100+ datasets found
  1. a

    US Army Corps of Engineers (USACE) Civil Works Districts

    • hifld-geoplatform.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Aug 27, 2024
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    GeoPlatform ArcGIS Online (2024). US Army Corps of Engineers (USACE) Civil Works Districts [Dataset]. https://hifld-geoplatform.hub.arcgis.com/datasets/us-army-corps-of-engineers-usace-civil-works-districts/about
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 05/05/20 - Update to show new LRC boundary. Minor change between LRL and LRH. 07/31/24 - Update to show new SAA Caribbean District.

  2. d

    Allegheny County Department of Public Works Maintenance District Boundaries

    • catalog.data.gov
    • data.wprdc.org
    • +4more
    Updated May 14, 2023
    + more versions
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    Allegheny County (2023). Allegheny County Department of Public Works Maintenance District Boundaries [Dataset]. https://catalog.data.gov/dataset/allegheny-county-department-of-public-works-maintenance-district-boundaries
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    Dataset updated
    May 14, 2023
    Dataset provided by
    Allegheny County
    Area covered
    Allegheny County
    Description

    If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Civic Vitality and Governance Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: current Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

  3. c

    Job Centers - SCAG region

    • hub.scag.ca.gov
    • hub.arcgis.com
    • +1more
    Updated Mar 12, 2021
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    rdpgisadmin (2021). Job Centers - SCAG region [Dataset]. https://hub.scag.ca.gov/datasets/5a9796e44aba46f1b217af1b211ce2ac
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    Dataset updated
    Mar 12, 2021
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    Data Source: The primary data source used for this analysis are point-level business establishment data from InfoUSA. This commercial database produced by InfoGroup provides a comprehensive list of businesses in the SCAG region, including their industrial classification, number of employees, and several additional fields. Data have been post-processed for accuracy by SCAG staff and have an effective date of 2016. Locally-weighted regression: First, the SCAG region is overlaid with a grid, or fishnet, of 1km, 2km, and ½-km per cell. At the 1km cell size, there are 16,959 cells covering the SCAG region. Using the Spatial Join feature in ArcGIS, a sum total of business establishments and total employees (i.e., not separated by industrial classification) were joined to each grid cell. Note that since cells are of a standard size, the employment total in a cell is the equivalent of the employment density. A locally-weighted regression (LWR) procedure was developed using the R Statistical Software package in order to identify subcenters. The below procedure is described for 1km grid cells, but was repeated for 2km and 1/2km cells. 1.) Identify local maxima candidates. Using R’s lwr package, each cell’s 120 nearest neighbors, corresponding to roughly 5.5 km in each direction, was explored to identify high outliers or local maxima based on the total employment field. Cells with a z-score of above 2.58 were considered local maxima candidates. 2.) Identify local maxima. LWR can result in local maxima existing within close proximity. This step used a .dbf-format spatial weights matrix (knn=120 nearest neighbors) to identify only cells which are higher than all of their 120 nearest neighbors. At the 1km scale, 84 local maxima were found, which will form the “peak” of each individual subcenter. 3.) Search adjacent cells to include as part of each subcenter. In order to find which cells also are part of each local maximum’s subcenter, we use a queen (adjacency) contiguity matrix to search adjacent cells up to 120 nearest neighbors, adding cells if they are also greater than the average density in their neighborhood. A total of 695 cells comprise subcenters at the 1km scale. A video from Kane et al. (2018) demonstrates the above aspects of the methodology (please refer to 0:35 through 2:35 of https://youtu.be/ylTWnvCCO54), with the following differences: - Different years and slightly different post-processing steps for InfoUSA data - Video study covers 5-county region (Imperial county not included) - Limited to 1km scale subcenters - Due to these differences, the final map of subcenters is different. A challenge arises in that using 1km grid cells may fail to identify the correct local maximum for a particularly large employment center whose experience of high density occurs over a larger area. The process was repeated at a 2km scale, resulting in 54 “coarse scaled” subcenters. Similarly, some centers may exist with a particularly tightly-packed area of dense employment which is not detectable at the medium, 1km scale. The process was repeated again with ½-km grid cells, resulting in 95 “fine scaled” subcenters. In many instances, boundaries of fine, medium, and coarse scaled subcenters were similar, but differences existed. The final step involved qualitatively comparing results at each scale to create the final map of 69 job centers across the region. Most centers are medium scale, but some known areas of especially employment density were better captured at the 2km scale while . Giuliano and Small’s (1991) “ten jobs per acre” threshold was used as a rough guide to test for reasonableness when choosing a larger or smaller scale. For example, in some instances, a 1km scale included much additional land which reduced job density well below 10 jobs per acre. In this instance, an overlapping or nearby 1/2km scaled center provided a better reflection of the local employment peak. Ultimately, the goal was to identify areas where job density is distinct from nearby areas.

