In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Open spaces of conservation and recreation interest in Boston, Massachusetts, USA, regardless of ownership.

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 meters fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster-Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95\%, which was mainly influenced by the uncertainty of the public accessibility model.

OS Open Greenspace depicts the location and extent of spaces such as parks and sports facilities that are likely to be accessible to the public. Where appropriate, it also includes access points to show how people get into these sites. Open Greenspace consists of the following classifications:Public parks or gardensPlay spacesGolf coursesSports areas or playing fieldsChurchyards or burial groundsAllotments or community growing spacesIts primary purpose is to enable members of the public to find and access green spaces near them for exercise and recreation. Find out more about the uses and case studies surrounding Greenspace on the dedicated OS Open Greenspace webpage, and technical information about the greenspaces it contains and how to use them in our detailed specification.Who's using OS Open Greenspace?Innovators - Britain’s most comprehensive Open dataset of greenspaces underpins a range of apps, products and innovations - providing the foundation to help create greener and healthier communities.Public sector (Public Health England) - Incorporated as a layer into SHAPE, the dataset has been used alongside asset location data (GPs, pharmacies, schools) and indicator data (population and deprivation), to help inform and support the strategic planning of services and physical assets across the health economy.Emergency services - A vital tool in helping our emergency services, OS Open Greenspace includes site use and access points, making it quicker to get to emergency situations.The currency of the data is April 2025 and has a six-monthly update cycle (April and October). This data has been sourced from the OS and Esri UK claim no ownership of the data.

OS Open Greenspace depicts the location and extent of spaces such as parks and sports facilities that are likely to be accessible to the public. Where appropriate, it also includes access points to show how people get into these sites. Open Greenspace consists of the following classifications:Public parks or gardensPlay spacesGolf coursesSports areas or playing fieldsChurchyards or burial groundsAllotments or community growing spacesIts primary purpose is to enable members of the public to find and access green spaces near them for exercise and recreation. Find out more about the uses and case studies surrounding Greenspace on the dedicated OS Open Greenspace webpage, and technical information about the greenspaces it contains and how to use them in our detailed specification.Who's using OS Open Greenspace?Innovators - Britain’s most comprehensive Open dataset of greenspaces underpins a range of apps, products and innovations - providing the foundation to help create greener and healthier communities.Public sector (Public Health England) - Incorporated as a layer into SHAPE, the dataset has been used alongside asset location data (GPs, pharmacies, schools) and indicator data (population and deprivation), to help inform and support the strategic planning of services and physical assets across the health economy.Emergency services - A vital tool in helping our emergency services, OS Open Greenspace includes site use and access points, making it quicker to get to emergency situations.The currency of the data is April 2025 and has a six-monthly update cycle (April and October). This data has been sourced from the OS and Esri UK claim no ownership of the data.

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Learn more about the project and how to use the canopy assessment data by visiting the StoryMap!

Data Dictionary

Green space right-of-way – Public domain assimilated plot Area managed by the Directorate of Green Spaces and the Environment, enclosed and generally designated green space. The Road Map of Paris: **** The Paris Road Plan (PVP) is intended for the technical instruction of projects on the public highway, in accordance with the road regulations in force. Each object in the public space is represented by a symbol referenced in the topographic graphic charter. The original planimetric coordinate system of the PVP is the Lambert I-54 (City of Paris), re-projected into RGF93.CC49 and RGF93 – Lambert 93 (WKID 2154) into the City’s information system and then into the WGS84 Web Mercator Auxiliary Sphere (WKID 3857) international coordinate system. For this reason, the data presented here cannot be the subject of topographical work. Updates to the Roadmap are now established directly in the legal coordinates system: NGF.IGN69 in altimetry and RGF93.CC49 in planimetry. In accordance with the road regulations, all stakeholders in the public domain are required to submit their recovery plans to the Road Plans Division (DPV) within a maximum of 21 working days after completion of the work. The DPV updates road plans based on the feedback of this information. The volume of transformations of public space in recent years makes it impossible to guarantee the complete updating of the 60 layers of thematic data on the entire territory of Paris. As part of a localised project, impacting the road domain (Public Domain Occupation – Cited), PVP data can be obtained from the Broadcast Office of the Road Plans Division by courier at the following address: pvp.dvd@paris.fr

This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).

