Export des données disponibles dans la base de données Open Street map à partir de l'extraction réalisée de manière hebdomadaire par Geofabrik. Cette extraction peut être importée dans des outils du type Osmium, Osmosis, imposm, osm2pgsql, mkgmap ou dans des outils SIG de type ArcGis ou Quantis.

Il s'agit ici de l'extraction de la base de données collaborative produite par le projet OpenStreetMap. Cette base de données est extrêmement riche et principalement centrée sur l'activité humaine : routes, rues, chemins, points d'intérêts extrêmement variés (mairies, églises, services administratifs, points touristiques, commerces, etc.), etc. Le projet OpenStreetMap est en quelque sorte le wikipedia de la cartographie.

OpenStreetMap offers an online map (and spatial database) which is updated by the minute. Various online maps are based on OpenStreetMap including Navigation tools such as OSRM. Tools and services allow data extracts for GIS specialists, Routable Garmin GPS data, Smartphone GPS navigation, and other device-compatible downloads. With an internet connection, regular syncing is possible with open access to the community contributed data as it comes in, with OpenStreetMap's bulk data downloads ideal for use offline. In addition, maps can also be printed to paper.Browse the Activation Area to get a feel for the data that is currently available. Different map styles including an Humanitarian style can be selected on the right side, and some data may not render (appear) on the map, but could be exported from the underlying database (See export section below).

OpenStreetMap offers an online map (and spatial database) which is updated by the minute. Various online maps are based on OpenStreetMap including Navigation tools such as OSRM. Tools and services allow data extracts for GIS specialists, Routable Garmin GPS data, Smartphone GPS navigation, and other device-compatible downloads. With an internet connection, regular syncing is possible with open access to the community contributed data as it comes in, with OpenStreetMap's bulk data downloads ideal for use offline. In addition, maps can also be printed to paper.Browse the Activation Area to get a feel for the data that is currently available. Different map styles including an Humanitarian style can be selected on the right side, and some data may not render (appear) on the map, but could be exported from the underlying database (See export section below).

OpenStreetMap offers an online map (and spatial database) which is updated by the minute. Various online maps are based on OpenStreetMap including Navigation tools such as OSRM. Tools and services allow data extracts for GIS specialists, Routable Garmin GPS data, Smartphone GPS navigation, and other device-compatible downloads. With an internet connection, regular syncing is possible with open access to the community contributed data as it comes in, with OpenStreetMap's bulk data downloads ideal for use offline. In addition, maps can also be printed to paper.Browse the Activation Area to get a feel for the data that is currently available. Different map styles including an Humanitarian style can be selected on the right side, and some data may not render (appear) on the map, but could be exported from the underlying database (See export section below).

Export der in der Open Street Map-Datenbank verfügbaren Daten aus der wöchentlichen Extraktion durch Geofabrik. Diese Extraktion kann in Tools wie Osmium, Osmosis, imposm, osm2pgsql, mkgmap oder in GIS-Tools vom Typ ArcGis oder Quantis importiert werden.

Hierbei handelt es sich um die Extraktion der kollaborativen Datenbank, die vom OpenStreetMap-Projekt erstellt wurde. Diese Datenbank ist sehr reichhaltig und konzentriert sich hauptsächlich auf menschliche Aktivitäten: Straßen, Straßen, Wege, Sehenswürdigkeiten (Maireien, Kirchen, Verwaltungsdienste, Touristenpunkte, Geschäfte usw.) usw. Das OpenStreetMap-Projekt ist in gewisser Weise die Wikipedia der Kartierung.

OHDR has published Natural Areas in Guinea on their website in support of the Ebola crisis. Data collected for the 2014 West Africa Ebola Response, an Activation of the Humanitarian OSM Team to provide map data to assist the response to this disease outbreak. OpenStreetMap offers an online map (and spatial database) which is updated by the minute. Various online maps are based on OpenStreetMap including Navigation tools such as OSRM. Tools and services allow data extracts for GIS specialists, Routable Garmin GPS data, Smartphone GPS navigation, and other device-compatible downloads. With an internet connection, regular syncing is possible with open access to the community contributed data as it comes in, with OpenStreetMap's bulk data downloads ideal for use offline. In addition, maps can also be printed to paper.Browse the Activation Area to get a feel for the data that is currently available. Different map styles including an Humanitarian style can be selected on the right side, and some data may not render (appear) on the map, but could be exported from the underlying database (See export section below).