  4. c

    Central Employment Areas

    • s.cnmilf.com
    • opendata.dc.gov
    • +5more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). Central Employment Areas [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/central-employment-areas
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    The dataset includes polygons representing the _location and attributes of Central Employment Area (CEA). The CEA is the core area of the District of Columbia where the greatest concentration of employment in the city and region is encouraged, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Jurisdictions were identified from public records (map and written description created by the National Capital Planning Commission) and heads-up digitized from the 1995 orthophotographs.

  5. a

    Our GIS Work

    • it-gis-gslmsd.hub.arcgis.com
    • gis-request-management-1-utahdnr.hub.arcgis.com
    • +14more
    Updated Oct 1, 2024
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    Greater Salt Lake Municipal Services District (2024). Our GIS Work [Dataset]. https://it-gis-gslmsd.hub.arcgis.com/datasets/our-gis-work-1
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    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    Greater Salt Lake Municipal Services District
    License
    Description

    An ArcGIS Dashboard used in the ArcGIS Hub site, GIS Service Center, to share information with the organization.

  6. e

    Uganda - District Boundaries - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Nov 11, 2019
    + more versions
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    (2019). Uganda - District Boundaries - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/district-boundaries-2014
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    Dataset updated
    Nov 11, 2019
    License

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

    Area covered
    Uganda
    Description

    The datasets are sourced from the Ugandan Energy Sector GIS Working Group Open Data Site, developed and maintained by the Ugandan Energy Sector GIS Working Group. The Ugandan Energy Sector GIS Working Group’s mission is to develop a high quality GIS for the Energy Sector of Uganda in order to drive informed decision-making. As such, it brings datasets together in one place, organize them, keep them updated, and make public data available to all stakeholders. Link: http://data-energy-gis.opendata.arcgis.com/

  7. m

    MassDEP Estimated Sewer System Service Area Boundaries (Feature Service)

    • gis.data.mass.gov
    • hub.arcgis.com
    • +2more
    Updated Feb 28, 2025
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    MassGIS - Bureau of Geographic Information (2025). MassDEP Estimated Sewer System Service Area Boundaries (Feature Service) [Dataset]. https://gis.data.mass.gov/datasets/massdep-estimated-sewer-system-service-area-boundaries-feature-service
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    Terms of Use:

    Data Limitations Disclaimer

    The MassDEP Estimated Sewer System Service Area Boundaries datalayer may not be complete, may contain errors, omissions, and other inaccuracies, and the data are subject to change. The user’s use of and/or reliance on the information contained in the Document (e.g. data) shall be at the user’s own risk and expense. MassDEP disclaims any responsibility for any loss or harm that may result to the user of this data or to any other person due to the user’s use of the Document.

    All sewer service area delineations are estimates for broad planning purposes and should only be used as a guide. The data is not appropriate for site-specific or parcel-specific analysis. Not all properties within a sewer service area are necessarily served by the system, and some properties outside the mapped service areas could be served by the wastewater utility – please contact the relevant wastewater system. Not all service areas have been confirmed by the sewer system authorities.

    This is an ongoing data development project. Attempts have been made to contact all sewer/wastewater systems, but not all have responded with information on their service area. MassDEP will continue to collect and verify this information. Some sewer service areas included in this datalayer have not been verified by the POTWs, privately-owned treatment works, GWDPs, or the municipality involved, but since many of those areas are based on information published online by the municipality, the utility, or in a publicly available report, they are included in the estimated sewer service area datalayer.

    Please use the following citation to reference these data

    MassDEP. Water Utility Resilience Program. 2025. Publicly-Owned Treatment Work and Non-Publicly-Owned Sewer Service Areas (PubV2024_12).

    We want to learn about the data uses. If you use this dataset, please notify staff in the Water Resilience program (WURP@mass.gov).

