31 datasets found
  1. California City Boundaries and Identifiers

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    Updated Feb 26, 2025
    + more versions
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    California Department of Technology (2025). California City Boundaries and Identifiers [Dataset]. https://data.ca.gov/dataset/california-city-boundaries-and-identifiers
    Explore at:
    zip, kml, csv, gpkg, arcgis geoservices rest api, geojson, html, txt, gdb, xlsxAvailable download formats
    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California City
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of March 2025. The schema changed in February 2025 - please see below. We will post a roadmap of upcoming changes, but service URLs and schema are now stable. For deployment status of new services in February 2025, see https://gis.data.ca.gov/pages/city-and-county-boundary-data-status. Additional roadmap and status links at the bottom of this metadata.

    This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose

    City boundaries along with third party identifiers used to join in external data. Boundaries are from the California Department of Tax and Fee Administration (CDTFA). These boundaries are the best available statewide data source in that CDTFA receives changes in incorporation and boundary lines from the Board of Equalization, who receives them from local jurisdictions for tax purposes. Boundary accuracy is not guaranteed, and though CDTFA works to align boundaries based on historical records and local changes, errors will exist. If you require a legal assessment of boundary location, contact a licensed surveyor.

    This dataset joins in multiple attributes and identifiers from the US Census Bureau and Board on Geographic Names to facilitate adding additional third party data sources. In addition, we attach attributes of our own to ease and reduce common processing needs and questions. Finally, coastal buffers are separated into separate polygons, leaving the land-based portions of jurisdictions and coastal buffers in adjacent polygons. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

    1. Cities: Only the city boundaries and attributes, without any unincorporated areas
    2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
    3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
    4. City and County Abbreviations
    5. Unincorporated Areas (Coming Soon)
    6. Census Designated Places
    7. Cartographic Coastline

    Working with Coastal Buffers
    The dataset you are currently viewing excludes the coastal buffers for cities and counties that have them in the source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except OFFSHORE and AREA_SQMI to get a version with the correct identifiers.

    Point of Contact

    California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

    Field and Abbreviation Definitions

    • CDTFA_CITY: CDTFA incorporated city name
    • CDTFA_COUNTY: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • CDTFA_COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system. The boundary data originate with CDTFA's teams managing tax rate information, so this field is preserved and flows into this dataset.
    • CENSUS_GEOID: numeric geographic identifiers from the US Census Bureau
    • CENSUS_PLACE_TYPE: City, County, or Town, stripped off the census name for identification purpose.
    • GNIS_PLACE_NAME: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • CDT_CITY_ABBR: Abbreviations of incorporated area names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 4 characters. Not present in the county-specific layers.
    • CDT_COUNTY_ABBR: Abbreviations of county names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 3 characters.
    • CDT_NAME_SHORT: The name of the jurisdiction (city or county) with the word "City" or "County" stripped off the end. Some changes may come to how we process this value to make it more consistent.
    • AREA_SQMI: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • OFFSHORE: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • PRIMARY_DOMAIN: Currently empty/null for all records. Placeholder field for official URL of the city or county
    • CENSUS_POPULATION: Currently null for all records. In the future, it will include the most recent US Census population estimate for the jurisdiction.
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to

  2. California County Boundaries and Identifiers with Coastal Buffers

    • data.ca.gov
    • gis.data.ca.gov
    Updated Mar 4, 2025
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    California Department of Technology (2025). California County Boundaries and Identifiers with Coastal Buffers [Dataset]. https://data.ca.gov/dataset/california-county-boundaries-and-identifiers-with-coastal-buffers
    Explore at:
    zip, gpkg, gdb, txt, html, geojson, xlsx, csv, kml, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of March 2025. The schema changed in February 2025 - please see below. We will post a roadmap of upcoming changes, but service URLs and schema are now stable. For deployment status of new services in February 2025, see https://gis.data.ca.gov/pages/city-and-county-boundary-data-status. Additional roadmap and status links at the bottom of this metadata.

    This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose

    County boundaries along with third party identifiers used to join in external data. Boundaries are from the California Department of Tax and Fee Administration (CDTFA). These boundaries are the best available statewide data source in that CDTFA receives changes in incorporation and boundary lines from the Board of Equalization, who receives them from local jurisdictions for tax purposes. Boundary accuracy is not guaranteed, and though CDTFA works to align boundaries based on historical records and local changes, errors will exist. If you require a legal assessment of boundary location, contact a licensed surveyor.

