5 datasets found
  1. d

    Ward 2025 - Dataset - data.govt.nz - discover and use data

    • catalogue.data.govt.nz
    Updated Dec 15, 2024
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    (2024). Ward 2025 - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/ward-2025
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    Dataset updated
    Dec 15, 2024
    License

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

    Area covered
    New Zealand
    Description

    Refer to the current geographies boundaries table for a list of all current geographies and recent updates. This dataset is the definitive version of the annually released ward boundaries as at 1 January 2025, as defined by the territorial authorities and/or Local Government Commission and maintained by Stats NZ. This version contains 224 wards, excluding ‘area outside ward’. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. Wards were originally set up within any territorial authority with a population of at least 20,000. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system. Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections. Wards are defined at meshblock level, and do not coincide with the statistical area 1 (SA1), statistical area 2 (SA2), or statistical area 3 (SA3) geographies. Numbering Wards are numbered based on their corresponding territorial authority. Each ward has a unique five-digit number. The first three digits represent the territorial authority that the ward lies within. The following two digits are sequential and represent the number of wards within a territorial authority. For example, Westland District (057) has three wards, which are coded 05701, 05702, and 05703. Some territorial authorities do not use wards. In the classification, these territorial authorities use ‘99’ for the last two digits of the ward code, and the descriptor “Area Outside Ward”. ​ High-definition version This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre. ​ Macrons Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’. ​ Digital data Digital boundary data became freely available on 1 July 2007. ​ Further information To download geographic classifications in table formats such as CSV please use Ariā For more information please refer to the Statistical standard for geographic areas 2023. Contact: geography@stats.govt.nz

  2. r

    Mossman River Adjoint Catchments - Mossman adjoint catchment areas from a 30...

    • researchdata.edu.au
    Updated Jun 17, 2010
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    James Cook University (2010). Mossman River Adjoint Catchments - Mossman adjoint catchment areas from a 30 m digital elevation model [Dataset]. https://researchdata.edu.au/mossman-river-adjoint-catchments-mossman-adjoint-catchment-areas-from-a-30-m-digital-elevation-model
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    Dataset updated
    Jun 17, 2010
    Dataset provided by
    James Cook University
    Area covered
    Mossman River
    Description

    This dataset is the Mossman River adjoint catchment areas created using ArcHydro 1.3, with a stream definition threshold of 5,000 cells. The Mossman River catchment is located in the Wet Tropics region of northeast Queensland Australia. Stream definition was determined from a flow accumulation grid which was generated from a 30 m digital elevation model (S. R. Januchowski, R. L. Pressey, J. VanDerWal and A. Edwards. 2010. Characterizing errors in digital elevation models and estimating the financial costs of accuracy. International Journal of Geographical Information Science. in press.) Purpose: This data set has been designed to inform conservation and management planning and decision making exercise related to freshwater ecosystems. The sub catchments have been delineated from a 30 m digital elevation model, and therefore, are suitable for addressing catchment management questions at a regional scale. History: This dataset is the Mossman River adjoint catchment areas created using ArcHydro 1.3, with a stream definition threshold of 5,000 cells. Stream definition was determined from a flow accumulation grid which was generated from a 30 m digital elevation model (DEM). The Adjoint Catchments are the aggregated upstream catchments from the "Catchment" feature class. For each catchment that is not a head catchment, a polygon representing the whole upstream area draining to its inlet point is constructed and stored in a feature class. The DEM was created using a combination of digital topographic contour lines and point data derived from the SRTM high-resolution digital topographic database (http://www2.jpl.nasa.gov/srtm/). The specifications and accuracy of this model are reported in S. R. Januchowski, R. L. Pressey, J. VanDerWal and A. Edwards. 2010. Characterizing errors in digital elevation models and estimating the financial costs of accuracy. International Journal of Geographical Information Science. in press. The topographic contour data had a 20 m positional accuracy (vertical and horizontal).The DEM had a vertical accuracy of 17.53 m in higher-relief areas and 6.31 in low-relief areas.

  3. Medical Service Study Areas

    • data.ca.gov
    • data.chhs.ca.gov
    • +2more
    Updated Dec 6, 2024
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    Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.ca.gov/dataset/medical-service-study-areas
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    arcgis geoservices rest api, geojson, kml, zip, html, csvAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Department of Health Care Access and Information
    License

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

    Description
    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).

    Check the Data Dictionary for field descriptions.


    Checkout the California Healthcare Atlas for more Medical Service Study Area information.

    This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.


    <a href="https://hcai.ca.gov/">https://hcai.ca.gov/</a>

    Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

    MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.
  4. d

    Ward 2025 Clipped - Dataset - data.govt.nz - discover and use data

    • catalogue.data.govt.nz
    Updated Dec 2, 2024
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    (2024). Ward 2025 Clipped - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/ward-2025-clipped
    Explore at:
    Dataset updated
    Dec 2, 2024
    License