    Layers and Tables:

    The MassDEP Estimated Sewer System Service Area data layer comprises two feature classes and a supporting table:

    Publicly-Owned Treatment Works (POTW) Sewer Service Areas feature class SEWER_SERVICE_AREA_POTW_POLY includes polygon features for sewer service areas systems operated by publicly owned treatment works (POTWs)Non-Publicly Owned Treatment Works (NON-POTW) Sewer Service Areas feature class SEWER_SERVICE_AREA_NONPOTW_POLY includes polygon features for sewer service areas for operated by NON publicly owned treatment works (NON-POTWs)The Sewer Service Areas Unlocated Sites table SEWER_SERVICE_AREA_USL contains a list of known, unmapped active POTW and NON-POTW services areas at the time of publication.

    ProductionData Universe

    Effluent wastewater treatment plants in Massachusetts are permitted either through the Environmental Protection Agency’s (EPA) National Pollutant Discharge Elimination System (NPDES) surface water discharge permit program or the MassDEP Groundwater Discharge Permit Program. The WURP has delineated active service areas served by publicly and privately-owned effluent treatment works with a NPDES permit or a groundwater discharge permit.

    National Pollutant Discharge Elimination System (NPDES) Permits

    In the Commonwealth of Massachusetts, the EPA is the permitting authority for regulating point sources that discharge pollutants to surface waters. NPDES permits regulate wastewater discharge by limiting the quantities of pollutants to be discharged and imposing monitoring requirements and other conditions. NPDES permits are typically co-issued by EPA and the MassDEP. The limits and/or requirements in the permit ensure compliance with the Massachusetts Surface Water Quality Standards and Federal Regulations to protect public health and the aquatic environment. Areas served by effluent treatment plants with an active NPDES permit are included in this datalayer based on a master list developed by MassDEP using information sourced from the EPA’s Integrated Compliance Information System (ICIS).

    Groundwater Discharge (GWD) Permits

    In addition to surface water permittees, the WURP has delineated all active systems served by publicly and privately owned effluent treatment works with groundwater discharge (GWD) permits, and some inactive service areas. Groundwater discharge permits are required for systems discharging over 10,000 GPD sanitary wastewater – these include effluent treatment systems for public, district, or privately owned effluent treatment systems. Areas served by an effluent treatment plant with an active GWD permit are included in this datalayer based on lists received from MassDEP Wastewater staff.

    Creation of Unique IDs for Each Service Area

    The Sewer Service Area datalayer contains polygons that represent the service area of a particular wastewater system within a particular municipality. Every discharge permittee is assigned a unique NPDES permit number by EPA or a unique GWD permit identifier by MassDEP. MassDEP WURP creates a unique Sewer_ID for each service area by combining the municipal name of the municipality served with the permit number (NPDES or GWD) ascribed to the sewer that is serving that area. Some municipalities contain more than one sewer system, but each sewer system has a unique Sewer_ID. Occasionally the area served by a sewer system will overlap another town by a small amount – these small areas are generally not given a unique ID. The Estimated sewer Service Area datalayer, therefore, contains polygons with a unique Sewer_ID for each sewer service area. In addition, some municipalities will have multiple service areas being served by the same treatment plant – the Sewer_ID for these will contain additional identification, such as the name of the system, to uniquely identify each system.

    Classifying System Service Areas

    WURP staff reviewed the service areas for each system and, based on OWNER_TYPE, classified as either a publicly-owned treatment work (POTW) or a NON-POTW (see FAC_TYPE field). Each service area is further classified based on the population type served (see SECTOR field).

    Methodologies and Data Sources

    Several methodologies were used to create service area boundaries using various sources, including data received from the sewer system in response to requests for information from the MassDEP WURP project, information on file at MassDEP, and service area maps found online at municipal and wastewater system websites. When MassDEP received sewer line data rather than generalized areas, 300-foot buffers were created around the sewer lines to denote service areas and then edited to incorporate generalizations. Some municipalities submitted parcel data or address information to be used in delineating service areas. Many of the smaller GWD permitted sewer service areas were delineated using parcel boundaries related to the address on file.

    Verification Process

    Small-scale pdf file maps with roads and other infrastructure were sent to systems for corrections or verifications. If the system were small, such as a condominium complex or residential school, the relevant parcels were often used as the basis for the delineated service area. In towns where 97% or more of their population is served by the wastewater system and no other service area delineation was available, the town boundary was used as the service area boundary. Some towns responded to the request for information or verification of service areas by stating that the town boundary should be used since all, or nearly all, of the municipality is served by one wastewater system.

