100+ datasets found
  1. International Boundaries Coastalines - UNmap (2018)

    • datacore-gn.unepgrid.ch
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    Geospatial Information Section, United Nations (UN-GIS), International Boundaries Coastalines - UNmap (2018) [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/25db6f28-a0e7-491f-9975-eae2e6b65ed2
    Explore at:
    www:link-1.0-http--linkAvailable download formats
    Dataset provided by
    United Nationshttp://un.org/
    Time period covered
    2015
    Area covered
    Antarctica, Antarctic Ice shield
    Description

    United Nations map (known as UNmap) is a worldwide geospatial database consisting of country and geographic name information on a global scale. The data is designed for the production of cartographic documents and maps, including their dissemination via public electronic networks, for the Secretariat of the United Nations.The United Nations maintains the Data as a courtesy to those who may choose to access the Data. The Data is provided “as is”, without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement.

    Disclaimers: - The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. - The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. - Dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. - The final status of Jammu and Kashmir has not yet been agreed upon by the parties. - Final boundary between the Republic of Sudan and the Republic of South Sudan has not yet been determined. - Final status of the Abyei area is not yet determined. - A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning sovereignty over the Falkland Islands (Malvinas).

    Generalization parametrisation for the data is developed based on the work of Douglas and Peucker (1973), Wang (1996) and the Polynomial Approximation with Exponential Kernel algorithm.The adequate generalized data should be used for the intended dissemination scale and not rely on software or platform-automated generalization as some specific geographic features are removed at scales. For instance, the region of Abyei is not included at the scale of 1:25 million but is included at lower scales.

    Maps produced using this layer should be featured with the appropriate disclaimer depending on the shown area.

    Source: United Nations International and Administrative Boundaries Resources

  2. n

    United Nations Cartographic Section: Country Profile Map - Democratic...

    • cmr.earthdata.nasa.gov
    pdf
    Updated Apr 21, 2017
    + more versions
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    (2017). United Nations Cartographic Section: Country Profile Map - Democratic Republic of the Congo(East) [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214611805-SCIOPS
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    pdfAvailable download formats
    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    This is a PDF format map of the country, as released by the United Nations.

  3. Cloud to Street Rohingya Refugees Flood Maps based on Sentinel-1 Imagery

    • data.amerigeoss.org
    • data.humdata.org
    • +1more
    geotiff, pdf, shp
    Updated Mar 14, 2023
    + more versions
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    UN Humanitarian Data Exchange (2023). Cloud to Street Rohingya Refugees Flood Maps based on Sentinel-1 Imagery [Dataset]. https://data.amerigeoss.org/dataset/cloud-to-street-rohingya-refugees-flood-maps-2018-06-13-based-on-sentinel-1-imagery
    Explore at:
    shp(433377), pdf(88525), geotiff(1775022)Available download formats
    Dataset updated
    Mar 14, 2023
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Includes a binary GeoTIFF where 0 values are non-flooded and 1 values are flooded. Included a metadata file that describes a summary and methods for the data.

  4. n

    United Nations Cartographic Section: Country Profile Map - Gabon

    • cmr.earthdata.nasa.gov
    pdf
    Updated Apr 21, 2017
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    (2017). United Nations Cartographic Section: Country Profile Map - Gabon [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214611810-SCIOPS
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    pdfAvailable download formats
    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    This is a PDF format map of the country, as released by the United Nations.

  5. Naura: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    • data.humdata.org
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Naura: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/el/dataset/naura-high-resolution-population-density-maps-demographic-estimates
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    zip(8464), zip(8490), zip(9431), zip(12460), zip(12565), zip(12501), zip(12573), zip(12645), zip(12514), zip(8495), zip(8556), zip(8504), zip(12551)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  6. Insecurity Insight Data supporting ACAPs Access Map

    • data.amerigeoss.org
    xlsx
    Updated Nov 24, 2020
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    UN Humanitarian Data Exchange (2020). Insecurity Insight Data supporting ACAPs Access Map [Dataset]. https://data.amerigeoss.org/lt/dataset/cf9fc689-29a7-49ba-ab14-287b6f286b60
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    xlsx(58534)Available download formats
    Dataset updated
    Nov 24, 2020
    Dataset provided by
    United Nationshttp://un.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.

