- To provide global urban, rural, and total population projection grids based on Shared Socioeconomic Pathways (SSPs) data at a resolution of 1-km for climate, socioeconomic, environmental, and other related research.
- The Global Population Projection Grids Based on Shared Socioeconomic Pathways (SSPs), Downscaled 1-km Grids, 2010-2100 consists of global spatial population projections at a resolution of 1-km (about 30 arc-seconds) for urban, rural, and total population, and at ten-year intervals for 2010-2100. The projections are consistent both quantitatively and qualitatively with the Shared Socioeconomic Pathways (SSPs). This data set is a downscaled version of the Global Population Projection Grids Based on SSPs, v1 (2010-2100), published in Jones and O'Neill (2016). The downscaling methods were published in Gao (2017). Spatial demographic projections are key inputs for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts, and adaptation. The SSPs are developed to support future climate and global change research and the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). This data set is distributed in GeoTIFF and netCDF formats.
- Recommended Citation(s)*:
Gao, J. 2019. Global Population Projection Grids Based on Shared Socioeconomic Pathways (SSPs), Downscaled 1-km Grids, 2010-2100. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H44747X4. Accessed DAY MONTH YEAR.
Gao, J. 2017. Downscaling Global Spatial Population Projections from 1/8-degree to 1-km Grid Cells. NCAR Technical Note NCAR/TN-537+STR . https://doi.org/10.5065/D60Z721H.
* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.
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- Available Formats:
- raster, map