This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.
It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to sanitation and fo...
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 piped water and f...
This dataset represents a geographic clip to Africa of the
World Database on Protected Areas (WDPA),
which is the authoritative and most complete global dataset on terrestrial and ...
This spatial dataset contains the geographic boundaries and ecological evaluations of 45 Key Landscapes for Conservation and Development (KLCDs) across Sub-Saharan Africa. Building on the K...