  7. OLD Interactive map for all datasets

    • data.amerigeoss.org
    html, jpeg +2
    Updated Mar 5, 2022
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    Food and Agriculture Organization (2022). OLD Interactive map for all datasets [Dataset]. https://data.amerigeoss.org/dataset/main
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    jpeg(61861), jpeg(111496), xlm, html(21726), jpeg(66135), html, jpeg(67652), json-terriajs(21726), html(895), jpeg(23039)Available download formats
    Dataset updated
    Mar 5, 2022
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Paris Agreement constitutes a landmark achievement in the international response to climate change, as developed and developing countries alike committed to do their part in the transition to a low-emission and climate-resilient future. The Agreement seeks to limit global warming to below a 2°C rise above pre-industrial levels and pursue efforts to stay within 1.5°C, as well as sets a global goal on adaptation within the context of sustainable development. Underpinning the Agreement are the Nationally Determined Contributions (NDCs), representing the main national policy framework, under the United Nations Framework Convention on Climate Change (UNFCCC), by which Parties communicate their commitment to reducing national greenhouse gas emissions (GHG) and adapting to the impacts of climate change, based on national priorities, circumstances and capabilities, and support needs.

  8. Vietnam: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Vietnam: High Resolution Population Density Maps + Demographic Estimates [Dataset]. http://cloud.csiss.gmu.edu/dataset/191b04c5-3dc7-4c2a-8e00-9c0bdfdfbf9d
    Explore at:
    zip(34390652), zip(34284631), zip(47764351), zip(47749474), zip(34376627), zip(34350464), zip(53297502), zip(34337146), zip(47722718), zip(47757724), zip(34343561), zip(47716434), zip(47763020), zip(34393306)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Vietnam
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  9. Marshall Islands: High Resolution Population Density Maps + Demographic...

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Marshall Islands: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/cs_CZ/dataset/activity/marshall-islands-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    zip(32309), zip(275473), zip(32355), zip(275953), zip(276092), zip(32395), zip(275737), zip(279967), zip(37162), zip(275888), zip(32361), zip(32313), zip(32385), zip(275532)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Marshall Islands
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  10. Laos: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Laos: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/no/dataset/2d9c5596-151a-4c8d-af6d-4ab3492c6cc7
    Explore at:
    zip(4384507), zip(4401705), zip(7821051), zip(7840670), zip(7826260), zip(7839696), zip(4413063), zip(4421862), zip(5474685), zip(4410044), zip(7838654), zip(7826624), zip(4421227), zip(7819441)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Laos
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  11. Global Distribution of Coral Reefs - United Nations Environment Programme...

    • americansamoa-data.sprep.org
    • nauru-data.sprep.org
    • +13more
    Updated Apr 2, 2025
    + more versions
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    Secretariat of the Pacific Regional Environment Programme (2025). Global Distribution of Coral Reefs - United Nations Environment Programme World Conservation Monitoring Centre [Dataset]. https://americansamoa-data.sprep.org/dataset/global-distribution-coral-reefs-united-nations-environment-programme-world-conservation
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    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    -172.11181640625 85.020707743126, POLYGON ((-172.11181640625 -85.754219509892, 192.10693359375 85.020707743126, 192.10693359375 -85.754219509892)), Worldwide
    Description

    This dataset shows the global distribution of coral reefs in tropical and subtropical regions. It is the most comprehensive global dataset of warm-water coral reefs to date, acting as a foundation baseline map for future, more detailed, work. This dataset was compiled from a number of sources by UNEP World Conservation Monitoring Centre (UNEP-WCMC) and the WorldFish Centre, in collaboration with WRI (World Resources Institute) and TNC (The Nature Conservancy). Data sources include the Millennium Coral Reef Mapping Project (IMaRS-USF and IRD 2005, IMaRS-USF 2005) and the World Atlas of Coral Reefs (Spalding et al. 2001).

    Citation: UNEP-WCMC, WorldFish Centre, WRI, TNC (2018). Global distribution of warm-water coral reefs, compiled from multiple sources including the Millennium Coral Reef Mapping Project. Version 4.0. Includes contributions from IMaRS-USF and IRD (2005), IMaRS-USF (2005) and Spalding et al. (2001). Cambridge (UK): UN Environment World Conservation Monitoring Centre. URL: http://data.unep-wcmc.org/datasets/1

    Citations for the separate entities: IMaRS-USF (Institute for Marine Remote Sensing-University of South Florida) (2005). Millennium Coral Reef Mapping Project. Unvalidated maps. These maps are unendorsed by IRD, but were further interpreted by UNEP World Conservation Monitoring Centre. Cambridge (UK): UNEP World Conservation Monitoring Centre

    IMaRS-USF, IRD (Institut de Recherche pour le Developpement) (2005). Millennium Coral Reef Mapping Project. Validated maps. Cambridge (UK): UNEP World Conservation Monitoring Centre

    Spalding MD, Ravilious C, Green EP (2001). World Atlas of Coral Reefs. Berkeley (California, USA): The University of California Press. 436 pp.