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

    Area covered
    New Zealand
    Description

    Refer to the current geographies boundaries table for a list of all current geographies and recent updates. This dataset is the definitive version of the annually released ward boundaries as at 1 January 2025, as defined by the territorial authorities and/or Local Government Commission and maintained by Stats NZ, clipped to the coastline. This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 224 wards, excluding ‘area outside ward’. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. Wards were originally set up within any territorial authority with a population of at least 20,000. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system. Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections. Wards are defined at meshblock level, and do not coincide with the statistical area 1 (SA1), statistical area 2 (SA2), or statistical area 3 (SA3) geographies. Numbering Wards are numbered based on their corresponding territorial authority. Each ward has a unique five-digit number. The first three digits represent the territorial authority that the ward lies within. The following two digits are sequential and represent the number of wards within a territorial authority. For example, Westland District (057) has three wards, which are coded 05701, 05702, and 05703. Some territorial authorities do not use wards. In the classification, these territorial authorities use ‘99’ for the last two digits of the ward code, and the descriptor “Area Outside Ward”. ​ Clipped Version This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries. High-definition version This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre. ​ Macrons Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’. ​ Digital data Digital boundary data became freely available on 1 July 2007. ​ Further information To download geographic classifications in table formats such as CSV please use Ariā For more information please refer to the Statistical standard for geographic areas 2023. Contact: geography@stats.govt.nz

  5. G

    Modern treaties

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +3more
    csv, esri rest +5
    Updated Feb 25, 2025
    + more versions
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    Crown-Indigenous Relations and Northern Affairs Canada (2025). Modern treaties [Dataset]. https://open.canada.ca/data/en/dataset/be54680b-ea62-46f3-aaa9-7644ed970aef
    Explore at:
    csv, kml, wfs, esri rest, wms, shp, fgdb/gdbAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    Crown-Indigenous Relations and Northern Affairs Canadahttp://www.aadnc-aandc.gc.ca/
    License

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

    Description

    The Modern treaties (formerly known as the Post-1975 treaties) dataset contains geographic boundaries as well as basic attribute data representing signed agreements that were negotiated between Indigenous groups, the Government of Canada, and provincial and territorial governments after 1975. These boundaries represent the areas of Canada where Indigenous land rights and title have not been addressed by treaty or through other legal means. These boundaries represent the final result of a negotiated First Nation’s claimed area. These boundaries are usually not surveyed but help to delineate the geographic extent of the rights of Indigenous beneficiaries defined within the agreement. The Modern treaties dataset includes: 1) Overall Treaty Area (OTA) which is the broad area to which the agreement applies, often composed of the sum of the specific geographies defined within the treaty. 2) Treaty Settlement Lands that is wholly Indigenous-owned and forms part of the “land and cash” settlements that are integral to the treaty. This category belongs to the Department of Natural Resources Canada and can be found on the Open data website as ‘‘Aboriginal Lands’’ classified as ‘‘Land Claim’’. 3) Treaty-Specified Rights Areas which category pertains to areas (lands or waters) where specific rights, activities or responsibilities apply pursuant to the treaty. 4) Other Treaty-related Geography is the catch-all category for any remaining geographies that do not fit within the aforementioned categories but do form part of the OTA, such as lands or marine areas designated for conservation or for specific projects. For more information about Modern treaties, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100028574/1529354437231#chp4. The Modern treaties dataset is one of multiple datasets representing treaties and agreements between the Crown and Indigenous peoples. The Crown-Indigenous treaties and agreements geospatial datasets represent the geographic boundaries of the solemn agreements between the Crown and Indigenous peoples that set out promises, obligations and benefits for parties. The following datasets are also available: 1) The Historic treaties (formerly known as the Pre-1975 treaties) dataset, which represents most signed treaties that were negotiated between Indigenous peoples and the Crown between 1725 and 1929. 2) The Indigenous agreements dataset, which represents established protocols in place for consultation processes, self-government agreements, and other signed agreements between Indigenous groups and the Crown which do not fall into the aforementioned categories. The Modern treaties dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC)’s primary source for Modern treaties geographic boundaries on maps. This dataset can also be viewed in the Aboriginal and Treaty Rights Information System (ATRIS). This web-based system provides access to information to inform governments, industry and other interested parties in determining their consultation obligations and in carrying out their consultation research. For more information, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100014686/1609421785838.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2024). Ward 2025 - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/ward-2025

Ward 2025 - Dataset - data.govt.nz - discover and use data

Explore at:
Dataset updated
Dec 15, 2024
License

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

Area covered
New Zealand
Description

Refer to the current geographies boundaries table for a list of all current geographies and recent updates. This dataset is the definitive version of the annually released ward boundaries as at 1 January 2025, as defined by the territorial authorities and/or Local Government Commission and maintained by Stats NZ. This version contains 224 wards, excluding ‘area outside ward’. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. Wards were originally set up within any territorial authority with a population of at least 20,000. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system. Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections. Wards are defined at meshblock level, and do not coincide with the statistical area 1 (SA1), statistical area 2 (SA2), or statistical area 3 (SA3) geographies. Numbering Wards are numbered based on their corresponding territorial authority. Each ward has a unique five-digit number. The first three digits represent the territorial authority that the ward lies within. The following two digits are sequential and represent the number of wards within a territorial authority. For example, Westland District (057) has three wards, which are coded 05701, 05702, and 05703. Some territorial authorities do not use wards. In the classification, these territorial authorities use ‘99’ for the last two digits of the ward code, and the descriptor “Area Outside Ward”. ​ High-definition version This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre. ​ Macrons Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’. ​ Digital data Digital boundary data became freely available on 1 July 2007. ​ Further information To download geographic classifications in table formats such as CSV please use Ariā For more information please refer to the Statistical standard for geographic areas 2023. Contact: geography@stats.govt.nz

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