    This dataset joins in multiple attributes and identifiers from the US Census Bureau and Board on Geographic Names to facilitate adding additional third party data sources. In addition, we attach attributes of our own to ease and reduce common processing needs and questions. Finally, coastal buffers are separated into separate polygons, leaving the land-based portions of jurisdictions and coastal buffers in adjacent polygons. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

    1. Cities: Only the city boundaries and attributes, without any unincorporated areas
    2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
    3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
    4. City and County Abbreviations
    5. Unincorporated Areas (Coming Soon)
    6. Census Designated Places
    7. Cartographic Coastline

    Working with Coastal Buffers
    The dataset you are currently viewing includes the coastal buffers for cities and counties that have them in the source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except OFFSHORE and AREA_SQMI to get a version with the correct identifiers.

    Point of Contact

    California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

    Field and Abbreviation Definitions

    • CDTFA_COUNTY: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • CDTFA_COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system. The boundary data originate with CDTFA's teams managing tax rate information, so this field is preserved and flows into this dataset.
    • CENSUS_GEOID: numeric geographic identifiers from the US Census Bureau
    • CENSUS_PLACE_TYPE: City, County, or Town, stripped off the census name for identification purpose.
    • GNIS_PLACE_NAME: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • CDT_COUNTY_ABBR: Abbreviations of county names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 3 characters.
    • CDT_NAME_SHORT: The name of the jurisdiction (city or county) with the word "City" or "County" stripped off the end. Some changes may come to how we process this value to make it more consistent.
    • AREA_SQMI: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • OFFSHORE: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • PRIMARY_DOMAIN: Currently empty/null for all records. Placeholder field for official URL of the city or county
    • CENSUS_POPULATION: Currently null for all records. In the future, it will include the most recent US Census population estimate for the jurisdiction.
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

    Boundary Accuracy
    County boundaries were originally derived

  3. R

    Crop Boundaries Dataset

    • universe.roboflow.com
    zip
    Updated Jan 20, 2024
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    jonsworkspace (2024). Crop Boundaries Dataset [Dataset]. https://universe.roboflow.com/jonsworkspace/crop-boundaries/model/2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 20, 2024
    Dataset authored and provided by
    jonsworkspace
    License

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

    Variables measured
    Crop Boundaries Polygons
    Description

    Crop Boundaries

    ## Overview
    
    Crop Boundaries is a dataset for instance segmentation tasks - it contains Crop Boundaries annotations for 606 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  4. a

    California Overlapping Cities and Counties and Identifiers with Coastal...

    • hub.arcgis.com
    • data.ca.gov
    • +1more
    Updated Oct 25, 2024
    + more versions
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    California Department of Technology (2024). California Overlapping Cities and Counties and Identifiers with Coastal Buffers [Dataset]. https://hub.arcgis.com/maps/California::california-overlapping-cities-and-counties-and-identifiers-with-coastal-buffers
    Explore at:
    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    California Department of Technology
    License