    To ensure active systems are mapped, WURP staff developed two work flows. For NPDES-permitted systems, WURP staff reviewed available information on EPA’s ICIS database and created a master list of these systems. Staff will work to routinely update this master list by reviewing the ICIS database for new NPDES permits. The master list will serve as a method for identifying active systems, inactive systems, and unmapped systems. For GWD permittees, GIS staff established a direct linkage to the groundwater database, which allows for populating information into data fields and identifying active systems, inactive systems, and unmapped systems.

    All unmapped systems are added to the Sewer Service Area Unlocated List (SEWER_SERVICE_AREAS_USL) for future mapping. Some service areas have not been mapped but their general location is represented by a small circle which serves as a placeholder - the location of these circles are estimated based on the general location of the treatment plant or the general estimated location of the service area - these do not represent the actual service area.

    Percent Served Statistics The attribute table for the POTW sewer service areas (SEWER_SERVICE_AREA_POTW_POLY) has several fields relating to the percent of the town served by the particular system and one field describing the percent of town served by all systems in the town. The field ‘Percent AREA Served by System’ is strictly a calculation done dividing the area of the system by the total area of the town and multiplying by 100. In contrast, the field ‘Percent Served by System’, is not based on a particular calculation or source – it is an estimate based on various sources – these estimates are for planning purposes only. Data includes information from municipal websites and associated plans, the 1990 Municipal Priority list from CMR 310 14.17, the 2004 Pioneer Institute for Public Policy Research “percent on sewer” document, information contained on NPDES Permits and MassDEP Wastewater program staff input. Not all POTW systems have percent served statistics. Percentage may reflect the percentage of parcels served, the percent of area within a community served or the population served and should not be used for legal boundary definition or regulatory interpretation.

    Sources of information for estimated wastewater service areas:

    EEOA Water Assets

  8. d

    5.02 New Jobs Created (summary)

    • catalog.data.gov
    • data.tempe.gov
    • +8more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). 5.02 New Jobs Created (summary) [Dataset]. https://catalog.data.gov/dataset/5-02-new-jobs-created-summary-3cc9b
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    Tempe is among Arizona's most educated cities, lending to a creative, smart atmosphere. With more than a dozen colleges, trade schools and universities, about 40 percent of our residents over the age of 25 have Bachelor's degrees or higher. Having such an educated and accessible workforce is a driving factor in attracting and growing jobs for residents in the region.The City of Tempe is a member of the Greater Phoenix Economic Council (GPEC) and with the membership staff tracks collaborative efforts to recruit business prospects and locates. The Greater Phoenix Economic Council (GPEC) is a performance-driven, public-private partnership. GPEC partners with the City of Tempe, Maricopa County, 22 other communities and more than 170 private-sector investors to promote the region’s competitive position and attract quality jobs that enable strategic economic growth and provide increased tax revenue for Tempe.This dataset provides the target and actual job creation numbers for the City of Tempe and Greater Phoenix Economic Council (GPEC). The job creation target for Tempe is calculated by multiplying GPEC's target by twice Tempe's proportion of the population.This page provides data for the New Jobs Created performance measure.The performance measure dashboard is available at 5.02 New Jobs Created.Additional InformationSource:Contact: Madalaine McConvilleContact Phone: 480-350-2927Data Source Type: Excel filesPreparation Method: Extracted from GPEC monthly and annual reports and proprietary excel filesPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

  9. a

    Water Management District Boundaries

    • mapdirect-fdep.opendata.arcgis.com
    • floridagio.gov
    • +3more
    Updated Mar 1, 2016
    + more versions
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    South Florida Water Management District (2016). Water Management District Boundaries [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/sfwmd::water-management-district-boundaries/about
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    Dataset updated
    Mar 1, 2016
    Dataset authored and provided by
    South Florida Water Management Districthttps://www.sfwmd.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Florida Water Management District Boundaries. This dataset, provided by DEP, shows the extent of all 5 Water Management Districts in Florida. It uses the old DEP Florida County Shoreline as an edge. Water management districts in the State of Florida work in collaboration with the Florida Department of Environmental Protection under the Florida Water Resources Act (Chapter 373, Florida Statutes). The water management districts and FDEP work together to resolve statewide water planning and management issues pertaining to water supply, flood protection, floodplain management, water quality, and protection of natural systems.

