20211223 13214100 1.0 FALSE RailInfrastructure_Simplify 002 Projected GCS_OSGB_1936 Linear Unit: Meter (1.000000) British_National_Grid <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["British_National_Grid",GEOGCS["GCS_OSGB_1936",DATUM["D_OSGB_1936",SPHEROID["Airy_1830",6377563.396,299.3249646]],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],AUTHORITY["EPSG",27700]]</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><WKID>27700</WKID><LatestWKID>27700</LatestWKID></ProjectedCoordinateSystem> 20211224 11595200 20211224 11595200 Esri ArcGIS 12.8.0.29751 RailInfrastructure_Simplify What does the data show? Railway lines per area (m/km2) from the UK Climate Resilience Programme UK-SSPs project. The data is available for each Office for National Statistics Local Authority District (ONS LAD) shape simplified to a 10m resolution. The data is available for the end of each decade. 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:52.1%; border:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:3.3pt;' valign='top' width='52%'> Indicator </td> <td style='width:47.9%; border:solid #BFBFBF 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt; height:3.3pt;' valign='top' width='47%'> Rail Infrastructure </td> </tr> <tr style='height:10.55pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:10.55pt;' valign='top' width='52%'> Metric </td> <td style='width:47.9%; 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='47%'> Railway lines per area </td> </tr> <tr style='height:3.65pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:3.65pt;' valign='top' width='52%'> Unit </td> <td style='width:47.9%; 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='47%'> m/km2 </td> </tr> <tr style='height:3.9pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:3.9pt;' valign='top' width='52%'> Spatial Resolution </td> <td style='width:47.9%; 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='47%'> LAD </td> </tr> <tr style='height:4.05pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:4.05pt;' valign='top' width='52%'> Temporal Resolution </td> <td style='width:47.9%; 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='47%'> Decadal </td> </tr> <tr style='height:4.25pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:4.25pt;' valign='top' width='52%'> Sectoral Categories </td> <td style='width:47.9%; 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='47%'> N/A </td> </tr> <tr style='height:12.25pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.25pt;' valign='top' width='52%'> Baseline Data Source </td> <td style='width:47.9%; 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='47%'> WFP 2014 </td> </tr> <tr style='height:2.9pt;'> <td style='width:52.1%; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:2.9pt;' valign='top' width='52%'> Projection Trend Source </td> <td style='width:47.9%; 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='47%'> Stakeholder process </td> </tr> </tbody></table> What are the naming conventions and how do I explore the data? This data contains a field for the year at the end of each decade. A separate field for 'Scenario' allows the data to be filtered, e.g. by scenario 'SSP3'. 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 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/' target='_blank' rel='nofollow ugc noopener noreferrer'>UK SSP project site</a> and in <a href='https://storymaps.arcgis.com/stories/2e4f7aea6a1943528d9992dfe9631646' 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' target='_blank' rel='nofollow ugc noopener noreferrer'>understanding climate data</a> within the Met Office Climate Data Portal</li> </ul> Met OfficeClimateUKCR ProgrammeLA/groups of LAUKSocioeconomicSSPUK SSPsscenariomodellingeconomysocioeconomic Railway lines per area (m/km2) from the UK Climate Resilience Programme UK-SSPs project. The data is available for each Office for National Statistics Local Authority District (ONS LAD) shape simplified to a 10m resolution. 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/ Office for National Statistics data licensed under the Open Government Licence v.3.0 File Geodatabase Feature Class dataset EPSG 6.3(3.0.1) 0 Simple FALSE 0 TRUE FALSE RailInfrastructure_Simplify Feature Class 0 OBJECTID OBJECTID_12 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. LAD19CD LAD19CD String 9 0 0 LAD19NM LAD19NM String 36 0 0 LAD19NMW LAD19NMW String 24 0 0 BNG_E BNG_E Integer 4 0 0 BNG_N BNG_N Integer 4 0 0 Metric Metric String 255 0 0 Unit Unit String 255 0 0 Scenario Scenario String 255 0 0 F2020 2020 Double 8 0 0 F2030 2030 Double 8 0 0 F2040 2040 Double 8 0 0 F2050 2050 Double 8 0 0 F2060 2060 Double 8 0 0 F2070 2070 Double 8 0 0 F2080 2080 Double 8 0 0 F2090 2090 Double 8 0 0 F2100 2100 Double 8 0 0 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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