2014<\/td><\/tr> | | moz_esaccilc_dst040_100m_2014<\/td> | Distance to ESA-CCI-LC woody-tree area edges 2014<\/td><\/tr> | | moz_esaccilc_dst130_100m_2014<\/td> | Distance to ESA-CCI-LC shrub area edges 2014<\/td><\/tr> | | moz_esaccilc_dst140_100m_2014<\/td> | Distance to ESA-CCI-LC herbaceous area edges 2014<\/td><\/tr> | | moz_esaccilc_dst150_100m_2014<\/td> | Distance to ESA-CCI-LC sparse vegetation area edges 2014<\/td><\/tr> | | moz_esaccilc_dst160_100m_2014<\/td> | Distance to ESA-CCI-LC aquatic vegetation area edges 2014<\/td><\/tr> | | moz_esaccilc_dst190_100m_2014<\/td> | Distance to ESA-CCI-LC artificial surface edges 2014<\/td><\/tr> | | moz_esaccilc_dst200_100m_2014<\/td> | Distance to ESA-CCI-LC bare area edges 2014<\/td><\/tr> <\/tbody><\/table> Methodology<\/b>: The geodesic distances have been calculated using the haversine formula and global input datasets to avoid edge effects at the country boundaries.
Data Source<\/b>: 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\/","doi":"10.5258\/SOTON\/WP00644","popyear":"2014","date":"2018-11-02","file_img":"moz_esaccilc_dst011_100m_2014.png","continent":"Africa","country":"Mozambique","resolution":"100","type":"Covariates","file_html":""},{"id":"22664","desc":"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
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