  12. n

    United Nations Cartographic Section: Country Profile Map...

    • cmr.earthdata.nasa.gov
    Updated Apr 21, 2017
    + more versions
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    (2017). United Nations Cartographic Section: Country Profile Map -Guatemala(Southern) [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214611822-SCIOPS
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    This is a PDF format map of the country, as released by the United Nations.

  13. Administrative Boundaries Reference (view layer)

    • data-in-emergencies.fao.org
    Updated May 25, 2021
    + more versions
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    Food and Agriculture Organization of the United Nations (2021). Administrative Boundaries Reference (view layer) [Dataset]. https://data-in-emergencies.fao.org/maps/3596c3ad318849068eda21517ade30be
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    Dataset updated
    May 25, 2021
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    Food and Agriculture Organization of the United Nations
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Administrative Boundaries used by the Data in Emergencies Hub are the result of a collection of international and subnational divisions currently used by FAO country offices for mapping and reporting purposes. With only a few exceptions, they are mostly derived from datasets published on The Humanitarian Data Exchange (OCHA).The dataset consists of national boundaries, first subdivision, and second subdivision for Sure! Here's the reformatted list as requested:

    Afghanistan, Angola, Bangladesh, Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, Colombia, Comoros, Democratic Republic of the Congo, Ecuador, El Salvador, Federated States of Micronesia, Ghana, Guatemala, Haiti, Honduras, Iraq, Kingdom of Tonga, Kiribati, Kyrgyzstan, Lao People's Democratic Republic, Lebanon, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mozambique, Myanmar, Namibia, Nepal, Niger, Nigeria, Pakistan, Palestine, Philippines, Republic of the Marshall Islands, Saint Lucia, Samoa, Senegal, Sierra Leone, Solomon Islands, Somalia, South Sudan, Sri Lanka, Sudan, Suriname, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Togo, Tuvalu, Uganda, Ukraine, Venezuela, Vietnam, Yemen, and Zimbabwe.In the Feature Layer, the administrative boundaries are represented by closed polygons, administrative levels are nested and multiple distinct polygons are represented as a single record.The Data in Emergencies Hub team is responsible for keeping the layer up to date, so please report any possible errors or outdated information.The boundaries and names shown and the designations used on these map(s) do not imply the expression of any opinion whatsoever on the part of FAO concerning the legal status of any country, territory, city, or area or of its authorities, or concerning the delimitation of its frontiers and boundaries. Dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The final boundary between the Sudan and South Sudan has not yet been determined. The final status of the Abyei area is not yet determined. The dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. The final status of Jammu and Kashmir has not yet been agreed upon by the parties.

  14. Mapping of Goods and Services Identification Number to United Nations...

    • open.canada.ca
    • datasets.ai
    • +1more
    csv, html, xml
    Updated Jan 21, 2025
    + more versions
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    Public Services and Procurement Canada (2025). Mapping of Goods and Services Identification Number to United Nations Standard Products and Services Code [Dataset]. https://open.canada.ca/data/en/dataset/588eab5b-7b16-4a26-b996-23b955965ffa
    Explore at:
    xml, csv, htmlAvailable download formats
    Dataset updated
    Jan 21, 2025
    Dataset provided by
    Public Services and Procurement Canadahttp://www.pwgsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    In 2021, an international goods and services classification for procurement called the United Nations Standard Products and Services Code (UNSPSC, v21) was implemented to replace the Government of Canada’s Goods and Services Identification Numbers (GSIN) codes for categorizing procurement activities undertaken by the Government of Canada. For the transition from GSIN to UNSPSC, a subset of the entire version 21 UNSPSC list was created. The Mapping of GSIN-UNSPSC file below provides a suggested linkage between the subset of UNSPSC and higher levels of the GSIN code list. As procurement needs evolve, this file may be updated to include other UNSPSC v21 codes that are deemed to be required. In the interim, if the lowest level values within the UNSPSC structure does not relate to a specific category of goods or services, the use of the higher (related) level code from within the UNSPSC structure is appropriate. --- >Please note: This dataset is offered as a means to assist the user in finding specific UNSPSC codes, based on high-level comparisons to the legacy GSIN codes. It should not be considered a direct one-to-one mapping of these two categorization systems. For some categories, the linkages were only assessed at higher levels of the two structures (and then simply carried through indiscriminately to the related lower categories beneath those values). But given that the two systems do not necessarily group items in the same way throughout their structures, this could result in confusing connections in some cases. Please always select the UNSPSC code that best describes the applicable goods or services, even if the associated GSIN value as shown in this file is not directly relevant. --- The data is available in Comma Separated Values (CSV) file format and can be downloaded to sort, filter, and search information. The United Nations Standard Products and Services Code (UNSPSC) page on CanadaBuys offers a comprehensive guide on how to use this reference file. The Finding and using UNSPSC Codes page from CanadaBuys also contains additional information which may be of use. This dataset was originally published on June 22, 2016. The format and contents of the CSV file were revised on May 12, 2021. A copy of the original file was archived as a secondary resource to this dataset at that time (labelled ARCHIVED - Mapping of GSIN-UNSPSC in the resource list below). --- As of March 23, 2023, the data dictionary linked below includes entries for both the current and archived versions of the datafile, as well as for the datafiles of Goods and Services Identification Number (GSIN) dataset and the archived United Nations Standard Products and Services Codes (v10, released 2007) dataset.

