- To provide global urban, rural, and total population projection grids based on Shared Socioeconomic Pathways (SSPs) data at a resolution of one-eighth degree (7.5 arc-minutes) for climate, socioeconomic, environmental, and other related research.
- The Global Population Projection Grids Based on Shared Socioeconomic Pathways (SSPs), 2010-2100 consists of global spatial population projections at a resolution of one-eighth degree (7.5 arc-minutes) for urban, rural, and total population, consistent both quantitatively and qualitatively, with the SSPs at ten-year intervals for 2010-2100. 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 produced based on a clear need for plausible alternative projections of spatial distribution of the population that can represent patterns of development consistent with the SSPs.
- Recommended Citation(s)*:
Jones, B., and B. C. O'Neill. 2017. Global Population Projection Grids Based on Shared Socioeconomic Pathways (SSPs), 2010-2100. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4RF5S0P. Accessed DAY MONTH YEAR.
Jones, B., and B. C. ONeill. 2016. Spatially Explicit Global Population Scenarios Consistent with the Shared Socioeconomic Pathways. Environmental Research Letters, 11 (2016): 084003. https://doi.org/10.1088/1748-9326/11/8/084003.
* 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.
† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.
- Available Formats:
- raster, map