Under the Natural Capital and Ecosystem Assessment (NCEA) Pilot, Natural England and the Botanical Society of Britain and Ireland (BSBI) have been working in partnership to use BSBI's vast database of plant records to inform the evidence base for tree-planting activities. Poorly targeted tree planting risks damaging wildlife and carbon-rich habitats, therefore using these data we aim to ensure that areas of high conservation value are preserved in the landscape. The summarised botanical value map provides an easily interpretable output which categorises monads (1 x 1 km grid squares) as being of Low, Moderate or High botanical value according to the presence of Rare, Scarce and Threatened (RST) plant species and/or the proportion of Priority Habitat Positive Indicator (PHPI) species that were recorded within the 1 x 1 km grid square between 1970 and 2022. The PHPI species are a combination of BSBI axiophytes, positive indicators for common standards monitoring and ancient woodland indicators. The dataset includes an overall botanical value, as well as values based on only the presence of RST plant species, and a value for each broad habitat type based on the PHPI species records. By viewing the different attributes, you can gain insights into how valuable a monad is for different habitat types and for plant species of conservation concern, as well as an indication of how well a particular monad has been surveyed. The categories of 'No indicators, poor survey coverage' and 'No indicators, good survey coverage' indicate where no indicator species have been recorded and survey coverage either is above or below a threshold of 3 'recorder days'. A 'recorder day' is defined as being when 40 or more species have been recorded on a single visit and 3 recorder days is assumed sufficient to achieve good survey coverage within a 1 x 1 km grid square. This map is not intended to be used to carry out detailed assessments of individual site suitability for tree planting, for which the RST plant species heatmap at 100 x 100 m resolution and the PHPI heatmaps at 1 x 1 km resolution have been developed by BSBI and Natural England. However, the summarised botanical value map can provide useful insights at a strategic landscape scale, to highlight monads of high value for vascular plants and inform spatial planning and prioritisation, and other land management decision-making. These should be used alongside other environmental datasets and local knowledge to ensure decisions are supported by the appropriate evidence. Please get in contact if you have any queries about the data or appropriate uses at botanicalheatmaps@naturalengland.org.uk.Datasets used:BSBI botanical heatmap data - BSBIOS Grids - OSONS Country boundaries - ONSCommon Standards Monitoring guidance - JNCC 2004BSBI's Axiophyte list - Walker 2018Ancient Woodland Indicators - Glaves et al. 2009Plantatt - Hill et al. 2004Further information can be found in the technical report at:Botanical Heatmaps and the Botanical Value Map: Technical Report (NERR110)Full metadata can be viewed on data.gov.uk.

The Department for Business, Enterprise & Regulatory Reform's wind speed database is available from this website. It contains estimates of the annual mean wind speed throughout the UK. The data is the result of an air flow model that estimates the effect of topography on wind speed. There is no allowance for the effect of local thermally driven winds such as sea breezes or mountain/valley breezes. The model was applied with 1km square resolution and takes no account of topography on a small scale or local surface roughness (such as tall crops, stone walls or trees), both of which may have a considerable effect on the wind speed. The data can only be used as a guide and should be followed by on-site measurements for a proper assessment. Each value stored in the database is the estimated average for a 1km square at either 10m, 25m or 45m above ground level (agl). The database uses the Ordnance Survey grid system for Great Britain and the grid system of the Ordnance Survey of Northern Ireland.

Find out the most popular cycling routes and running routes across North Yorkshire and the world.

This is a useful website to show where the most popular cycling and running routes are in your area.

Why not try going for a run or a ride? Why not try cycling to work? Have a healthier hobby? or visit an attractive part of the County and take in a ride?

The Scotland Heat Map provides the locations of existing and planned heat networks. Both communal and district heat networks are included. Data about each network includes, where available, heat capacity size category, network name, status (either 'operational' or 'in development') and the main technology used (for example, 'boiler'). There is only one point location for each network, the data does not show all connected properties or pipe layouts. Networks can serve domestic properties, non-domestic properties or a mixture of the two. Heat networks have the potential to reduce carbon emissions from heating buildings. Alongside other heat map datasets, information on existing and planned networks is used to identify further opportunities to reduce carbon emissions. For example, by connecting more buildings to an existing network or by replacing the energy source with a nearby lower carbon alternative. Data on heat networks comes from two sources. These are: the UK Department for Energy Security and Net Zero's Heat Networks (Metering and Billing) Regulations (HNMBR) dataset and Zero Waste Scotland's Low Carbon Heat Database (LCHD). The most recent data available is up to end July 2022 for the HNMBR dataset (though the majority of the HNMBR data included in the heat map is up to end December 2018) and January 2022 for the LCHD. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

Strava Cycling heatmap

A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)