OpenStreetMap offers an online map (and spatial database) which is updated by the minute. Various online maps are based on OpenStreetMap including Navigation tools such as OSRM. Tools and services allow data extracts for GIS specialists, Routable Garmin GPS data, Smartphone GPS navigation, and other device-compatible downloads. With an internet connection, regular syncing is possible with open access to the community contributed data as it comes in, with OpenStreetMap's bulk data downloads ideal for use offline. In addition, maps can also be printed to paper.Browse the Activation Area to get a feel for the data that is currently available. Different map styles including an Humanitarian style can be selected on the right side, and some data may not render (appear) on the map, but could be exported from the underlying database (See export section below).

OpenStreetMap offers an online map (and spatial database) which is updated by the minute. Various online maps are based on OpenStreetMap including Navigation tools such as OSRM. Tools and services allow data extracts for GIS specialists, Routable Garmin GPS data, Smartphone GPS navigation, and other device-compatible downloads. With an internet connection, regular syncing is possible with open access to the community contributed data as it comes in, with OpenStreetMap's bulk data downloads ideal for use offline. In addition, maps can also be printed to paper.Browse the Activation Area to get a feel for the data that is currently available. Different map styles including an Humanitarian style can be selected on the right side, and some data may not render (appear) on the map, but could be exported from the underlying database (See export section below).

The database is the culmination of an effort by Andrew Douglas-Clifford (The Map Kiwi) to create a comprehensive open dataset of Te Reo Māori place names in OpenStreetMap (OSM). This layer is an extract of the OpenStreetMap database for the place names in New Zealand that are tagged with a Māori name. Please note that the layer excludes places with English only names.This dataset includes the following:Settlements: cities, towns, villages, hamlets, localities and islands, with English and Māori names.Waterways: rivers, streams, canals, drains and tidal channels.Water Bodies: Lakes and some bays.Mountain Peaks (with elevation)The source field (when known) is populated from a combination of OpenStreetMap tags and additional source lookups (note it may contain sources for the geometry rather than name in some cases).See an interactive map with these names, or buy a print map on The Map Kiwi website, where you can also provide feedback or suggestions for this layer.

This layer contains information extracted from OpenStreetMap. The inclusion of information within this dataset should not be considered as an indication that the name is official or authoritative. While reasonable efforts have been made to ensure that the information contained within this map is accurate, the author is not responsible for any errors or inaccuracies.Any use of this data must be accompanied with attribution to '© OpenStreetMap contributors'. Data was last exported from OpenStreetmap January 2025.

