This dataset contains maps depicting the local area around selected train stations, ferry wharves and lightrail stops. These maps are similar to the ones you might find at a station or stop. Files are in PDF format and grouped by mode.

A PDF map showing Local Skills Improvement Plan Areas as at 31 December 2023 in England. (File Size- 236 KB)

The Rural-Urban Classification is a Government Statistical Service product developed by the Office for National Statistics; the Department for Environment, Food and Rural Affairs; and the Welsh Assembly Government.Source: Office for National Statistics licensed under the Open Government Licence v.3.0.Contains OS data © Crown copyright 2025Links below to FAQ, Methodology and User GuideFAQ https://geoportal.statistics.gov.uk/documents/f359d48424664a1584dca319f3dac97f/aboutMethodology https://geoportal.statistics.gov.uk/documents/833a35f2a1ec49d98466b679ae0a0646/aboutUser Guide https://geoportal.statistics.gov.uk/documents/c8e8e6db38e04cb8937569d74bce277a/about

This dataset contains maps depicting the local area around selected train stations, ferry wharves and lightrail stops. These maps are similar to the ones you might find at a station or stop. Files are in PDF format and grouped by mode.

The Urban Planning Code defines two types of areas for municipal maps: construction sectors and inconstructible sectors. There are, however, special cases in which graphical documents: — may define areas reserved for industrial or craft activities, in particular those incompatible with the neighbourhood of inhabited areas; — define, where appropriate, areas in which the reconstruction of a building destroyed by a disaster is not permitted; — indicate areas where the facilities necessary for public facilities, agricultural or forestry operations and the development of natural resources are not covered by the principle of inconstructibility resulting from classification. The areas of the communal map do not always cover the entire communal territory. The areas of the municipality not covered by a sector are represented by an object in order to cover the whole municipality.

The Urban Planning Code defines two types of areas for municipal maps: construction sectors and inconstructible sectors. There are, however, special cases in which graphical documents: — may define areas reserved for industrial or craft activities, in particular those incompatible with the neighbourhood of inhabited areas; — define, where appropriate, areas in which the reconstruction of a building destroyed by a disaster is not permitted; — indicate areas where the facilities necessary for public facilities, agricultural or forestry operations and the development of natural resources are not covered by the principle of inconstructibility resulting from classification. The areas of the communal map do not always cover the entire communal territory. The areas of the municipality not covered by a sector are represented by an object in order to cover the whole municipality.

Local Access and Transport Area (LATA) boundaries.

For use in creating telephone maps at the state, county, and local levels.

Local Access and Transport Area is a term in the U.S. for a geographic area covered by one or more local telephone companies, which are legally referred to as local exchange carriers (LECs). A connection between two local exchanges within the LATA is referred to as intraLATA. A connection between a carrier in one LATA to a carrier in another LATA is referred to as interLATA. InterLATA is long-distance service. The current rules for permitting a company to provide intraLATA or interLATA service (or both) are based on the Telecommunications Act of 1996.

Source: http://www.puc.state.oh.us/gis/pucodata.cfm

An index to over 600 ground geophysical surveys carried out in the UK for a variety of projects. A large number of these surveys were done in conjunction with the DTI Mineral Reconnaissance Programme in the 1970's and 80's, and many others were carried out at the request of BGS field mapping groups. Information held describes the survey objective, location of measurements, geophysical methods and equipment used, reports and publications, storage locations of data and results (for analogue and digital data), dates and personnel. There are two datasets; one shows the outline of the survey areas, and the other shows the actual survey lines within each area.

This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Map Gallery for Bloomington Historic Resources

Related Maps
Local Historic District Maps
Historic Survey and Study Area Maps

This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).

This vector tile layer presents the World Navigation Map (Local Language) style (World Edition) and provides a basemap for the world, featuring a Navigation style designed for use during the day in mobile devices. This comprehensive street map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This style includes cities, parks, landuse, and road labels displayed with local language in certain areas. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Navigation (Local Language) web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

A global 100 m spatial resolution Local Climate Zone (LCZ) map, derived from multiple earth observation datasets and expert LCZ class labels.