  15. Antigua and Barbuda: High Resolution Population Density Maps + Demographic...

    • cloud.csiss.gmu.edu
    zip, zipped csv +1
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Antigua and Barbuda: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/tl/dataset/antigua-and-barbuda-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    zip(145567), zipped csv(147795), zip(100056), zip(145085), zip(99609), zip(100148), zip(145219), zip(145248), zip(100076), zip(100147), zipped geotiff(99828), zip(145429), zip(145920), zip(99882)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Antigua and Barbuda
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  16. Topographic (Deprecated)

    • hub.arcgis.com
    Updated Mar 19, 2018
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    Esri Suisse (2018). Topographic (Deprecated) [Dataset]. https://hub.arcgis.com/maps/d11a1f4571b3485c9643b22329c94ab2
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    Dataset updated
    Mar 19, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Suisse
    Area covered
    Earth
    Description

    Important Note: this item is marked as Deprecated and will no longer be maintained. Please use one of the following items instead:World Topographic Map Swiss Style (VT)World Topographic Map Swiss Style (VT) - deWorld Topographic Map (Vector Tile)This map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes cities, water features, physiographic features, parks, landmarks, highways, roads, railways, airports, and administrative boundaries, overlaid on land cover and shaded relief imagery for added context. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.The map provides coverage for the world down to a scale of ~1:72k. Coverage is provided down to ~1:4k for the following areas: Africa, Australia and New Zealand; Europe and Russia; India; the continental United States and Hawaii; Canada; Mexico; most of the Middle East; Pacific Island nations; South America and Central America. Coverage down to ~1:1k and ~1:2k is available in select urban areas. This basemap was compiled from a variety of best available sources from several data providers, including the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA) , U.S. National Park Service (NPS), Food and Agriculture Organization of the United Nations (FAO), Department of Natural Resources Canada (NRCAN), GeoBase, Agriculture and Agri-Food Canada, DeLorme, HERE, and Esri. Data for Africa and Pacific Island nations from ~1:288k to ~1:4k (~1:1k in select areas) was sourced from OpenStreetMap contributors. The data for the World Topographic Map is provided by the GIS community. You can contribute your data to this service and have it served by Esri. For details on the coverage in this map and the users who contributed data for this map via the Community Maps Program, view the list of Contributors for the World Topographic Map.Feedback: Have you ever seen a problem in the Esri World Topographic Map community basemap that you wanted to see fixed? You can use the Topographic Map Feedback web map to provide feedback on issues or errors that you see in the Esri World Topographic Map. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  17. a

    San Fernando Geological map - United Nations Development Programme Operation...

    • geocatalogue.africamuseum.be
    Updated Jan 1, 1969
    + more versions
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    Royal Museum for Central Africa (1969). San Fernando Geological map - United Nations Development Programme Operation N°5 [Dataset]. https://geocatalogue.africamuseum.be/geonetwork/srv/api/records/BE-RMCA-EARTHS-037629
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    Dataset updated
    Jan 1, 1969
    Dataset authored and provided by
    Royal Museum for Central Africa
    Time period covered
    Jan 1, 1969 - Dec 31, 1969
    Area covered
    Description

    Title: San Fernando Geological map, United Nations Development Programme Operation N°5 - Scale: 50000 - Annotations - Sheet number/Numéro de feuille/Bladnummer: 2c

  18. n

    United Nations Cartographic Section: Country Profile Map -Yugoslavia

    • cmr.earthdata.nasa.gov
    Updated Apr 21, 2017
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    (2017). United Nations Cartographic Section: Country Profile Map -Yugoslavia [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214611838-SCIOPS
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    United Nations, Yugoslavia
    Description

    This is a PDF format map of the country, as released by the United Nations.