1. Cultural Ecosystem Services (CES) encompass a range of social, cultural and health benefits to local communities, for example recreation, spirituality, a sense of place and local identity. However, these complex and place-specific CES are often overlooked in rapid land management decisions and assessed using broad, top–down approaches. 2. We use the Toolkit for Ecosystem Service Site-based Assessment (TESSA) to examine a novel approach to rapid assessment of local CES provision using inductive, participatory methods. We combined free-listing and participatory geographic information systems (GIS) techniques to quantify and map perceptions of current CES provision of an urban green space. The results were then statistically compared with those of a proposed alternative scenario with the aim to inform future decision-making. 3. By identifying changes in the spatial hotspots of CES in our study area, we revealed a spatially-specific shift toward positive sentiment regarding several CES under the alternative state with variance across demographic and stakeholder groups. Response aggregations in areas of proposed development reveal previously unknown stakeholder preferences to local decision-makers and highlight potential trade-offs for conservation management. Free-listed responses revealed deeper insight into personal opinion and context. 4. This work serves as a useful case study on how the perceptions and opinions of local people regarding local CES could be accounted for in the future planning of an urban greenspace and how thorough analysis of CES provision is important to fully-inform local-scale conservation and planning for the mutual benefit of local communities and nature.

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest and Grass & Herbaceous. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Dataset Name: Greenspace NI LayerData Owner: Outdoor Recreation NIContact: emma.taylor@outdoorrecreationni.comSource URL: https://www.outdoorrecreationni.com/news/greenspaceni-map/Uploaded to SPACE Hub: 04/07/23Update Frequency: AnnualScale Threshold: N/AProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonNotes: The Department of Agriculture, Environment and Rural Affairs (DAERA) and the Department for Infrastructure (DfI) on behalf of the cross-government Strategic Outdoor Recreation Group (SORG) commissioned Outdoor Recreation Northern Ireland (ORNI) to create a Greenspace Layer. ORNI have commissioned Geolytical to help with delivering an authoritative map of all off-road trails and publicly accessible greenspace.The Greenspace NI Map is designed so:The target of 'Annual increase of the population within a 5-minute walk of quality green/blue space' proposed for PfG and other strategies can be objectively measured;It can be used by government departments and agencies, Councils, and eNGOs, for infrastructure planning, gap analysis, resource allocation, site suitability assessments and demographic analysis (e.g., health and deprivation etc);The data will be published on SpatialNI, OpenDataNI, and on occasions, OutmoreNI.The Greenspace Map is comprised of 3 layers – NI Greenspace LayerNI Greenspace Access PointsNI Off-Road Trails NI Greenspace Layer contains Parks, Forests, Nature Reserves, Open Country and Amenity Greenspaces which are open and accessible to the public. The Access Points to these areas of Greenspace, Bluespaces and Off-Road Trails will be published as a separate layer.What is a Greenspace? For each polygon in the Greenspace Layer, a set of criteria must be met:The area must be at least 0.5 hectares (a higher limit of 2 hectares has been set for analysis).It must be an area of natural green space (some polygons may include areas of non-natural land).It must have public access (in some cases there may be restricted access or be behind a paywall). How has the Greenspace layer been created?This layer has been created by harmonising, combining and enhancing data from our data providers - Ordnance Survey NI, NIEA, Outdoor Recreation Northern Ireland, DAERA, Antrim and Newtownabbey Borough Council, Armagh City, Banbridge and Craigavon Borough Council, Belfast City Council, Causeway Coast and Glens Borough Council, Derry City and Strabane District Council, Fermanagh and Omagh District Council, Lisburn and Castlereagh City Council, Mid and East Antrim Borough Council, Mid Ulster District Council, Newry, Mourne and Down District Council, National Trust, Forest Service NI, Woodland Trust, Ulster Wildlife, NI Housing Executive.Data has been provided in a range of different formats: polygons, spreadsheets and points were provided each with varying levels of accuracy and attributes. Each has been refined and verified (where shown in the attribute table) to create a comprehensive layer of Greenspaces.Who's using the Greenspace Map?The Greenspace map can be used by anyone who has access to a Geographical Information System (GIS). Some examples of appropriate use of this data are listed below: Public sector - Incorporated as a layer, the dataset can be used alongside asset location data (GPs, pharmacies, schools) and indicator data (population and deprivation), to help inform and support the strategic planning of services and physical assets across the health economy. Innovators and researchers - NI's most comprehensive Open dataset of greenspaces can be used in a range of apps, products and innovations - providing the foundation to help create greener and healthier communities.FeedbackThink somewhere is missing from the data? Spot an inaccuracy in the attribution? Make us aware by emailing emma.taylor@outdoorrecreationni.comIf you have any further questions about the product, or would like to get in contact with a member of our support team, please reach out via our website.Currency and update frequencyThe currency of the product is June 2023 and has an annual update cycle.Usage and DisclaimerThe greenspace layer has been created with the most recent data available at time of publishing. Best efforts have been made in the production of the Greenspace NI Map to ensure the accuracy of the data, however as the data has come from a range of capture methodologies and scales, they may not reflect actual positional accuracy on the ground. There may also be a time lag between the content of the map at the time of creation and changes made on the ground. These layers should not be used to determine exact boundaries of land ownership. Where 'source' of data is outlined, it should be noted that this is the supplier of the data input, it does not define ownership of the area. However, in some cases the source may be the landowner also. Some assumptions and generalisations have been made to make the mapping process more feasible - polygons, points and lines have been aligned to Ordnance Survey NI maps. Exact details of each polygon, point or polyline have not undergone field validation so discrepancies may occur. Although the layer only includes land where the public have access, not every polygon or polyline has complete public access and some areas may have restricted access. ORNI and its providers of open and derived data will not be held responsible for any loss, damage or inconvenience of any nature caused as a result of any inaccuracy or error within the data.

