These layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to the global population grid generated by the JRC in the epochs 1975-20...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-POP - R2023A.
Residential population estimat...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-POP - R2023A.
Residential population estimat...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-POP - R2023A.
Residential population estimat...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size.
It derives from the GHS-POP - R2023A.
Residential population esti...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size.
It derives from the GHS-POP - R2023A.
Residential population esti...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size.
It derives from the GHS-POP - R2023A.
Residential population esti...
The Copernicus Global Land Service - Burnt Area products depict burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction o...
The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surfaces estimates between 1975 and 2030 in 5 year intervals and two functional use components a) the total BU surf...
The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surfaces estimates between 1975 and 2030 in 5 year intervals and two functional use components a) the total BU surf...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to electricity and f...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to electricity and h...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to electricity and g...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to electricity and e...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to sanitation infras...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to sanitation infr...