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

    Area covered
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of 2024. Expected changes:Metadata is missing or incomplete for some layers at this time and will be continuously improved.We expect to update this layer roughly in line with CDTFA at some point, but will increase the update cadence over time as we are able to automate the final pieces of the process.This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.PurposeCounty and incorporated place (city) boundaries along with third party identifiers used to join in external data. Boundaries are from the authoritative source the California Department of Tax and Fee Administration (CDTFA), altered to show the counties as one polygon. This layer displays the city polygons on top of the County polygons so the area isn"t interrupted. The GEOID attribute information is added from the US Census. GEOID is based on merged State and County FIPS codes for the Counties. Abbreviations for Counties and Cities were added from Caltrans Division of Local Assistance (DLA) data. Place Type was populated with information extracted from the Census. Names and IDs from the US Board on Geographic Names (BGN), the authoritative source of place names as published in the Geographic Name Information System (GNIS), are attached as well. Finally, the coastline is used to separate coastal buffers from the land-based portions of jurisdictions. This feature layer is for public use.Related LayersThis dataset is part of a grouping of many datasets:Cities: Only the city boundaries and attributes, without any unincorporated areasWith Coastal BuffersWithout Coastal BuffersCounties: Full county boundaries and attributes, including all cities within as a single polygonWith Coastal BuffersWithout Coastal BuffersCities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.With Coastal Buffers (this dataset)Without Coastal BuffersPlace AbbreviationsUnincorporated Areas (Coming Soon)Census Designated Places (Coming Soon)Cartographic CoastlinePolygonLine source (Coming Soon)Working with Coastal BuffersThe dataset you are currently viewing includes the coastal buffers for cities and counties that have them in the authoritative source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except COASTAL, Area_SqMi, Shape_Area, and Shape_Length to get a version with the correct identifiers.Point of ContactCalifornia Department of Technology, Office of Digital Services, odsdataservices@state.ca.govField and Abbreviation DefinitionsCOPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering systemPlace Name: CDTFA incorporated (city) or county nameCounty: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.Legal Place Name: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information SystemGNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.GEOID: numeric geographic identifiers from the US Census Bureau Place Type: Board on Geographic Names authorized nomenclature for boundary type published in the Geographic Name Information SystemPlace Abbr: CalTrans Division of Local Assistance abbreviations of incorporated area namesCNTY Abbr: CalTrans Division of Local Assistance abbreviations of county namesArea_SqMi: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.COASTAL: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.AccuracyCDTFA"s source data notes the following about accuracy:City boundary changes and county boundary line adjustments filed with the Board of Equalization per Government Code 54900. This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was created in March of 2015 and was based on the State Board of Equalization tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax rates. The boundaries are continuously being revised to align with aerial imagery when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax rates and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the California State Board of Equalization"s 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned 000 to indicate that the area is not within a city).Boundary ProcessingThese data make a structural change from the source data. While the full boundaries provided by CDTFA include coastal buffers of varying sizes, many users need boundaries to end at the shoreline of the ocean or a bay. As a result, after examining existing city and county boundary layers, these datasets provide a coastline cut generally along the ocean facing coastline. For county boundaries in northern California, the cut runs near the Golden Gate Bridge, while for cities, we cut along the bay shoreline and into the edge of the Delta at the boundaries of Solano, Contra Costa, and Sacramento counties.In the services linked above, the versions that include the coastal buffers contain them as a second (or third) polygon for the city or county, with the value in the COASTAL field set to whether it"s a bay or ocean polygon. These can be processed back into a single polygon by dissolving on all the fields you wish to keep, since the attributes, other than the COASTAL field and geometry attributes (like areas) remain the same between the polygons for this purpose.SliversIn cases where a city or county"s boundary ends near a coastline, our coastline data may cross back and forth many times while roughly paralleling the jurisdiction"s boundary, resulting in many polygon slivers. We post-process the data to remove these slivers using a city/county boundary priority algorithm. That is, when the data run parallel to each other, we discard the coastline cut and keep the CDTFA-provided boundary, even if it extends into the ocean a small amount. This processing supports consistent boundaries for Fort Bragg, Point Arena, San Francisco, Pacifica, Half Moon Bay, and Capitola, in addition to others. More information on this algorithm will be provided soon.Coastline CaveatsSome cities have buffers extending into water bodies that we do not cut at the shoreline. These include South Lake Tahoe and Folsom, which extend into neighboring lakes, and San Diego and surrounding cities that extend into San Diego Bay, which our shoreline encloses. If you have feedback on the exclusion of these items, or others, from the shoreline cuts, please reach out using the contact information above.Offline UseThis service is fully enabled for sync and export using Esri Field Maps or other similar tools. Importantly, the GlobalID field exists only to support that use case and should not be used for any other purpose (see note in field descriptions).Updates and Date of ProcessingConcurrent with CDTFA updates, approximately every two weeks, Last Processed: 12/17/2024 by Nick Santos using code path at https://github.com/CDT-ODS-DevSecOps/cdt-ods-gis-city-county/ at commit 0bf269d24464c14c9cf4f7dea876aa562984db63. It incorporates updates from CDTFA as of 12/12/2024. Future updates will include improvements to metadata and update frequency.