This dataset provides indicators for 249 public green spaces (at least 0.25 ha) in the city of Leipzig, Germany, and total scores for natural elements, built elements (infrastructure) and context, as well as an total quality score on the individual park level representing the potential supply of recreational ecosystem services. The quality score is also depicted in regular hexagons of 0.25 square kilometers. All data is supplement to the original linked publication. List of data and content Parks_Indicators: vector files (*.shp, .geojson), field description (.csv) Parks_Scores: vector files (*.shp, .geojson), field description (.csv) Parks_Scores_RGB: raster file (.tif), readme file (.txt) QualityScore_Hexagons: vector files (*.shp, .geojson), readme file (.txt) Spatial reference All data is projected in ETRS 1989 UTM Zone 33N (EPSG:25833) Web-GIS View data and explore interactively using this online application. Data sources and processing For details on underlying data sources (e.g. availabilty, spatial resolution, time reference) and on data processing please refer to the linked publication, incl. Appendix 1 Acknowledgments We thank Terra Concordia and the City of Leipzig for providing data. We greatly acknowledge OpenStreetMap and contributers for providing important parts of the data. This work was supported by the research project “Environmental‐Health Interactions in Cities (GreenEquityHEALTH) ‐ Challenges for Human Well‐Being under Global Changes” (project duration 2017–2022), funded by the German Federal Ministry of Education and Research (BMBF; no.01LN1705A). Related publication Kraemer, R., & Kabisch, N. (2021). Parks in context: Advancing citywide spatial quality assessments of urban green spaces using fine-scaled indicators. Ecology and Society, 26(2). https://doi.org/10.5751/ES-12485-260245

This service displays data from the dataset identifying greenspace areas for all urban areas >3000 population as per Census 2001 Output Areas, with a 500m buffer applied to the urban fringe. Each polygon is attributed with a Primary Land Use and, where applicable, a Secondary Land Use. Greenspace is defined by the typology given in Planning Advice Notice 65 (PAN65).

Open Space and Preserve Maps.

Due to the rapid growth of urbanization, species biodiversity is threatened and the innate relationship between humans and nature begins to fade gradually. Urban green spaces play a vital role in reconnecting human and urbanized landscape with its unique characteristics. Meanwhile, virtual gaming technology with applied geographic information has made a spectacular process to promote interactions between humans and their surroundings. Five types of green space were identified in the University of British Columbia Vancouver campus: lawn, planting bed, planting bed on structure, athletic field, and urban forest. A novel approach of combining Light Detection and Ranging (LiDAR) data, ground-based inventory data, geographic information system (GIS) data, and geocoordinates derived from reality game Pokémon GO was applied to explore geospatial gaming technology’s application in mapping cultural use and biodiversity hotspots at a university campus. LiDAR-derived individual tree crown polygons contributed to estimate canopy cover. Manually delineated tree crown from the study area's orthophoto was used to compare the crown area accuracy with LiDAR technology. The point density heat map illustrated the study area's cultural interests, which were generated by Pokestops' geospatial coordinates. A dataset containing two green space assessments was conducted with various factors: native species ratio, species richness, canopy cover, and cultural interest. Both assessments highlighted the importance of urban forest. This green space type achieved 0.396 in the first assessment and 0.501 for the second assessment of cultural and biodiversity values.

