Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap contains roughly 750.5 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 72 % of the total road length in the dataset region. The average age of data for the region is 2 years ( Last edited 2 days ago ) and 9% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['highway'] IS NOT NULL
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
http://dcat-ap.de/def/licenses/odblhttp://dcat-ap.de/def/licenses/odbl
OpenStreetMap is a project launched in 2004 to create a free world map. We collect data on roads, railways, rivers, forests, homes and anything else around the world, commonly seen on maps. Because we collect the data yourself and not distinguish from existing cards, we have all the rights to it. Open StreetMap data may be used free of charge by anyone and further processed at any time. This dataset contains the Berlin section of the Planet File. Other formats such as OSM-XML, shapefiles, SVG, Adobe Illustrator, Garmin GPS, GPX, GML, KML, Manifold GIS, grid graphics can be exported at http://wiki.openstreetmap.org/wiki/Export.
Open StreetMap-data questions can be discussed here: Http://forum.openstreetmap.org/viewforum.php?id=14
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Note: updates to this beta layer are currently paused while we sync new versions of the OSM layers for Europe.This feature layer provides access to OpenStreetMap (OSM) highways data for Europe, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes highway features defined as a query against the hosted feature layer (i.e. highway is not blank).In OSM, a highway describes any kind of motorway, road, street or path. These features are identified with a highway tag. There are hundreds of different tag values for highway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular highway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available). The name of the highway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this highway layer displaying just one or two highway types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. highway is path), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. cycleway and pedestrian) that are ready to use, but not for every type of highway.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
This feature layer provides access to OpenStreetMap (OSM) tourist attraction point data for North America, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes tourism features defined as a query against the hosted feature layer (i.e. tourism is not blank).In OSM, tourism features are places and things of specific interest to tourists including places to see, places to stay, things and places providing information and support to tourists. These features are identified with a tourism tag. There are hundreds of different tag values used in the OSM database. In this feature layer, unique symbols are used for several of the most popular tourism types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the tourism features display. You can click on a feature to get the name of the tourism feature. The name of the feature will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this tourism layer displaying just one or two tourism types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. tourism is ruin), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap contains roughly 594.6 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 32 % of the total road length in the dataset region. The average age of data for the region is 3 years ( Last edited 2 days ago ) and 8% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['highway'] IS NOT NULL
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Exports of the French administrative division at the departmental level (districts of departments) from OpenStreetMap produced in the vast majority from the cadastre.
This data comes from crowdsourcing carried out by the contributors to the OpenStreetMap project and is under ODbL license which requires identical sharing and the mandatory attribution mention must be “**© OpenStreetMap contributors under ODbL** license” in accordance with http://osm.org/copyright
This is a semi-automatic export with lighter and topologically verified geometries (no overlap). From 2016, the geometries are original, unsimplified.
Origin
The data comes from the OpenStreetMap cartographic database. These were established from the cadastre made available by DGFiP on cadastre.gouv.fr. In addition on Mayotte where the cadastre is not available on cadastre.gouv.fr, the route of the coasts was produced from the aerial images of Bing.
More info: http://prev.openstreetmap.fr/36680-communes
Format
These files are available in shapefile format, in WGS84 projection with several levels of detail (until 2015):
— simplification at 5 m — simplification at 50 m — simplification at 100 m
The topology is retained during the simplification process (see: http://prev.openstreetmap.fr/blogs/cquest/limites-administratives-simplifiees)
Content
These files contain all the French departments, including the DOM and Mayotte.
For each region, the following attributes are added:
— code_insee: 2-character INSEE code of the department (e.g. 01, 2A) — name: name of department (e.g. Ain, South Corsica) — nuts3: European NUTS3 code corresponding to the departure (e.g. FR711, FR831) — Wikipedia: wikipedia entry (language code followed by article name) — Wikidata: wikidata ID of the department (from 2016) — surf_km2: area in km² of the department (from 2018)
— 20-12-2013: first generation of the file, based on the OSM communal cutting at 19-12-2013 — 06-03-2014: second generation of the file, based on the OSM communal cutting at 06-03-2014 — 18-02-2016: third generation of the file, based on the municipal division OSM at 18-02-2016 taking into account the change between the Loire-Atlantique and Maine-et-Loire following the merger of Le Fresne-sur-Loire (44) with Ingrandes (49) — 01-01-2017: version based on the municipal division OSM as of 01-01-2017 including the merger of 566 communes into 178 new municipalities (including a commune changing department). — 01-01-2018: version including mergers of municipalities until 01-01-2018, including the change of department of two merged municipalities modifying the boundaries of Calvados, Manche, Loire-Atlantique and Maine-et-Loire.