  5. R

    Boundaries Dataset

    • universe.roboflow.com
    zip
    Updated Nov 4, 2024
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    expression (2024). Boundaries Dataset [Dataset]. https://universe.roboflow.com/expression-ouygu/boundaries-tlgtv/model/7
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 4, 2024
    Dataset authored and provided by
    expression
    License

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

    Variables measured
    Signboard Bounding Boxes
    Description

    Boundaries

    ## Overview
    
    Boundaries is a dataset for object detection tasks - it contains Signboard annotations for 504 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  6. California County Boundaries and Identifiers

    • data.ca.gov
    • gis.data.ca.gov
    Updated Mar 4, 2025
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    California Department of Technology (2025). California County Boundaries and Identifiers [Dataset]. https://data.ca.gov/dataset/california-county-boundaries-and-identifiers
    Explore at:
    geojson, kml, gdb, html, txt, gpkg, zip, xlsx, arcgis geoservices rest api, csvAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of March 2025. The schema changed in February 2025 - please see below. We will post a roadmap of upcoming changes, but service URLs and schema are now stable. For deployment status of new services in February 2025, see https://gis.data.ca.gov/pages/city-and-county-boundary-data-status. Additional roadmap and status links at the bottom of this metadata.

    This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose

    County boundaries along with third party identifiers used to join in external data. Boundaries are from the California Department of Tax and Fee Administration (CDTFA). These boundaries are the best available statewide data source in that CDTFA receives changes in incorporation and boundary lines from the Board of Equalization, who receives them from local jurisdictions for tax purposes. Boundary accuracy is not guaranteed, and though CDTFA works to align boundaries based on historical records and local changes, errors will exist. If you require a legal assessment of boundary location, contact a licensed surveyor.

    This dataset joins in multiple attributes and identifiers from the US Census Bureau and Board on Geographic Names to facilitate adding additional third party data sources. In addition, we attach attributes of our own to ease and reduce common processing needs and questions. Finally, coastal buffers are separated into separate polygons, leaving the land-based portions of jurisdictions and coastal buffers in adjacent polygons. This layer removes the coastal buffer polygons. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

    1. Cities: Only the city boundaries and attributes, without any unincorporated areas
    2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
    3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
    4. City and County Abbreviations
    5. Unincorporated Areas (Coming Soon)
    6. Census Designated Places
    7. Cartographic Coastline
    Working with Coastal Buffers
    The dataset you are currently viewing excludes the coastal buffers for cities and counties that have them in the source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except OFFSHORE and AREA_SQMI to get a version with the correct identifiers.

    Point of Contact

    California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

    Field and Abbreviation Definitions

    • CDTFA_COUNTY: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • CDTFA_COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system. The boundary data originate with CDTFA's teams managing tax rate information, so this field is preserved and flows into this dataset.
    • CENSUS_GEOID: numeric geographic identifiers from the US Census Bureau
    • CENSUS_PLACE_TYPE: City, County, or Town, stripped off the census name for identification purpose.
    • GNIS_PLACE_NAME: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • CDT_COUNTY_ABBR: Abbreviations of county names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 3 characters.
    • CDT_NAME_SHORT: The name of the jurisdiction (city or county) with the word "City" or "County" stripped off the end. Some changes may come to how we process this value to make it more consistent.
    • AREA_SQMI: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • OFFSHORE: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • PRIMARY_DOMAIN: Currently empty/null for all records. Placeholder field for official URL of the city or county
    • CENSUS_POPULATION: Currently null for all records. In the future, it will include the most recent US Census population estimate for the jurisdiction.
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

    Boundary Accuracy
    County boundaries were originally derived from a

  7. WA Parcel and Legal Boundaries

    • geo.wa.gov
    • data-wadnr.opendata.arcgis.com
    • +1more
    Updated Mar 14, 2017
    + more versions
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    Washington State Department of Natural Resources (2017). WA Parcel and Legal Boundaries [Dataset]. https://geo.wa.gov/datasets/1400dcfcc52a4c56ab1301e3c98d426c
    Explore at:
    Dataset updated
    Mar 14, 2017
    Dataset authored and provided by
    Washington State Department of Natural Resourceshttp://www.dnr.wa.gov/
    Area covered
    Description

    For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.The Boundary layer consists of lines representing the boundaries of Parcels and Legal Descriptions. (See the metadata for those two layers.) Boundary lines are the places that are surveyed in order to delimit the extent of Parcels and Legal Descriptions. The character and accuracy of Boundary locations is held in the attributes of the Points that are at the ends of Boundary lines. All the boundaries of Parcels and Legal Descriptions are covered by a Boundary line. Currently the Boundary layer has little functionality. The only distinction it makes is between upland boundaries and shorelines. In the future Boundary lines will have a richer set of attributes in order to accommodate cartographic needs to distinguish between types of boundaries.WA Boundaries Metadata