  10. a

    Public Works Landscape Maintenance Districts (Public View)

    • hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Jan 10, 2020
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    County of Los Angeles (2020). Public Works Landscape Maintenance Districts (Public View) [Dataset]. https://hub.arcgis.com/maps/a80a29aec1734f4389003e8b3730b5c7
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    A Landscape Maintenance District (LMD) is a special district formed to provide benefiting property owners the opportunity to pay for enhanced landscaping and appurtenant improvements, maintenance, and services beyond those generally provided by the County of Los Angeles.The County Department of Public Works LMDs annually levy and collect special assessments in order to maintain landscape improvements. These improvements are located within three (3) Landscaping and Lighting Act (LLA) Districts established pursuant to the Landscaping and Lighting Act of 1972, Part 2 of Division 15 of the California Streets and Highways Code (the “1972 Act”).If you have any questions about this content, please contact Mr. Steven Gutierrez at sgutierrez@pw.lacounty.gov

  11. N

    NMFWRI GIS/Mapping

    • catalog.newmexicowaterdata.org
    html
    Updated Oct 23, 2023
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    New Mexico Forest and Watershed Restoration Institute (2023). NMFWRI GIS/Mapping [Dataset]. https://catalog.newmexicowaterdata.org/dataset/nmfwri-gis-mapping
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    htmlAvailable download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    New Mexico Forest and Watershed Restoration Institute
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    NMFWRI represents the state’s only dedicated capability for supporting the spatial data analysis needs of external stakeholders in the natural resources sector, as well as the GIS/GPS capacity for Highlands University and for most of northern New Mexico. NMFWRI’s GIS work also provides help with maps and other geographic information to New Mexico groups engaged in forest restoration and land management, but who are too small to maintain their own GIS capability. These groups include soil and water conservation districts, municipalities, private groups and individuals, and tribal organizations.

  12. HUD GIS Boundary Files

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). HUD GIS Boundary Files [Dataset]. https://catalog.data.gov/dataset/hud-gis-boundary-files
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    The HUD GIS Boundary Files are intended to supplement boundary files available from the U.S. Census Bureau. The files are for community planners interested in working with census tract and block group data that splits by jurisdiction boundaries (summary levels 080, 090, and 091). The GIS shape files are most helpful when linked with census tract and block group data downloaded from the census standard tabulation data, CDBG low/mod area data (summary level 090), or the CHAS 2000 data (summary levels 080 and 091).

  13. c

    California School District Areas 2023-24

    • gis.data.ca.gov
    • data.ca.gov
    • +3more
    Updated Jul 10, 2024
    + more versions
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    California Department of Education (2024). California School District Areas 2023-24 [Dataset]. https://gis.data.ca.gov/datasets/CDEGIS::california-school-district-areas-2023-24
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    Dataset updated
    Jul 10, 2024
    Dataset authored and provided by
    California Department of Education
    Area covered
    Description

    This layer serves as the authoritative geographic data source for all school district area boundaries in California. School districts are single purpose governmental units that operate schools and provide public educational services to residents within geographically defined areas. Agencies considered school districts that do not use geographically defined service areas to determine enrollment are excluded from this data set. In order to view districts represented as point locations, please see the "California School District Offices" layer. The school districts in this layer are enriched with additional district-level attribute information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.School districts are categorized as either elementary (primary), high (secondary) or unified based on the general grade range of the schools operated by the district. Elementary school districts provide education to the lower grade/age levels and the high school districts provide education to the upper grade/age levels while unified school districts provide education to all grade/age levels in their service areas. Boundaries for the elementary, high and unified school district layers are combined into a single file. The resulting composite layer includes areas of overlapping boundaries since elementary and high school districts each serve a different grade range of students within the same territory. The 'DistrictType' field can be used to filter and display districts separately by type.Boundary lines are maintained by the California Department of Education (CDE) and are effective in the 2023-24 academic year . The CDE works collaboratively with the US Census Bureau to update and maintain boundary information as part of the federal School District Review Program (SDRP). The Census Bureau uses these school district boundaries to develop annual estimates of children in poverty to help the U.S. Department of Education determine the annual allocation of Title I funding to states and school districts. The National Center for Education Statistics (NCES) also uses the school district boundaries to develop a broad collection of district-level demographic estimates from the Census Bureau’s American Community Survey (ACS).The school district enrollment and demographic information are based on student enrollment counts collected on Fall Census Day (first Wednesday in October) in the 2023-24 academic year. These data elements are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as publicly downloadable files from the Data & Statistics web page on the CDE website https://www.cde.ca.gov/ds.