The LCZ map is based on the LCZ typology (Stewart and Oke, 2012) that distinguish urban surfaces accounting for their typical combination of micro-scale land-covers and associated physical properties. The LCZ scheme is distinguished from other land use / land cover schemes by its focus on urban and rural landscape types, which can be described by any of the 17 classes in the LCZ scheme.

Out of the 17 LCZ classes, 10 reflect the 'built' environment, and each LCZ type is associated with generic numerical descriptions of key urban canopy parameters critical to model atmospheric responses to urbanisation. In addition, since LCZs were originally designed as a new framework for urban heat island studies (Stewart and Oke, 2012), they also contain a limited set (7) of 'natural' land-cover classes that can be used as 'control' or 'natural reference' areas. As these seven natural classes in the LCZ scheme can not capture the heterogeneity of the world’s existing natural ecosystems, we advise users - if required - to combine the built LCZ classes with any other land-cover product that provides a wider range of natural land-cover classes.

Stewart ID, Oke TR. (2012). Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Large scale final map products were created within ArcMap and designed to show both the orthophoto coverage and the vegetation maps. For the vegetation maps, colors were assigned and the polygons labeled with the dominant vegetation and modifier and, where present, the second vegetation and modifier. For the orthophoto maps, the photos were simply plotted at the same scale and area coverage as the vegetation maps. Additional planimetric map data included roads, trails, hydrology, boundaries and a UTM coordinate grid. Legends are designed to provide full definitions of the vegetation and buffer classes and modifiers, as well as information about the park, map projection, data sources and authorship. All maps are projected to the Universal Transverse Mercator Coordinate System, North American Datum of 1984, in the local zone for the specific park Map information- Veg Classes: 35 Polygons: 7,907 Avg Polygon size(ha) 2.58 Map Scale: 1:26,000

This map compares the number of people living above the poverty line to the number of people living below. Why do this?There are people living below the poverty line everywhere. Nearly every area of the country has a balance of people living above the poverty line and people living below it. There is not an "ideal" balance, so this map makes good use of the national ratio of 6 persons living above the poverty line for every 1 person living below it. Please consider that there is constant movement of people above and below the poverty threshold, as they gain better employment or lose a job; as they encounter a new family situation, natural disaster, health issue, major accident or other crisis. There are areas that suffer chronic poverty year after year. This map does not indicate how long people in the area have been below the poverty line. "The poverty rate is one of several socioeconomic indicators used by policy makers to evaluate economic conditions. It measures the percentage of people whose income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs." Source: U.S. Census BureauIn the U.S. overall, there are 6 people living above the poverty line for every 1 household living below. Green areas on the map have a higher than normal number of people living above compared to below poverty. Orange areas on the map have a higher than normal number of people living below the poverty line compared to those above in that same area.The map shows the ratio for counties and census tracts, using these layers, created directly from the U.S. Census Bureau's American Community Survey (ACS)For comparison, an older layer using 2013 ACS data is also provided.The layers are updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status is based on income in past 12 months of survey. Current Vintage: 2014-2018ACS Table(s): B17020Data downloaded from: Census Bureau's API for American Community Survey National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

National Ecosystem and Ecosystem Services Map – Key factors for ecosystem service mapping: Contribution to ecological networks. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).A raster dataset detailing to how many ecological networks an area contributes. Networks considered are the grassland, woodland, wetland, and upland network.

This dataset is part of a dataset series that establishes an ecosystem service maps (national scale) for a set of services prioritised through stakeholder consultation and any intermediate layers created by Environment Systems Ltd in the cause of the project. The individual dataset resources in the datasets series are to be considered in conjunction with the project report: https://www.npws.ie/research-projects/ecosystems-services-mapping-and-assessment

The project provides a National Ecosystem and Ecosystem Services (ES) map for a suite of prioritised services to assist implementation of MAES (Mapping and Assessment of Ecosystems and their services) in Ireland.