  8. C

    Speed​​map

    • ckan.mobidatalab.eu
    Updated Oct 24, 2023
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    NDW en Rijkswaterstaat (2023). Speed​​map [Dataset]. https://ckan.mobidatalab.eu/dataset/speedmap
    Explore at:
    https://www.iana.org/assignments/media-types/application/gpx+xml, https://www.iana.org/assignments/media-types/application/octet-stream, https://www.iana.org/assignments/media-types/application/vnd.google-earth.kml+xml, https://www.iana.org/assignments/media-types/application/rdf+xml, https://www.iana.org/assignments/media-types/text/plain, https://www.iana.org/assignments/media-types/text/turtle, https://www.iana.org/assignments/media-types/application/xls, https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/application/ld+json, https://www.iana.org/assignments/media-types/text/n3, https://www.iana.org/assignments/media-types/application/zip, https://www.iana.org/assignments/media-types/text/csvAvailable download formats
    Dataset updated
    Oct 24, 2023
    Dataset provided by
    NDW en Rijkswaterstaat
    License

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

    Description

    This map contains speed limits for all roads in the National Road Database (NWB).


    Description from Rijkswaterstaat: "Since 2022, the features are Trees, Entrances, Bowl Boundaries, Parking Points , Parking spaces, Traffic center, Traffic types, Road width, Road categorization and Road narrowings added as a csv file to the database."

    "The possible speeds that can be entered are 5, 15, 20, 30 40, 50, 60, 70, 80, 90, 100, 120, 130 km per hour, N/A and unknown. The speeds only apply to roads that are open to car traffic. On cycle paths , footpaths and other roads that are not open to car traffic, the speed is unknown. This also applies to the ferry connections. The file provides variable maximum speeds with a start time and an end time. These mainly apply to motorways. Outside this period with the indicated start time and end time, an alternative speed applies. So, for example, between 6:00 AM and 7:00 PM the speed limit is 100 km per hour and outside of that the maximum speed is 120 km per hour."

    Traffic decisions, via the Knowledge and Operation Center for Official Government Publications (KOOP), are used to detect and process changes in speed limits.


    Disclaimer:

    A number of roads are currently still listed as "unknown" while the speed limit does not actually apply here (pedestrian paths and cycle paths, for example).

    < p>The map may contain inaccuracies. You can report errors via data@eindhoven.nl.


    Source:

    We keep track of speeds within a tool from the National Road Traffic Data Portal (NDW). You can view the map that the NDW offers via: https:// weghouden.ndw.nu/weghouden/wegvakken/323165013/bedrijven/maximumspeed. You can also download the data in shapefile format via https://opendata.ndw.nu/ .

    To unlock the speeds within our Eindhoven Open Data portal we use a service from Rijkswaterstaat: https:// geo.rijkswaterstaat.nl/arcgis/rest/services/GDR/maximum_speeds_roads/FeatureServer/0

    You can obtain more information and different publication formats from the Rijkswaterstaat data source via: https://maps.rijkswaterstaat.nl/dataregister-publicatie/srv/eng/catalog.search#/metadata/ d7df2888-0c0d-40f1-9b35-3c1a01234d01

  9. R

    Boundary Box Making Dataset

    • universe.roboflow.com
    zip
    Updated May 23, 2024
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    Text Detection Dataset (2024). Boundary Box Making Dataset [Dataset]. https://universe.roboflow.com/text-detection-dataset/boundary-box-making
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Text Detection Dataset
    License

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

    Variables measured
    Words Bounding Boxes
    Description

    Boundary Box Making

    ## Overview
    
    Boundary Box Making is a dataset for object detection tasks - it contains Words annotations for 3,181 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  10. a

    City of Rochester City Council Districts (Beginning 2024)

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.cityofrochester.gov
    • +1more
    Updated Dec 13, 2022
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    Open_Data_Admin (2022). City of Rochester City Council Districts (Beginning 2024) [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/RochesterNY::city-of-rochester-city-council-districts-beginning-2024/explore
    Explore at:
    Dataset updated
    Dec 13, 2022
    Dataset authored and provided by
    Open_Data_Admin
    Area covered
    Description