Predecent versions available on: http://osm13.openstreetmap.fr/~cquest/openfla/export/
If you have any questions about these exports, you can contact exports@openstreetmap.fr
See also:
— live extraction by API — cards in SVG format — contours of the French municipalities — contours of EPCI 2014 and Contours des EPCI 2013 — contours of the French arrondissements — contours of French regions
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Geographical contours of the EPCI resulting from the crossing of the municipal boundaries of OpenStreetMap and the data of the Ministry of the Interior on EPCIs dating from 2013.
This data is partly derived from crowdsourcing carried out by the contributors to the OpenStreetMap project and is therefore under ODbL license which requires an identical sharing and the mandatory attribution mention must be “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright
The data come from the Ministry of the Interior crossed with the communal division from the OpenStreetMap cartographic database. The latter were established from the cadastre made available by DGFiP on cadastre.gouv.fr. In addition on Mayotte where the cadastre is not available on cadastre.gouv.fr, it is the limits of the GEOFLA of IGN that have been used as well as the plot of the coasts from the aerial images of Bing.
Source for EPCI 2013: https://www.data.gouv.fr/fr/dataset/adhesion-des-communes-a-un-etablissement-public-de-cooperation-intercommunale-epci-a-fiscal-00000000
More info: http://openstreetmap.fr/36680-communes
These files are offered in shapefile format, in WGS84 projection with several levels of detail:
— simplification at 5 m — simplification at 50 m — simplification at 100 m
The topology is retained during the simplification process (see: http://openstreetmap.fr/blogs/cquest/limites-administratives-simplifiees)
These files contain all the EPCIs contained in the file of the Ministry of the Interior (see “Origin of the data”).
For each EPCI, the following attributes are provided:
— siren_epci: SIREN code assigned by INSEE to EPCI (source Min. Inland) — name_epci: name of EPCI (source Min. Interior) — ptot_epci: total population of the EPCI (source Min. Inland) — nb_comm: number of municipalities in the EPCI — surf_km2: area of the EPCI in km² on the WGS84 spheroid
— 20-12-2013: first generation of the file, based on the OSM communal cutting at 19-12-2013
If you have any questions about these exports, you can contact exports@openstreetmap.fr
See also:
— contours of EPCI 2014 — contours of the French municipalities — contours of the French arrondissements — contours of the French departments and SVG maps of the departments — contours of French regions
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data package contains extracts from open datasets to support
the tutorials available at https://github.com/nismod/snail/
This version of the data goes with v0.1 of the tutorials:
https://github.com/nismod/snail/releases/tag/v0.1
WRI Aqueduct Flood Hazard Maps
`flood_layer` contains data extracted and derived from the Aqueduct
Flood Hazard Maps (version 2, updated October 20, 2020).
See https://www.wri.org/resources/data-sets/aqueduct-floods-hazard-maps
These data are shared under the CC-BY Creative Commons Attribution
License 4.0 - https://creativecommons.org/licenses/by/4.0/
Citation: Ward, P.J., H.C. Winsemius, S. Kuzma,
M.F.P. Bierkens, A. Bouwman, H. de Moel, A. Díaz Loaiza, et
al. 2020. “Aqueduct Floods Methodology.” Technical Note.
Washington, D.C.: World Resources Institute. Available online at:
www.wri.org/publication/aqueduct-floods-methodology.
Ghana - Subnational Administrative Boundaries
`gha_admbnda_gss_20210308_shp` contains data from Ghana Statistical
Services (GSS) contributed to Humanitarian Data Exchange by the OCHA
Regional Office for West and Central Africa, updated 11 March 2021.
See https://data.humdata.org/m/dataset/ghana-administrative-boundaries
These data are shared under the Creative Commons Attribution for
Intergovernmental Organisations (CC BY-IGO) - https://creativecommons.org/licenses/by/3.0/igo/
Ghana OpenStreetMap Extract
`ghana-latest-free.shp` contains data extracted from OpenStreetMap
and downloaded from GeoFabrik.
The files in this archive have been created from OpenStreetMap data
and are licensed under the Open Database 1.0 License. See
www.openstreetmap.org for details about the project.
This file contains OpenStreetMap data as of 2021-03-22T21:21:57Z.
More recent updates will be made available daily here:
http://download.geofabrik.de/africa/ghana-latest-free.shp.zip
A documentation of the layers in this shape file is available here:
http://download.geofabrik.de/osm-data-in-gis-formats-free.pdf
Ghana Road Network
`GHA_OSM_roads.gpkg` contains data derived from the OpenStreetMap
extract above, and can be reproduced by running through nismod/snail
tutorial 01.