The Scotland Heat Map provides estimates of annual heat demand for almost 3 million properties in Scotland. Demand is given in kilowatt-hours per year (kWh/yr). Property level estimates can be combined to give values for various geographies. Both domestic and non-domestic properties are included. This dataset gives the total estimated heat demand of properties within each 2020 Settlement in Scotland in kilowatt-hours per year (kWh/yr). Heat demand is calculated by combining data from a number of sources, ensuring that the most appropriate data available is used for each property. The data can be used by local authorities and others to identify or inform opportunities for low carbon heat projects such as district heat networks. The Scotland Heat Map is produced by the Scottish Government. The most recent version is the Scotland Heat Map 2022, which was released to local authorities in November 2023. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

The location of existing and planned sources of energy, both electricity and heat, is provided as part of the Scotland Heat Map. Alongside data on heat demand, this is used to identify opportunities to reduce carbon emissions from heat in buildings, either by connecting supply and demand in a more efficient manner or by using lower carbon alternatives to existing supply. Data on each energy supply point includes, where available, capacity size category, main technology used (e.g., ‘wind’, ‘biomass’) and planning status (e.g., ‘operational’, ‘in development’). This dataset is new for the Scotland Heat Map 2022 (which was released to local authorities in November 2023). It replaces the data on existing and planned energy supply in earlier versions of the heat map. The Scotland Heat Map is produced by the Scottish Government. Data on existing and planned energy supply comes three sources. Two are UK Government sources: the Renewable Energy Planning Database (REPD) and the Major Power Producers (MPP) dataset. The third is the Energy Saving Trust’s (EST’s) Renewable Heat Database (RHD). Records from the MPP dataset have only been included where they have a fuel type of fossil fuel or nuclear, or where they have a renewable fuel type but their installed capacity is less than 1 MW. This is to avoid overlap with the REPD as much as possible. Records from the RHD have only been included where they output heat only, their installed capacity is 1 MW or higher and they can be shared. The 2020 quarter 4 extract of REPD has been used. MPP data was provided by the UK Government in late 2020. The RHD provides installation information as at end December 2021. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

The Historic Flood Map is a GIS layer showing the maximum extent of individual Recorded Flood Outlines from river, the sea and groundwater springs that meet a set criteria. It shows areas of land that have previously been subject to flooding in England. This excludes flooding from surface water, except in areas where it is impossible to determine whether the source is fluvial or surface water but the dominant source is fluvial.

The majority of records began in 1946 when predecessor bodies to the Environment Agency started collecting detailed information about flooding incidents, although we hold limited details about flooding incidents prior to this date.

If an area is not covered by the Historic Flood Map it does not mean that the area has never flooded, only that we do not currently have records of flooding in this area that meet the criteria for inclusion. It is also possible that the pattern of flooding in this area has changed and that this area would now flood or not flood under different circumstances. Outlines that don’t meet this criteria are stored in the Recorded Flood Outlines dataset.

The Historic Flood Map takes into account the presence of defences, structures, and other infrastructure where they existed at the time of flooding. It will include flood extents that may have been affected by overtopping, breaches or blockages.

Flooding is shown to the land and does not necessarily indicate that properties were flooded internally.

The Scotland Heat Map includes information on the percentage of households in each 2011 Data Zone that are renting their home from a council or a housing association (socially renting). Alongside other heat map datasets, this data is used to identify areas suitable for measures to reduce carbon emissions from heating homes and other buildings. For example, through the creation of heat networks. The 2011 Census provides the total number of households and the number of socially rented households in each 2011 Data Zone. Scotland's census is carried out by National Records of Scotland. Boundaries for Data Zones are created by the Scottish Government. Census data and Data Zone boundaries are updated approximately every 10 years. The Scotland Heat Map is a tool to help plan for the reduction of carbon emissions from heat in buildings. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/ The Scotland's Census website provides details on how the census is carried out and information on accessing publicly available census data, including geographical areas: https://www.scotlandscensus.gov.uk/