  14. A

    USACE Civil Works Districts

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jul 28, 2019
    + more versions
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    United States[old] (2019). USACE Civil Works Districts [Dataset]. https://data.amerigeoss.org/es/dataset/usace-civil-works-districts
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    esri rest, html, csv, kml, geojson, zipAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States[old]
    Description

    Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 08/01/18 - Update to correct the boundary between Baltimore and Norfolk districts.

  15. g

    Targeted Employment Area

    • gimi9.com
    • hub.arcgis.com
    Updated Dec 4, 2024
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    (2024). Targeted Employment Area [Dataset]. https://gimi9.com/dataset/data-gov_targeted-employment-area
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    Dataset updated
    Dec 4, 2024
    License

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

    Description

    Targeted Employment Areas. The dataset contains locations and attributes of Targeted Employment Area, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies.

  16. b

    Travel Time to Work

    • geodata.bts.gov
    • gimi9.com
    • +2more
    Updated Oct 7, 2021
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    U.S. Department of Transportation: ArcGIS Online (2021). Travel Time to Work [Dataset]. https://geodata.bts.gov/datasets/usdot::travel-time-to-work/about
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    Dataset updated
    Oct 7, 2021
    Dataset authored and provided by
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Travel Time to Work dataset was compiled using information from December 31, 2023 and updated December 12, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Travel Time to Work table from the 2023 American Community Survey (ACS) 5-year estimates was joined to 2023 tract-level geographies for all 50 States, District of Columbia and Puerto Rico provided by the Census Bureau. A new file was created that combines the demographic variables from the former with the cartographic boundaries of the latter. The national level census tract layer contains data on the number and percentage of commuters (workers 16 years and over who did not work from home) with a range of travel times to work.

  17. d

    GIS Data | Global Consumer Visitation Insights to Inform Marketing and...

    • datarade.ai
    .csv
    Updated Jun 12, 2024
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    GapMaps (2024). GIS Data | Global Consumer Visitation Insights to Inform Marketing and Operations Decisions | Location Data | Mobile Location Data [Dataset]. https://datarade.ai/data-products/gapmaps-gis-data-by-azira-global-mobile-location-data-cur-gapmaps
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    .csvAvailable download formats
    Dataset updated
    Jun 12, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    United States
    Description

    GapMaps GIS Data by Azira uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.

    Businesses can utilise GIS data to answer key questions including: - What is the demographic profile of customers visiting my locations? - What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations? - What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ? - How far do customers travel to visit my locations? - Where are the potential gaps in my store network for new developments?
    - What is the sales impact on an existing store if a new store is opened nearby? - Is my marketing strategy targeted to the right audience? - Where are my competitor's customers coming from?

    Mobile Location data provides a range of benefits that make it a valuable GIS Data source for location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical

    Azira have created robust screening methods to evaluate the quality of Mobile location data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.

    This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.

    Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.

    Use cases in Europe will be considered on a case to case basis.

  18. l

    Employment Protection District

    • data.lacounty.gov
    • geohub.lacity.org
    • +1more
    Updated May 28, 2020
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    County of Los Angeles (2020). Employment Protection District [Dataset]. https://data.lacounty.gov/datasets/employment-protection-district
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    Dataset updated
    May 28, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Employment Protection Districts are economically viable industrial and employment-rich areas, having policies that prevent the conversion of industrial land to non-industrial uses. These are for areas in UNINCORPORATED Los Angeles County only.Please see Figure 14.1 and the the Economic Development Element of the Los Angeles County General Plan 2035 for more information. https://planning.lacounty.gov/generalplan/Source: L.A. County Dept. of Regional Planning (DRP) GIS Section; created November 5, 2015.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

  19. BOEM BSEE Marine Cadastre Layers National Scale - OCS Oil & Gas Pipelines

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 16, 2016
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    US Bureau of Ocean Energy Management (BOEM) (2016). BOEM BSEE Marine Cadastre Layers National Scale - OCS Oil & Gas Pipelines [Dataset]. https://koordinates.com/layer/15435-boem-bsee-marine-cadastre-layers-national-scale-ocs-oil-gas-pipelines/
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    dwg, kml, mapinfo tab, geopackage / sqlite, mapinfo mif, geodatabase, shapefile, csv, pdfAvailable download formats
    Dataset updated
    Nov 16, 2016
    Dataset provided by
    Federal government of the United Stateshttp://www.usa.gov/
    Bureau of Ocean Energy Managementhttp://www.boem.gov/
    Authors
    US Bureau of Ocean Energy Management (BOEM)
    Area covered
    Description