This involves stakeholder consultation for identification of services to be mapped, the development of a list of indicators and proxies for mapping, as well as an assessment of limitations to ES mapping on differing scales (Local, Catchment, Region, National, EU) based on data availability. Reporting on data gaps forms part of the project outputs.

The project relied on the usage of pre-existing data, which was also utilised to create intermediate data layers to aid in ES mapping. For a full list of the data used throughout the project workings, please refer to the project report....

Nigeria Local Government Area Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from GRID3 Nigeria. These were published in October 2023. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available: Country State

This dataset summarises information from WWT's wetland potential mapping at the WFD waterbody catchment (catchment) level. Data from multiple layers are pulled together to allow visualisation of the relative potential for wetlands across catchments of Great Britain. Specifically, it includes data from the WWT 'wetlands for water quality', 'wetlands for carbon storage', 'wetlands for flood resilience' and 'wetlands for urban wellbeing' indicative wetland potential maps, and from the Combined 'multi-benefit' wetland potential map, which amalgamates these four layers. It is recommended that users view these layers alongside the layers created from this dataset.The absence of mapped wetland potential in a catchment does not necessarily mean there is no potential to create wetlands, nor a lack of issues that wetland solutions could be used to address. Wetland potential was only mapped within 'demand' areas where there is a greater need for wetland solutions.This dataset includes the following information:UK Water Framework Directive (WFD) status and waterbody identifiers (for waterbodies in England, Wales and Scotland).Summary information on the total indicative wetland potential (from the four wetland potential maps) per catchment, including the total area (in hectares) and percentage cover of wetland potential across the catchment area.Total area and percentage cover of 'wetlands for flood resilience' and 'wetlands for water quality' potential per catchment. Number of potential 'wetlands for flood resilience' and 'wetlands for water quality' parcels per catchment (figures may be arbitrary due to intersects used to summarise wetland potential).Priority 'demand' catchments for potential 'wetlands for water quality'. Priority 'demand' catchments for potential 'wetlands for flood resilience'. Percentage change in household projections for 2018-2041, per catchment (averaged across Local Authorities and Higher Administrative areas (England & Wales) and Council areas (Scotland)).Average number of new builds (averaged across Local Authorities) built in 2021-2022, per catchment.WWT are calling for the creation of 100,000 hectares of new and restored wetlands in the UK by 2050. This dataset is a part of WWT’s Roadmap to 100,000 hectares project, which aims to assess both the spatial and economic potential for large-scale wetland restoration targeted at tackling some of the key issues faced by UK society. The work has a particular focus on four themes where wetlands can provide solutions, namely (1) wetlands for carbon storage (specifically saltmarsh for blue carbon), (2) wetlands for urban wellbeing, (3) wetlands for flood resilience, and (4) wetlands for water quality. Wetland potential for water quality, carbon storage, flood resilience and urban wellbeing has been mapped.Full methodology can be found here. Attributes:

Heading

Description

wb_id

ID number of the WFD waterbody

wb_name

Name of the WFD waterbody

country

UK country in which the WFD waterbody is located

WFD_class

WFD status classification of the waterbody

ovl_p_ha

Total area of wetland potential (from all four WWT wetland potential layers) in the catchment, in hectares

percnt_ovl

Total area of wetland potential (from all four WWT wetland potential layers) in the waterbody, as a percentage of the catchment area

count_ovl

Number of wetland potential parcels located in the catchment (arbitrary value)

nfm_p_ha

Total area of 'wetlands for flood resilience' potential in the catchment, in hectares

percnt_nfm

Total area of 'wetlands for flood resilience' potential in the catchment, as a percentage of the catchment area

count_nfm

Number of 'wetlands for flood resilience' parcels located in the catchment

wq_p_ha

Total area of 'wetlands for water quality' potential in the catchment

percnt_wq

Total area of 'wetlands for water quality' potential in the catchment, as a percentage of the catchment area

count_wq

Number 'wetlands for water quality' parcels located in the catchment

priorit_wq

Priority 'demand' catchments for 'wetlands for water quality' (1 = 'demand' catchment')

prior_nfm

Priority 'demand' catchments for 'wetlands for flood resilience' (1 = 'demand' catchment')