Data Updated: 22/11/2024 This dataset contains counts of confirmed UK raptor persecution incidents per 10km square (from 2007 to 2023). It is derived from data collated by the RSPB Investigations Team, a specialist unit set up to assist the statutory agencies with the investigation and prosecution of crimes against wild birds. These data are the most complete centralised set of known confirmed raptor persecution incident data for the UK, and has been recorded consistently for several decades. Only the highest evidentially weighted incidents – those classified as ‘confirmed,’ are included here.‘Confirmed’ incidents are those were circumstances indicate that an illegal act has taken place. These incidents are typically substantiated by evidence such as post-mortem or toxicological analysis, or reliable eyewitness evidence. These figures represent only those incidents known to RSPB: many remain undetected and unreported, particularly those that occur in remote areas. Population studies and scientific reports therefore provide essential bigger picture information on the conservation impact of persecution for a number of raptor species.Toxicology results from the government’s Wildlife Incident Investigation Scheme (WIIS) form the primary source of raptor poisoning data included in these data. In isolated cases toxicology results may be obtained by other routes. The RSPB is the only organisation to present pesticide analysis data in a standardised format to reflect actual raptor persecution incidents.In addition to information received from members of the public, the RSPB would like to acknowledge and thank the following organisations who have contributed information contained in this dataset: - The Agri-Food and Biosciences Institute (AFB NI)- Chemicals Regulations Directorate (CRD)- Food and Environment Research Agency (Fera)- National Wildlife Crime Unit (NWCU)- Predatory Bird Monitoring Scheme (PBMS)- Raptor Study Group workers- The Royal Society for the Prevention of Cruelty to Animals (RSPCA)- Ryedale Wildlife Rehabilitation Centre- Science and Advice for Scottish Agriculture (SASA)- Scottish Society for Prevention of Cruelty to Animals (SSPCA)- Scottish Agricultural College/ Scotland’s Rural College (SAC/SRUC)- Scottish Government Rural Payments and Inspection Directorate (SGRPID)- Scottish Natural Heritage (SNH)- All UK police forces- UK veterinary practices- Welsh Government- The Zoological Society of London (ZSL)This is a un-editable, public 'view' version of the data that is used in the Raptor Persecution Map Hub apps.

All GHiGs datasets cover the whole of Scotland and have been derived by Greenspace Scotland over the project period of September 2020 to April 2021. Principal third party data suppliers include: - Ordnance Survey (greenspace and water body data) - Scottish Government (Scotland's Heat Map) - Energy Saving Trust (Home Analytics) Please reference the Data Guide and Methodology report (attached to the metadata record as an associated resource) and send any further queries on the quality/ accuracy of the data to parkpower@greenspacescotland.org.uk. GHiGs Settlements: A public summary of indicators for GHiGs analysis of low carbon heat based on data aggregated to Scotland's 516 settlements. Settlement boundaries are from 2012 derived from National Records of Scotland to be consistent with those used by Scotland's Heat Map v.2. Settlements are defined as places with populations greater than 500. Approximately 90% of Scotland's population lives in settlements. It is not clear why Scotland's Heat Map is using the NRS 2012 settlement boundaries rather than the more recent NRS 2016 settlement boundaries. Attributes were derived from Scotland's Heat Map with additional attributes from GHiGs analysis and EST Home Analytics GHiGs Settlements by LA: A more comprehensive spreadsheet of tables used for National Findings Report and all indicators for GHiGs analysis of low carbon heat based on data aggregated to Scotland's 516 settlements and, separately, the 32 Local Authorities. Settlement data aggregated to Local Authority geographies and presented based on OS BoundaryLine Local Authority boundaries. The data excludes areas outside settlements and therefore does NOT represent figures for complete local authorities. This is particularly evident for Local Authorities with more significant populations and businesses located outside of settlements. It includes most indicators used in the GHiGs National Findings report based on analysis of low carbon heat related data aggregated to Scotland's 516 settlements and then aggregated to 32 Local Authorities. GHiGs greenspaces: Boundaries derived from OS Mastermap Greenspace. Attributes derived from Scotland's Heat Map v.2 with additional attributes from GHiGs analysis (see our Methodology Report) and EST Home Analytics GHiGs strategic greenspaces: Subset of GHiGs Greenspaces based on selection criteria to identify the 3% (3,446) of national greenspace sites with high potential for supply of ground source heat (based on areal size / capacity) and have been classified as 'high' based on local linear heat density. These sites are likely to be the strongest candidates for larger scale ground source heat solutions, potentially storing and feeding low grade heat into low carbon district heat networks. The 'GSHP_Strategic_Importance' indicator category of 'VERY HIGH' was used to select this subset GHiGs static water bodies: Relatively static water bodies greater than 1000m2 in area in proximity to urban settlements including canals, lochs, lakes, flooded quarries/pits etc. derived largely from OS Mastermap Greenspace. This data does not include rivers. GHiGs DHN highest viability (Linear Heat Density 16000 kWh/m/yr): Linear Heat Density model created by Ramboll to highlight areas where District Heat Networks (DHNs) have highest viability based on heat demand from all buildings. Areas identifies have high levels of heat demand density and are therefore highly suitable for DHNs - source of heat demand data: Scotland's Heat Map v2. GHiGs DHN high viability (Linear Heat Density 8000 kWh/m/yr): Linear Heat Density model created by Ramboll to highlight areas where District Heat Networks (DHNs) have high viability based on heat demand from all buildings - source of heat demand data: Scotland's Heat Map v2. GHiGs DHN viable (Linear Heat Density 4000 kWh/m/yr): Linear Heat Density model created by Ramboll to highlight areas where District Heat Networks (DHNs) are viable based on heat demand from all buildings. Threshold of 4000 is widely used across the industry for Linear Heat Density modelling to identify areas with DHN viability. Polygons of area less than 250m2 were deleted which reduced the number of polygon features by 80% to cut file size. Source of heat demand data: Scotland's Heat Map v2. GHiGs DHN highest viability public buildings only (Linear Heat Density 16000 kWh/m/yr): Linear Heat Density model created by Ramboll based on a best estimate of public buildings to highlight areas where District Heat Networks have highest viable based on heat demand from only public buildings. Source of heat demand data: Scotland's Heat Map v2. GHiGs DHN high viability public buildings only (Linear Heat Density 8000 kWh/m/yr): Linear Heat Density model created by Ramboll based on a best estimate of public buildings to highlight areas where District Heat Networks have high viability based on heat demand from only public buildings. Source of heat demand data: Scotland's Heat Map v2. GHiGs DHN viable public buildings only (Linear Heat Density 4000 kWh/m/yr): Linear Heat Density model created by Ramboll based on a best estimate of public buildings to highlight areas where District Heat Networks are viable based on heat demand from only public buildings. Threshold of 4000 is widely used across the industry for Linear Heat Density modelling to identify areas with DHN viability - source of heat demand data: Scotland's Heat Map v2. GHiGs public buildings: Subset of Scotland's Heat Map at building level where buildings are assessed as likely to be publicly owned based on a selection of 125 OS AddressBase codes (see GHiGs Methodology report for details). This is the best available approximation of publicly owned buildings but will exclude those publicly owned buildings which are leased to third parties for more commercial-type services. This same identification method was the basis for creating the 3 Linear Heat Density map layers for public buildings only. GHiGs public buildings with heat demand greater than 50 MWh/year: Subset of 'GHiGs public buildings' dataset based on a filter for all those public buildings with an annual heat demand of 50 MWh or more. Multi-occupancy buildings like flatted properties are treated as separate buildings and therefore they are unlikely to appear in this dataset. GHiGs public buildings (>200 MWh) near greenspaces (>200 MWh): Subset of 'GHiGs public buildings' dataset where: (1) buildings are assessed as likely to be publicly owned based on a selection of 125 OS AddressBase codes and have a heat demand of at least 200 MWh; AND (2) they are located within 50m of a greenspace that, based on 20% space utilisation, could meet at least 200 MWh in terms of heat production from its available area. In effect this is a subset of public building locations that offers the strongest opportunities for larger scale GSHP projects based on use of nearby greenspace. Multi-occupancy buildings like flatted properties are treated as separate buildings and therefore examples such as high rise flats next to larger areas of greenspace are unlikely to appear in this dataset. GHiGs waste disposal sites: Potential sources of waste heat from waste disposal sites to feed into district heat networks - source: SEPA registered waste sites All GHiGs datasets cover Scotland and have been derived over the project period of September 2020 to April 2021. Principal third party data suppliers include: * Ordnance Survey (greenspace and water body data) * Scottish Government (Scotland's Heat Map) * Energy Saving Trust (Home Analytics)