These data are shared under the same Open Database 1.0 License. See
www.openstreetmap.org for details about the project.
Natural Earth Country Boundaries
`ne_10m_admin_0_countries` contains Natural Earth 1:10m Cultural Vectors,
Admin ) - Countries version 4.1.0
See https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-countries/
These data are declared to be in the public domain, and may be shared
and modified without restriction - https://www.naturalearthdata.com/about/terms-of-use/
QGIS project
`overview.qgz` is a QGIS project intended to help preview and explore
the data in this package.
It is shared under the CC-BY Creative Commons Attribution
License 4.0 - https://creativecommons.org/licenses/by/4.0/
Please cite it as part of this data package, by Tom Russell (2021).
Results
`results` contains the results of analysis that can be reproduced
by running through all the nismod/snail tutorials.
These are derived from all the data above, shared under the
combined terms of Open Database 1.0 License and CC-BY licenses as
applicable to derived, extracted and modified data.
Anguilla OSM barrierpoints file | OpenStreetMap transportation (1/2) shapefile provided by MAPZEN
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Update NotesMar 16 2024, remove spaces in the file and folder names.Mar 31 2024, delete the underscore in the city names with a space (such as San Francisco) in the '02_TransCAD_results' folder to ensure correct data loading by TransCAD (software version: 9.0).Aug 31 2024, add the 'cityname_link_LinkFlows.csv' file in the '02_TransCAD_results' folder to match the link from input data and the link from TransCAD results (LinkFlows) with the same Link_ID.IntroductionThis is a unified and validated traffic dataset for 20 US cities. There are 3 folders for each city.01 Input datathe initial network data obtained from OpenStreetMap (OSM)the visualization of the OSM dataprocessed node / link / od data02 TransCAD results (software version: 9.0)cityname.dbd : geographical network database of the city supported by TransCAD (version 9.0)cityname_link.shp / cityname_node.shp : network data supported by GIS software, which can be imported into TransCAD manually. Then the corresponding '.dbd' file can be generated for TransCAD with a version lower than 9.0od.mtx : OD matrix supported by TransCADLinkFlows.bin / LinkFlows.csv : traffic assignment results by TransCADcityname_link_LinkFlows.csv: the input link attributes with the traffic assignment results by TransCADShortestPath.mtx / ue_travel_time.csv : the traval time (min) between OD pairs by TransCAD03 AequilibraE results (software version: 0.9.3)cityname.shp : shapefile network data of the city support by QGIS or other GIS softwareod_demand.aem : OD matrix supported by AequilibraEnetwork.csv : the network file used for traffic assignment in AequilibraEassignment_result.csv : traffic assignment results by AequilibraEPublicationXu, X., Zheng, Z., Hu, Z. et al. (2024). A unified dataset for the city-scale traffic assignment model in 20 U.S. cities. Sci Data 11, 325. https://doi.org/10.1038/s41597-024-03149-8Usage NotesIf you use this dataset in your research or any other work, please cite both the dataset and paper above.A brief introduction about how to use this dataset can be found in GitHub. More detailed illustration for compiling the traffic dataset on AequilibraE can be referred to GitHub code or Colab code.ContactIf you have any inquiries, please contact Xiaotong Xu (email: kid-a.xu@connect.polyu.hk).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This datatset contains a land use classification of Dakar (Senegal) at the street block level. It was created following the methodology presented in [1].
Description of the files:
"Dakar_landuse_shapefile.zip" : Shapefile of the street blocks extracted from OpenStreetMap using [2] with classification results in the attribute table.
"Dakar_landuse_style.zip" : Files for style of the shapefile.
Attribute table content:
"CAT", "GID" : ID of the street block
"PROB_ACS" : Probability to belong to class ACS
"PROB_AGRI" : Probability to belong to class AGRI
"PROB_BARE" : Probability to belong to class BARE
"PROB_DEPR" : Probability to belong to class DEPR
"PROB_PLAN" : Probability to belong to class PLAN
"PROB_VEG" : Probability to belong to class VEG
"FIRST_LABE" : Class with the highest classification probability
"SEC_LABEL" : Class with the second highest classification probability
"FIRST_PROB" : Value of the highest classification probability
"SEC_PROB" : Value of the second highest classification probability
"UNCERTAIN" : Difference between "FIRST_PROB" and "SEC_PROB"
"BUILT_PERC" : Percentage of the street blocks covered by built-up (from land cover map)
"MAP_LABEL" : Final classification label with uncertainty and different density classes
Legend classes label:
"AGRI" : Agricultural vegetation
"VEG" : Natural vegetation
"BARE" : Bare soils
"ACS" : Non-residential built-up (administrative, commercial, services, etc.)