    This dataset is a compilation of available oil and gas pipeline data and is maintained by BSEE. Pipelines are used to transport and monitor oil and/or gas from wells within the outer continental shelf (OCS) to resource collection locations. Currently, pipelines managed by BSEE are found in Gulf of Mexico and southern California waters.

    © MarineCadastre.gov This layer is a component of BOEMRE Layers.

    This Map Service contains many of the primary data types created by both the Bureau of Ocean Energy Management (BOEM) and the Bureau of Safety and Environmental Enforcement (BSEE) within the Department of Interior (DOI) for the purpose of managing offshore federal real estate leases for oil, gas, minerals, renewable energy, sand and gravel. These data layers are being made available as REST mapping services for the purpose of web viewing and map overlay viewing in GIS systems. Due to re-projection issues which occur when converting multiple UTM zone data to a single national or regional projected space, and line type changes that occur when converting from UTM to geographic projections, these data layers should not be used for official or legal purposes. Only the original data found within BOEM/BSEE’s official internal database, federal register notices or official paper or pdf map products may be considered as the official information or mapping products used by BOEM or BSEE. A variety of data layers are represented within this REST service are described further below. These and other cadastre information the BOEM and BSEE produces are generated in accordance with 30 Code of Federal Regulations (CFR) 256.8 to support Federal land ownership and mineral resource management.

    For more information – Contact: Branch Chief, Mapping and Boundary Branch, BOEM, 381 Elden Street, Herndon, VA 20170. Telephone (703) 787-1312; Email: mapping.boundary.branch@boem.gov

    The REST services for National Level Data can be found here: http://gis.boemre.gov/arcgis/rest/services/BOEM_BSEE/MMC_Layers/MapServer

    REST services for regional level data can be found by clicking on the region of interest from the following URL: http://gis.boemre.gov/arcgis/rest/services/BOEM_BSEE

    Individual Regional Data or in depth metadata for download can be obtained in ESRI Shape file format by clicking on the region of interest from the following URL: http://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspx

    Currently the following layers are available from this REST location:

    OCS Drilling Platforms -Locations of structures at and beneath the water surface used for the purpose of exploration and resource extraction. Only platforms in federal Outer Continental Shelf (OCS) waters are included. A database of platforms and rigs is maintained by BSEE.

    OCS Oil and Natural Gas Wells -Existing wells drilled for exploration or extraction of oil and/or gas products. Additional information includes the lease number, well name, spud date, the well class, surface area/block number, and statistics on well status summary. Only wells found in federal Outer Continental Shelf (OCS) waters are included. Wells information is updated daily. Additional files are available on well completions and well tests. A database of wells is maintained by BSEE.

    OCS Oil & Gas Pipelines -This dataset is a compilation of available oil and gas pipeline data and is maintained by BSEE. Pipelines are used to transport and monitor oil and/or gas from wells within the outer continental shelf (OCS) to resource collection locations. Currently, pipelines managed by BSEE are found in Gulf of Mexico and southern California waters.

    Unofficial State Lateral Boundaries - The approximate location of the boundary between two states seaward of the coastline and terminating at the Submerged Lands Act Boundary. Because most State boundary locations have not been officially described beyond the coast, are disputed between states or in some cases the coastal land boundary description is not available, these lines serve as an approximation that was used to determine a starting point for creation of BOEM’s OCS Administrative Boundaries. GIS files are not available for this layer due to its unofficial status.

    BOEM OCS Administrative Boundaries - Outer Continental Shelf (OCS) Administrative Boundaries Extending from the Submerged Lands Act Boundary seaward to the Limit of the United States OCS (The U.S. 200 nautical mile Limit, or other marine boundary)For additional details please see the January 3, 2006 Federal Register Notice.

    BOEM Limit of OCSLA ‘8(g)’ zone - The Outer Continental Shelf Lands Act '8(g) Zone' lies between the Submerged Lands Act (SLA) boundary line and a line projected 3 nautical miles seaward of the SLA boundary line. Within this zone, oil and gas revenues are shared with the coastal state(s). The official version of the ‘8(g)’ Boundaries can only be found on the BOEM Official Protraction Diagrams (OPDs) or Supplemental Official Protraction described below.