The map of the Berlin greenery stock contains the public green areas mainly maintained by the district garden offices including green and recreational facilities dedicated to the Green Areas Act. This includes the public playgrounds, which are shown in yellow in the map. For the individual green areas in the map, material data are available for a large part of the areas. Other categories of green space, such as green areas on dedicated public road land (including gardened city squares), green areas in cemeteries, in small garden areas, in public buildings, open spaces at schools, daycare centres and baths as well as sports areas incl. Frame green is usually not shown in the map. The graphic data of the card as well as the material data stored by the card are stored by the district garden offices are created and continuously updated. The map provided here as part of the website “Stadtgrün” based on district data and updated by the Senate Department of Urban Development at least once a year. The exact and up-to-date list of dedicated public green and recreational facilities can be consulted at the district garden offices.

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each.

The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer includes permanently protected open space parcels in towns in Phase 1 that meet the CTDEP's definition for this project, the Permanently Protected Open Space Mapping (CT POSM) Project. The CTDEP defines permanently protected open space as (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non facility-based outdoor recreations, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities.

Towns in Phase 1 of the CT POSM project are situated along the CT coast and portions of the Thames River and are the following: Branford, Bridgeport, Chester, Clinton, Darien, Deep River, East Haven, East Lyme, Essex, Fairfield, Greenwich, Groton, Guilford, Hamden, Ledyard, Lyme, Madison, Milford, Montville, New Haven, New London, North Branford, North Haven, Norwalk, Norwich, Old Lyme, Old Saybrook, Orange, Preston, Shelton, Stamford, Stonington, Stratford, Waterford, West Haven, Westbrook, Westport.

For the purposes of the project a number of categories or classifications of open space have also been created. These include: Land Trust, Land Trust with buidlings, Private, Private with buildings, Utility Company, Utility Company with buildings, Federal, State, Municipal, Municipal with buildings, Conservation easement, and non-DEP State land. The layer is based on information from various sources collected and compiled during the period from August 2002 trhough October 2003. These sources include municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions on the date of research at each city or town hall.

The Protected Open Space Phase1 layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town's Assessor lot numbering system, and system-defined (automatically generated) fields. In addition, the Protected_Open_Space_Phase1 layer has an accompanying table containing more detailed information about each parcel's collection, standardization and storage. This table is called Protected Open Space Phase1 Data and can be joined to Protected Open Space Phase1 in ArcMap using the parcel ID (PAR_ID) field. Detailed information includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the project-specific parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, acreage collected during site reconaissance and the data source. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygon feature type that represent the best available locational information, i.e. "best fit" to the land base available for each.

Phase 1 of the Protected Open Space Mapping (POSM) Project was accomplished by a contractor using only a querying process to identify open space. The contractor obtained assessor's data from the various towns and created programs to cull open space parcels strictly by query processes. We have found many errors and omissions in the data, but at this point in the project we cannot revisit all the coastal towns. Therefore, this data is being sent with a disclaimer for accuracy. You are welcome to use it but not to publish it. Please note that we do not include any water company parcels despite them being listed as part of our criteria because we must first obtain written clarification and clearance from the U.S. Department of Homeland Security.

We have since changed our data collection method for Phase 2 of this project. DEP staff now visit each town hall and thoroughly research the land records. The project is expected to be complete by 2010.

This data set contains protected open space and recreation areas owned in fee simple interest by the State of New Jersey Department of Environmental Protection (NJDEP). Types of property in this data layer include parcels such as parks, forests, historic sites, natural areas and wildlife management areas. The data was derived from a variety of source maps including tax maps, surveys and even hand-drafted boundary lines on USGS topographic maps. These source materials vary in scale and level of accuracy. Due to the varied mapped sources and methods of data capture, this data set is limited in its ability to portray all open space lands accurately, particularly the parcels purchased prior to 1991.

© NJDEP Green Acres, Edition 20180223

Data representing all parks and open space in Winnipeg, including the spatial boundaries, names, area, and addresses. To view the polygon maps of the data, please see the map form at https://data.winnipeg.ca/Parks/Park-And-Open-Space/tug6-p73s