Reason for SelectionProtected natural areas in urban environments provide urban residents a nearby place to connect with nature and offer refugia for some species. They help foster a conservation ethic by providing opportunities for people to connect with nature, and also support ecosystem services like offsetting heat island effects (Greene and Millward 2017, Simpson 1998), water filtration, stormwater retention, and more (Hoover and Hopton 2019). In addition, parks, greenspace, and greenways can help improve physical and psychological health in communities (Gies 2006). Urban park size complements the equitable access to potential parks indicator by capturing the value of existing parks.Input DataSoutheast Blueprint 2024 extentFWS National Realty Tracts, accessed 12-13-2023Protected Areas Database of the United States(PAD-US):PAD-US 3.0national geodatabase -Combined Proclamation Marine Fee Designation Easement, accessed 12-6-20232020 Census Urban Areas from the Census Bureau’s urban-rural classification; download the data, read more about how urban areas were redefined following the 2020 censusOpenStreetMap data “multipolygons” layer, accessed 12-5-2023A polygon from this dataset is considered a beach if the value in the “natural” tag attribute is “beach”. Data for coastal states (VA, NC, SC, GA, FL, AL, MS, LA, TX) were downloaded in .pbf format and translated to an ESRI shapefile using R code. OpenStreetMap® is open data, licensed under theOpen Data Commons Open Database License (ODbL) by theOpenStreetMap Foundation (OSMF). Additional credit to OSM contributors. Read more onthe OSM copyright page.2021 National Land Cover Database (NLCD): Percentdevelopedimperviousness2023NOAA coastal relief model: volumes 2 (Southeast Atlantic), 3 (Florida and East Gulf of America), 4 (Central Gulf of America), and 5 (Western Gulf of America), accessed 3-27-2024Mapping StepsCreate a seamless vector layer to constrain the extent of the urban park size indicator to inland and nearshore marine areas <10 m in depth. The deep offshore areas of marine parks do not meet the intent of this indicator to capture nearby opportunities for urban residents to connect with nature. Shallow areas are more accessible for recreational activities like snorkeling, which typically has a maximum recommended depth of 12-15 meters. This step mirrors the approach taken in the Caribbean version of this indicator.Merge all coastal relief model rasters (.nc format) together using QGIS “create virtual raster”.Save merged raster to .tif and import into ArcPro.Reclassify the NOAA coastal relief model data to assign areas with an elevation of land to -10 m a value of 1. Assign all other areas (deep marine) a value of 0.Convert the raster produced above to vector using the “RasterToPolygon” tool.Clip to 2024 subregions using “Pairwise Clip” tool.Break apart multipart polygons using “Multipart to single parts” tool.Hand-edit to remove deep marine polygon.Dissolve the resulting data layer.This produces a seamless polygon defining land and shallow marine areas.Clip the Census urban area layer to the bounding box of NoData surrounding the extent of Southeast Blueprint 2024.Clip PAD-US 3.0 to the bounding box of NoData surrounding the extent of Southeast Blueprint 2024.Remove the following areas from PAD-US 3.0, which are outside the scope of this indicator to represent parks:All School Trust Lands in Oklahoma and Mississippi (Loc Des = “School Lands” or “School Trust Lands”). These extensive lands are leased out and are not open to the public.All tribal and military lands (“Des_Tp” = "TRIBL" or “Des_Tp” = "MIL"). Generally, these lands are not intended for public recreational use.All BOEM marine lease blocks (“Own_Name” = "BOEM"). These Outer Continental Shelf lease blocks do not represent actively protected marine parks, but serve as the “legal definition for BOEM offshore boundary coordinates...for leasing and administrative purposes” (BOEM).All lands designated as “proclamation” (“Des_Tp” = "PROC"). These typically represent the approved boundary of public lands, within which land protection is authorized to occur, but not all lands within the proclamation boundary are necessarily currently in a conserved status.Retain only selected attribute fields from PAD-US to get rid of irrelevant attributes.Merged the filtered PAD-US layer produced above with the OSM beaches and FWS National Realty Tracts to produce a combined protected areas dataset.The resulting merged data layer contains overlapping polygons. To remove overlapping polygons, use the Dissolve function.Clip the resulting data layer to the inland and nearshore extent.Process all multipart polygons (e.g., separate parcels within a National Wildlife Refuge) to single parts (referred to in Arc software as an “explode”).Select all polygons that intersect the Census urban extent within 0.5 miles. We chose 0.5 miles to represent a reasonable walking distance based on input and feedback from park access experts. Assuming a moderate intensity walking pace of 3 miles per hour, as defined by the U.S. Department of Health and Human Service’s physical activity guidelines, the 0.5 mi distance also corresponds to the 10-minute walk threshold used in the equitable access to potential parks indicator.Dissolve all the park polygons that were selected in the previous step.Process all multipart polygons to single parts (“explode”) again.Add a unique ID to the selected parks. This value will be used in a later step to join the parks to their buffers.Create a 0.5 mi (805 m) buffer ring around each park using the multiring plugin in QGIS. Ensure that “dissolve buffers” is disabled so that a single 0.5 mi buffer is created for each park.Assess the amount of overlap between the buffered park and the Census urban area using “overlap analysis”. This step is necessary to identify parks that do not intersect the urban area, but which lie within an urban matrix (e.g., Umstead Park in Raleigh, NC and Davidson-Arabia Mountain Nature Preserve in Atlanta, GA). This step creates a table that is joined back to the park polygons using the UniqueID.Remove parks that had ≤10% overlap with the urban areas when buffered. This excludes mostly non-urban parks that do not meet the intent of this indicator to capture parks that provide nearby access for urban residents. Note: The 10% threshold is a judgement call based on testing which known urban parks and urban National Wildlife Refuges are captured at different overlap cutoffs and is intended to be as inclusive as possible.Calculate the GIS acres of each remaining park unit using the Add Geometry Attributes function.Buffer the selected parks by 15 m. Buffering prevents very small and narrow parks from being left out of the indicator when the polygons are converted to raster.Reclassify the parks based on their area into the 7 classes seen in the final indicator values below. These thresholds were informed by park classification guidelines from the National Recreation and Park Association, which classify neighborhood parks as 5-10 acres, community parks as 30-50 acres, and large urban parks as optimally 75+ acres (Mertes and Hall 1995).Assess the impervious surface composition of each park using the NLCD 2021 impervious layer and the Zonal Statistics “MEAN” function. Retain only the mean percent impervious value for each park.Extract only parks with a mean impervious pixel value <80%. This step excludes parks that do not meet the intent of the indicator to capture opportunities to connect with nature and offer refugia for species (e.g., the Superdome in New Orleans, LA, the Astrodome in Houston, TX, and City Plaza in Raleigh, NC).Extract again to the inland and nearshore extent.Export the final vector file to a shapefile and import to ArcGIS Pro.Convert the resulting polygons to raster using the ArcPy Feature to Raster function and the area class field.Assign a value of 0 to all other pixels in the Southeast Blueprint 2024 extent not already identified as an urban park in the mapping steps above. Zero values are intended to help users better understand the extent of this indicator and make it perform better in online tools.Use the land and shallow marine layer and “extract by mask” tool to save the final version of this indicator.Add color and legend to raster attribute table.As a final step, clip to the spatial extent of Southeast Blueprint 2024.Note: For more details on the mapping steps, code used to create this layer is available in theSoutheast Blueprint Data Downloadunder > 6_Code.Final indicator valuesIndicator values are assigned as follows:6= 75+ acre urban park5= 50 to <75 acre urban park4= 30 to <50 acre urban park3= 10 to <30 acre urban park2=5 to <10acreurbanpark1 = <5 acre urban park0 = Not identified as an urban parkKnown IssuesThis indicator does not include park amenities that influence how well the park serves people and should not be the only tool used for parks and recreation planning. Park standards should be determined at a local level to account for various community issues, values, needs, and available resources.This indicator includes some protected areas that are not open to the public and not typically thought of as “parks”, like mitigation lands, private easements, and private golf courses. While we experimented with excluding them using the public access attribute in PAD, due to numerous inaccuracies, this inadvertently removed protected lands that are known to be publicly accessible. As a result, we erred on the side of including the non-publicly accessible lands.The NLCD percent impervious layer contains classification inaccuracies. As a result, this indicator may exclude parks that are mostly natural because they are misclassified as mostly impervious. Conversely, this indicator may include parks that are mostly impervious because they are misclassified as mostly