A PDF map that shows the NHS England Regions in England as at July 2022. (File Size - 166 KB)

National Biodiversity Atlas (NBN) Atlas occurrences for Signal Crayfish Pacifastacus leniusculus. This layer is derived from Signal Crayfish Pacifastacus leniusculus species occurrence data accessed from the NBN Atlas API (https://api.nbnatlas.org/) on 29/04/2024. Record locations are indicated by polygons, the size of the polygon relating to the ‘Coordinate uncertainty in meters’ for each record. The data has also been spatially joined to the CaBA catchment boundaries to allow the data to be easily filtered to local catchment boundaries.

All data providers are acknowledged in the pop up for each occurrence polygon. A full list of data providers can also be accessed here: https://species.nbnatlas.org/species/NHMSYS0000377494#data-partners A full list of records for this species can be found here on the NBN Atlas: https://species.nbnatlas.org/species/NHMSYS0000377494#records

All CC-BY-NC licenced records have been removed from this dataset as these records cannot be used for commercial purposes without prior agreement of the data provider. There may be a significant number of additional records for this species in your area which are covered by a CC-BY-NC licence. To enquire whether it is possible to access these additional records for your area, please get in touch with your local record centre or the NBN Atlas. The boundaries and contact details of local record centres can be viewed on this AGOL layer: https://arcg.is/8vOLK

Records without latitude and longitude coordinates and those records lacking coordinate uncertainty have been removed from this dataset.

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Additional file 7. Heatmap references.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Pakistan data available from WorldPop here.