"PLAN" : Planned residential built-up
"PLAN_LD" : Planned residential low density built-up
"DEPR" : Deprived residential built-up
"UNCERT" : Uncertain classification
References:
[1] Grippa, Tais, 2018, "Mapping urban land use at street block level using OpenStreetMap, remote sensing data and spatial metrics", ISPRS Int. J. Geo-Inf. 2018, 7(7), 246. https://doi.org/10.3390/ijgi7070246
[2] Grippa, Tais. 2018. “Osm Street Blocks Extraction.” Zenodo. https://doi.org/10.5281/zenodo.1290637.
Funding:
This dataset was produced in the frame of two research project : MAUPP (http://maupp.ulb.ac.be) and REACT (http://react.ulb.be), funded by the Belgian Federal Science Policy Office (BELSPO).
Exports du découpage administratif français au niveau régional (contours des régions) issu d'OpenStreetMap produit dans sa grande majorité à partir du cadastre.
Ces données sont issues du crowdsourcing effectué par les contributeurs au projet OpenStreetMap et sont sous licence ODbL qui impose un partage à l'identique et la mention obligatoire d'attribution doit être "© les contributeurs d'OpenStreetMap sous licence ODbL" conformément à http://osm.org/copyright
Il s'agit d'un export semi-automatique avec des géométries allégées et vérifiées topologiquement (pas de chevauchement). A partir de 2016, les géométries sont d'origine, non simplifiées.
Origine
Les données proviennent de la base de données cartographiques OpenStreetMap. Celles-ci ont été constituées à partir du cadastre mis à disposition par la DGFiP sur cadastre.gouv.fr. En complément sur Mayotte où le cadastre n'est pas disponible sur cadastre.gouv.fr, le tracé des côtes a été fait à partir des images aériennes de Bing.
Plus d'infos: http://prev.openstreetmap.fr/36680-communes
Format
Ces fichiers sont proposés au format shapefile, en projection WGS84 avec plusieurs niveaux de détails (jusqu'en 2015): - simplification à 5m - simplification à 50m - simplification à 100m
La topologie est conservée lors du processus de simplification (cf: http://prev.openstreetmap.fr/blogs/cquest/limites-administratives-simplifiees)
Contenu
Ces fichiers contiennent l'ensemble des régions françaises, y compris les DOM et Mayotte.
Pour chaque région, les attributs suivants sont ajoutés:
Versions prédécentes disponibles sur: http://osm13.openstreetmap.fr/~cquest/openfla/export/
Pour toute question concernant ces exports, vous pouvez contacter exports@openstreetmap.fr
Voir aussi:
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
As of January 1, 2016, some of the regions established in the 1960s merge to leave only 13. # Content Each department is delivered as a ZIP archive that contains several map layers at the fomat shapefile (the.doc of mapping): — places.shp: names of cities or neighborhoods — roads.shp: all paths from highway to pedestrian path — buildings.shp: built space — raillways.shp: railways — waterways.shp: the hydrolic network — points.shp: a list of points of interest — natural.shp: green areas — landuse.shp: land occupancy — admin-department.shp: the department In addition, a project file QGis is provided in the archive, in order to visualise the layer overlay in a free tool. # Origin The geofabrik site is well known for providing reference maps extracted from OpenStreetMap on the whole world, but it offers the old split, this data set is the up-to-date declination of the new regions! The data comes from the OpenStreetMap community and free cartographic database. The division by department comes from the ‘Contours of the French departments from OpenStreetMap’. Shapefiles are extracted according to the method exposed by Maxime Résibois’ excellent article on PortalSIG: http://www.portailsig.org/content/recuperer-des-donnees-openstreetmap-gdalogr The sources of automatic extraction processing are available on github. They rely on tuttle, a build system for data. # License This data comes from crowdsourcing carried out by the contributors to the OpenStreetMap project and is under ODbL license which requires an identical sharing and the mandatory attribution mention must be “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright # List of regions covered — Auvergne-Rhône-Alpes — Bourgogne-Franche-Comté — Brittany — Centre-Val de Loire — Corsica — Great East — Guadeloupe — Guyana — Up-de-France — Island of France — Martinique — Mayotte — Normandy — New-Aquitaine — Occitanie — Country of the Loire — Provence-Alpes-Côte d’Azur — The Reunion
Rivers in Crimea as traced on OpenStreetMap (https://www.openstreetmap.org) in SHP file format. See "HGC Description" document for details.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.