  19. UNOSAT Live Web map - Flash floods in Afghanistan

    • data.amerigeoss.org
    • data.humdata.org
    geodatabase, shp
    Updated May 22, 2024
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    UN Humanitarian Data Exchange (2024). UNOSAT Live Web map - Flash floods in Afghanistan [Dataset]. https://data.amerigeoss.org/dataset/unosat-live-web-map-flash-floods-in-afghanistan
    Explore at:
    shp, geodatabaseAvailable download formats
    Dataset updated
    May 22, 2024
    Dataset provided by
    United Nationshttp://un.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Area covered
    Afghanistan
    Description

    UNOSAT code: FL20240512AFG, GDACS ID: 1102616 This application provides geospatial information on the ongoing floods in Afghanistan.

    Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre. UNOSAT is not responsible for the misuse or misrepresentation of the map.

  20. Country Population Estimates, 2015, from United Nations

    • morocco.africageoportal.com
    • uneca.africageoportal.com
    • +3more
    Updated Jun 2, 2017
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    Urban Observatory by Esri (2017). Country Population Estimates, 2015, from United Nations [Dataset]. https://morocco.africageoportal.com/maps/3b73e30bee2548db805739b8e69695cf
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    Dataset updated
    Jun 2, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This map contains estimates for total population by country from 1950 to 2015. Symbology changes slightly when zoomed in to individual continents (1:50,000,000). Source: United Nations Population Division, Department of Economic and Social Affairs, World Population Prospects: The 2015 Revision, File POP/1-1.Estimates are in thousands. Other fields in the Country Population Estimates layer include: Major Region (e.g. Africa), Minor Region (e.g. Eastern Africa), and UN Documentation Notes. The UN Documentation Notes field corresponds to the following notes:(1) Including Agalega, Rodrigues and Saint Brandon.(2) Including Zanzibar.(3) Including Ascension and Tristan da Cunha.(4) For statistical purposes, the data for China do not include Hong Kong and Macao, Special Administrative Regions (SAR) of China, and Taiwan Province of China.(5) As of 1 July 1997, Hong Kong became a Special Administrative Region (SAR) of China.(6) As of 20 December 1999, Macao became a Special Administrative Region (SAR) of China.(7) The regions Southern Asia and Central Asia are combined into South-Central Asia.(8) Including Sabah and Sarawak.(9) Including Nagorno-Karabakh.(10) Refers to the whole country(11) Including Abkhazia and South Ossetia.(12) Including East Jerusalem.(13) Including Transnistria.(14) Including Crimea(15) Refers to Guernsey, and Jersey.(16) Including Åland Islands.(17) Including Svalbard and Jan Mayen Islands.(18) Refers to the Vatican City State.(19) Including Kosovo.(20) Including Canary Islands, Ceuta and Melilla.(21) The former Yugoslav Republic of Macedonia.(22) Refers to Bonaire, Saba and Sint Eustatius.(23) Including Saint-Barthélemy and Saint-Martin (French part).(24) Including Christmas Island, Cocos (Keeling) Islands and Norfolk Island.(25) Including Pitcairn.

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Geospatial Information Section, United Nations (UN-GIS), International Boundaries Coastalines - UNmap (2018) [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/25db6f28-a0e7-491f-9975-eae2e6b65ed2
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International Boundaries Coastalines - UNmap (2018)

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www:link-1.0-http--linkAvailable download formats
Dataset provided by
United Nationshttp://un.org/
Time period covered
2015
Area covered
Antarctica, Antarctic Ice shield
Description

United Nations map (known as UNmap) is a worldwide geospatial database consisting of country and geographic name information on a global scale. The data is designed for the production of cartographic documents and maps, including their dissemination via public electronic networks, for the Secretariat of the United Nations.The United Nations maintains the Data as a courtesy to those who may choose to access the Data. The Data is provided “as is”, without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement.

Disclaimers: - The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. - The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. - Dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. - The final status of Jammu and Kashmir has not yet been agreed upon by the parties. - Final boundary between the Republic of Sudan and the Republic of South Sudan has not yet been determined. - Final status of the Abyei area is not yet determined. - A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning sovereignty over the Falkland Islands (Malvinas).

Generalization parametrisation for the data is developed based on the work of Douglas and Peucker (1973), Wang (1996) and the Polynomial Approximation with Exponential Kernel algorithm.The adequate generalized data should be used for the intended dissemination scale and not rely on software or platform-automated generalization as some specific geographic features are removed at scales. For instance, the region of Abyei is not included at the scale of 1:25 million but is included at lower scales.

Maps produced using this layer should be featured with the appropriate disclaimer depending on the shown area.

Source: United Nations International and Administrative Boundaries Resources

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