    Submerged Lands Act Boundary - The SLA boundary defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. The official version of the SLA Boundaries can only be found on the BOEM Official Protraction Diagrams (OPDs) or Supplemental Official Protraction Diagrams described below.

    Atlantic Wildlife Survey Tracklines(2005-2012) - These data depict tracklines of wildlife surveys conducted in the Mid-Atlantic region since 2005. The tracklines are comprised of aerial and shipboard surveys. These data are intended to be used as a working compendium to inform the diverse number of groups that conduct surveys in the Mid-Atlantic region.The tracklines as depicted in this dataset have been derived from source tracklines and transects. The tracklines have been simplified (modified from their original form) due to the large size of the Mid-Atlantic region and the limited ability to map all areas simultaneously.The tracklines are to be used as a general reference and should not be considered definitive or authoritative. This data can be downloaded from http://www.boem.gov/uploadedFiles/BOEM/Renewable_Energy_Program/Mapping_and_Data/ATL_WILDLIFE_SURVEYS.zip

    BOEM OCS Protraction Diagrams & Leasing Maps - This data set contains a national scale spatial footprint of the outer boundaries of the Bureau of Ocean Energy Management’s (BOEM’s) Official Protraction Diagrams (OPDs) and Leasing Maps (LMs). It is updated as needed. OPDs and LMs are mapping products produced and used by the BOEM to delimit areas available for potential offshore mineral leases, determine the State/Federal offshore boundaries, and determine the limits of revenue sharing and other boundaries to be considered for leasing offshore waters. This dataset shows only the outline of the maps that are available from BOEM.Only the most recently published paper or pdf versions of the OPDs or LMs should be used for official or legal purposes. The pdf maps can be found by going to the following link and selecting the appropriate region of interest. http://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspx Both OPDs and LMs are further subdivided into individual Outer Continental Shelf(OCS) blocks which are available as a separate layer. Some OCS blocks that also contain other boundary information are known as Supplemental Official Block Diagrams (SOBDs.) Further information on the historic development of OPD's can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf: http://www.boemre.gov/itd/pubs/1999/99-0006.PDF Also see the metadata for each of the individual GIS data layers available for download. The Official Protraction Diagrams (OPDs) and Supplemental Official Block Diagrams (SOBDs), serve as the legal definition for BOEM offshore boundary coordinates and area descriptions.

    BOEM OCS Lease Blocks - Outer Continental Shelf (OCS) lease blocks serve as the legal definition for BOEM offshore boundary coordinates used to define small geographic areas within an Official Protraction Diagram (OPD) for leasing and administrative purposes. OCS blocks relate back to individual Official Protraction Diagrams and are not uniquely numbered. Only the most recently published paper or pdf

  20. p

    Calendar 2024 of the Greater Region: wine and viticulture

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Sep 7, 2024
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2024). Calendar 2024 of the Greater Region: wine and viticulture [Dataset]. https://data.public.lu/en/datasets/calendar-2024-of-the-greater-region-wine-and-viticulture/
    Explore at:
    zip(2752), application/geo+json(7286), application/geopackage+sqlite3(90112)Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    Calendar 2024 of the Greater Region: wine and viticulture Data: Working party Land registry and mapping of the Summit of the Greater Region: Harmonization: GIS-GR 2023 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2384&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/30d3eb87-e5a6-48cd-8ba1-a93584d46957 This dataset is published in the view service (WMS) available at: http://ws.geoportail.lu/wss/service/GR_Agriculture_WMS/guest?service=WMS&request=GetCapabilities with layer name(s): -Wine_viticulture_calendar_2024

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GeoPlatform ArcGIS Online (2024). US Army Corps of Engineers (USACE) Civil Works Districts [Dataset]. https://hifld-geoplatform.hub.arcgis.com/datasets/us-army-corps-of-engineers-usace-civil-works-districts/about

US Army Corps of Engineers (USACE) Civil Works Districts

Explore at:
Dataset updated
Aug 27, 2024
Dataset authored and provided by
GeoPlatform ArcGIS Online
Area covered
Description

Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 05/05/20 - Update to show new LRC boundary. Minor change between LRL and LRH. 07/31/24 - Update to show new SAA Caribbean District.

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