20220505 16104200 1.0 FALSE PopulationGrid2kmCorrected 002 Projected GCS_unknown Linear Unit: Meter (1.000000) Transverse_Mercator <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>PROJCS["Transverse_Mercator",GEOGCS["GCS_unknown",DATUM["D_unknown",SPHEROID["Spheroid",6377563.396,299.3249612664951]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["false_easting",400000.0],PARAMETER["false_northing",-100000.0],PARAMETER["central_meridian",-2.0],PARAMETER["scale_factor",0.9996012717],PARAMETER["latitude_of_origin",49.0],UNIT["Meter",1.0]]</WKT><XOrigin>-5220400</XOrigin><YOrigin>-15524400</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20220223 11072600 20220223 11072600 Esri ArcGIS 12.8.0.29751 PopulationGrid2kmCorrected What does the data show? Population from the UK Climate Resilience Programme UK-SSPs project. The data is available for the end of each decade. Provided on a 2km Transverse Mercator Grid (prj4string: “+proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +a=6377563.396 +rf=299.324975315035 +units=m +no_defs”). The source data was originally at a 1km resolution, but for usability it has been converted to 2km resolution. This dataset contains SSP1, SSP2, SSP3, SSP4 and SSP5. For more information see the table below. <table border='0' cellpadding='0' cellspacing='0' style='width:100.0%; background:white; border-collapse:collapse;' width='100%'> <tbody><tr style='height:3.3pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:3.3pt;' valign='top' width='39%'> Indicator </td> <td style='width:60.34%; border:solid #BFBFBF 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt; height:3.3pt;' valign='top' width='60%'> Population </td> </tr> <tr style='height:10.55pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:10.55pt;' valign='top' width='39%'> Metric </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:10.55pt;' valign='top' width='60%'> Population </td> </tr> <tr style='height:3.65pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:3.65pt;' valign='top' width='39%'> Unit </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:3.65pt;' valign='top' width='60%'> Headcount </td> </tr> <tr style='height:3.9pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:3.9pt;' valign='top' width='39%'> Spatial Resolution </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:3.9pt;' valign='top' width='60%'> 2km grid (sourced from 1km grid) </td> </tr> <tr style='height:4.05pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:4.05pt;' valign='top' width='39%'> Temporal Resolution </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:4.05pt;' valign='top' width='60%'> Decadal </td> </tr> <tr style='height:4.25pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:4.25pt;' valign='top' width='39%'> Sectoral Categories </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:4.25pt;' valign='top' width='60%'> N/A </td> </tr> <tr style='height:12.25pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.25pt;' valign='top' width='39%'> Baseline Data Source </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.25pt;' valign='top' width='60%'> ONS 2019; LCM 2015, Worldpop 2020 </td> </tr> <tr style='height:2.9pt;'> <td style='width:39.66%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:2.9pt;' valign='top' width='39%'> Projection Trend Source </td> <td style='width:60.34%; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:2.9pt;' valign='top' width='60%'> IIASA; UK SSP urbanisation </td> </tr> </tbody></table> What are the naming conventions and how do I explore the data? This data contains a field for each SSP scenario and the year at the end of each decade. For example, 'SSP1_2040' is the projection for 2040 in the SSP1 scenario. There are a small number of features in this data with much higher population values than the majority of features. This can skew the styling, and so if you want to emphasise areas of high density population you may wish to adjust the style settings to account for this. To understand how to explore the data, see this page: <a href='https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578' rel='nofollow ugc'>https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578</a> Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘SSP1_2020’ values. What are Shared Socioeconomic Pathways (SSPs)? The global SSPs, used in Intergovernmental Panel on Climate Change (IPCC) assessments, are five different storylines of future socioeconomic circumstances, explaining how the global economy and society might evolve over the next 80 years. Crucially, the global SSPs are independent of climate change and climate change policy, i.e. they do not consider the potential impact climate change has on societal and economic choices. Instead, they are designed to be coupled with a set of future climate scenarios, the Representative Concentration Pathways or ‘RCPs’. When combined together within climate research (in any number of ways), the SSPs and RCPs can tell us how feasible it would be to achieve different levels of climate change mitigation, and what challenges to climate change mitigation and adaptation might exist. Until recently, UK-specific versions of the global SSPs were not available to combine with the RCP-based climate projections. The aim of the UK-SSPs project was to fill this gap by developing a set of socioeconomic scenarios for the UK that is consistent with the global SSPs used by the IPCC community, and which will provide the basis for further UK research on climate risk and resilience. Useful links:<ul><li>Further information on the UK SSPs can be found on the <a href='https://www.ukclimateresilience.org/projects/uk-socioeconomic-scenarios-for-climate-research-and-policy/' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>UK SSP project site</a> and in <a href='https://storymaps.arcgis.com/stories/2e4f7aea6a1943528d9992dfe9631646' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>this storymap</a>.</li><li>Further information on RCP scenarios, SSPs and <a href='https://storymaps.arcgis.com/stories/1e9ba72a0b75473cb45a33c82cf23800' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>understanding climate data</a> within the Met Office Climate Data Portal.<span style='text-indent:-18pt; font-variant-numeric:normal; font-variant-east-asian:normal; font-variant-alternates:normal; font-kerning:auto; font-feature-settings:normal; font-stretch:normal; font-size:7pt; font-family:"Times New Roman";'> </li></ul><ul> </ul> Met OfficeClimateUKCR Programme2kmUKSocioeconomicSSPUK SSPsscenariomodellingeconomysocioeconomicpopulationeconomy Population (headcount) from the UK Climate Resilience Programme UK-SSPs project. Provided on a 2km Transverse Mercator grid. This dataset forms part of the Met Office Climate Data Portal service where other datasets, help and guidance can be found: https://climatedataportal.metoffice.gov.uk/ UK Climate Resilience Programme. Contains Met Office data licensed under the Open Government Licence v3.0. Contains OS data © Crown copyright and database right 2022 Pedde, S, Harrison, P, Holman, I, et al.: Enriching the Shared Socioeconomic Pathways to co-create consistent multi-sector scenarios for the UK. Science of the Total Environment. November 2020, 143172 https://www.ukclimateresilience.org/projects/uk-socioeconomic-scenarios-for-climate-research-and-policy/ File Geodatabase Feature Class dataset 0 Simple FALSE 0 TRUE FALSE PopulationGrid2kmCorrected Feature Class 0 OBJECTID OID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. 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