Av_percent

Percentage change in household predictions from 2018 - 2041 averaged across Local Authorities within the catchment

Av_nb_2122

Number of new builds (2021-22) per catchment (average across Local Authorities within the catchment)

description:

TOXMAP is a Geographic Information System (GIS) that uses maps of the United States and Canada to help users visually explore data primarily from the EPA's Toxics Release Inventory (TRI) and Superfund Program, as well as some non-EPA datasets. TOXMAP helps users create nationwide, regional, or local area maps showing where TRI chemicals are released on-site into the air, water, and ground. It also provides facility and release details, color-codes release amounts for a single year or year range, and aggregates release data over multiple years. Maps also show locations of Superfund National Priorities List (NPL) sites, listing all chemical contaminants present at these sites. Two versions of TOXMAP are available: the classic version of TOXMAP released in 2004, and a new version of TOXMAP based on Adobe Flash/Flex technology. The new version provides an improved map appearance and interactive capabilities and additional datasets such as EPA coal plant emissions data and U.S. commercial nuclear power plants.

TOXMAP is a Geographic Information System (GIS) that uses maps of the United States and Canada to help users visually explore data primarily from the EPA's Toxics Release Inventory (TRI) and Superfund Program, as well as some non-EPA datasets. TOXMAP helps users create nationwide, regional, or local area maps showing where TRI chemicals are released on-site into the air, water, and ground. It also provides facility and release details, color-codes release amounts for a single year or year range, and aggregates release data over multiple years. Maps also show locations of Superfund National Priorities List (NPL) sites, listing all chemical contaminants present at these sites. Two versions of TOXMAP are available: the classic version of TOXMAP released in 2004, and a new version of TOXMAP based on Adobe Flash/Flex technology. The new version provides an improved map appearance and interactive capabilities and additional datasets such as EPA coal plant emissions data and U.S. commercial nuclear power plants.

The Access Network Map of England is a national composite dataset of Access layers, showing analysis of extent of Access provision for each Lower Super Output Area (LSOA), as a percentage or area coverage of access in England. The ‘Access Network Map’ was developed by Natural England to inform its work to improve opportunities for people to enjoy the natural environment. This map shows, across England, the relative abundance of accessible land in relation to where people live. Due to issues explained below, the map does not, and cannot, provide a definitive statement of where intervention is necessary. Rather, it should be used to identify areas of interest which require further exploration. Natural England believes that places where people can enjoy the natural environment should be improved and created where they are most wanted. Access Network Maps help support this work by providing means to assess the amount of accessible land available in relation to where people live. They combine all the available good quality data on access provision into a single dataset and relate this to population. This provides a common foundation for regional and national teams to use when targeting resources to improve public access to greenspace, or projects that rely on this resource. The Access Network Maps are compiled from the datasets available to Natural England which contain robust, nationally consistent data on land and routes that are normally available to the public and are free of charge. Datasets contained in the aggregated data:•
Agri-environment scheme permissive access (routes and open access)•
CROW access land (including registered common land and Section 16)•
Country Parks•
Cycleways (Sustrans Routes) including Local/Regional/National and Link Routes•
Doorstep Greens•
Local Nature Reserves•
Millennium Greens•
National Nature Reserves (accessible sites only)•
National Trails•
Public Rights of Way•
Forestry Commission ‘Woods for People’ data•
Village Greens – point data only Due to the quantity and complexity of data used, it is not possible to display clearly on a single map the precise boundary of accessible land for all areas. We therefore selected a unit which would be clearly visible at a variety of scales and calculated the total area (in hectares) of accessible land in each. The units we selected are ‘Lower Super Output Areas’ (LSOAs), which represent where approximately 1,500 people live based on postcode. To calculate the total area of accessible land for each we gave the linear routes a notional width of 3 metres so they could be measured in hectares. We then combined together all the datasets and calculated the total hectares of accessible land in each LSOA. For further information about this data see the following links:Access Network Mapping GuidanceAccess Network Mapping Metadata Full metadata can be viewed on data.gov.uk.