The database is the culmination of an effort by Andrew Douglas-Clifford (The Map Kiwi) to create a comprehensive open dataset of Te Reo Māori place names in OpenStreetMap (OSM). This layer is an extract of the OpenStreetMap database for the place names in New Zealand that are tagged with a Māori name. Please note that the layer excludes places with English only names.This dataset includes the following:Settlements: cities, towns, villages, hamlets, localities and islands, with English and Māori names.Waterways: rivers, streams, canals, drains and tidal channels.Water Bodies: Lakes and some bays.Mountain Peaks (with elevation)The source field (when known) is populated from a combination of OpenStreetMap tags and additional source lookups (note it may contain sources for the geometry rather than name in some cases).See an interactive map with these names, or buy a print map on The Map Kiwi website, where you can also provide feedback or suggestions for this layer.

This layer contains information extracted from OpenStreetMap. The inclusion of information within this dataset should not be considered as an indication that the name is official or authoritative. While reasonable efforts have been made to ensure that the information contained within this map is accurate, the author is not responsible for any errors or inaccuracies.Any use of this data must be accompanied with attribution to '© OpenStreetMap contributors'. Data was last exported from OpenStreetmap January 2025.

The database is the culmination of an effort by Andrew Douglas-Clifford (The Map Kiwi) to create a comprehensive open dataset of Te Reo Māori place names in OpenStreetMap (OSM). This layer is an extract of the OpenStreetMap database for the place names in New Zealand that are tagged with a Māori name. Please note that the layer excludes places with English only names.This dataset includes the following:Settlements: cities, towns, villages, hamlets, localities and islands, with English and Māori names.Waterways: rivers, streams, canals, drains and tidal channels.Water Bodies: Lakes and some bays.Mountain Peaks (with elevation)The source field (when known) is populated from a combination of OpenStreetMap tags and additional source lookups (note it may contain sources for the geometry rather than name in some cases).See an interactive map with these names, or buy a print map on The Map Kiwi website, where you can also provide feedback or suggestions for this layer.

This layer contains information extracted from OpenStreetMap. The inclusion of information within this dataset should not be considered as an indication that the name is official or authoritative. While reasonable efforts have been made to ensure that the information contained within this map is accurate, the author is not responsible for any errors or inaccuracies.Any use of this data must be accompanied with attribution to '© OpenStreetMap contributors'. Data was last exported from OpenStreetmap January 2025.

Recensement des équipements sportifs présents sur la ville de Cergy.Les équipements sont représentés par des polygones dont la couleur correspond à la typologie suivante :- Extérieur- Intérieur- Plateau EPSCes données ont été retravaillées depuis un export initial d'OpenStreetMap.Jeu de données disponible sur data.gouv.frRetrouvez les métadonnées et autres ressources sur le Catalogue de Cergy Geonetwork