    Dataset SummaryAbout this data:This is a Feature Layer of the NEW City of Rochester City Council Districts (Beginning 2024). If you are interested in viewing and downloading a PDF version of the Map, please click HERE. East Council DistrictThe East District shall include all the area described within the boundaries as follows;Beginning on the centerline of the Genesee River and its intersection with East Main Street; Thence easterly along the centerline of East Main Street to its intersection with the centerline of North Goodman Street; Thence northerly along the centerline of North Goodman Street to its intersection with the centerline of Clifford Avenue; Thence easterly along the centerline of Clifford Avenue to the easterly boundary of the City; Thence southerly along the easterly line of the City including the area known as Tryon Park to the southerly boundary of the City; Thence westerly along the southerly boundary of the City to it’s intersection with the centerline of Elmwood Avenue; Thence westerly along the centerline of Elmwood Avenue to its intersection with the centerline of South Avenue; Thence northerly along the centerline of South Avenue to its intersection with the centerline of Linden Street; Thence easterly along the centerline of Linden Street to its intersection with the centerline of Mount Vernon Avenue; Thence northerly along the centerline of Mount Vernon Avenue to its intersection with the centerline of Caroline Street; Thence easterly along the centerline of Caroline Street to its intersection with the centerline of Meigs Street; Thence northerly along the centerline of Meigs Street to its intersection with the centerline of Interstate 490; Thence generally northwest along the centerline of Interstate 490 and the Inner Loop to the centerline of the Genesee River; Thence northerly along the centerline of the Genesee River to its intersection with the centerline of the East Main Street and to the place of beginning.Northeast Council DistrictThe Northeast District shall include all the area described within the boundaries as follows:Beginning at the intersection of the centerline of the Genesee River and Marina Drive; Thence southerly along the centerline of the Genesee River to its intersection with the centerline of the East Main Street; Thence easterly along the centerline of East Main Street to its intersection with the centerline of North Goodman Street; Thence northerly along the centerline of North Goodman Street to its intersection with the centerline of Clifford Avenue; Thence easterly along the centerline of Clifford Avenue to the easterly boundary of the City; Thence northerly along the easterly boundary of the City to the northerly boundary of the City; Thence westerly along the northerly boundary of the City to a point 33 feet easterly from the centerline of Culver Road; Thence northerly 33 feet easterly from and parallel to the centerline of Culver Road to a point 33 feet northerly from the centerline of Hoffman Road produced easterly; Thence northwesterly 33 feet northerly from and parallel to the centerline of Hoffman Road to a point 33 feet easterly from the centerline of Wisner Road; Thence northerly 33 feet easterly from and parallel to the centerline of Wisner Road to the southerly boundary of Durand Eastman Park; Thence easterly along the southerly line of Durand Eastman Park to the easterly line of Durand Eastman Park; Thence generally northerly along the easterly boundary of Durand Eastman Park to the shore of Lake Ontario; Thence westerly along the shore of Lake Ontario to the westerly line of Durand Eastman Park; Thence generally southerly along the westerly line of Durand Eastman Park to the southerly line of Durand Eastman Park; Thence generally easterly along the southerly line of Durand Eastman Park to a point 33 feet westerly from the centerline of Wisner Road; Thence southerly 33 feet westerly from and parallel to the centerline of Wisner Road to a point 33 feet south of the centerline of Hoffman Road produced westerly; Thence southeasterly 33 feet southerly from and parallel to the centerline of Hoffman Road to a point 33 feet westerly from the centerline of Culver Road; Thence southerly 33 feet westerly from and parallel to the centerline of Culver Road to the northerly boundary line of the City; Thence westerly along the northerly line of the City to the easterly line of the City; Thence generally northerly along the said easterly City line to the centerline of Marina Drive; Thence westerly along the centerline of Marina drive to the center of the Genesee River and to the point of beginning.Northwest Council DistrictThe Northwest District shall include all the area described within the boundaries as follows:Beginning at the intersection of the centerline of the Genesee River with the centerline of Marina Drive; Thence southerly along the centerline of the Genesee River to its intersection with the centerline of the Inner Loop; Thence southwesterly along the centerline of the Inner Loop to its intersection with the centerline of Interstate 490; Thence northwesterly along the centerline of Interstate 490 to its intersection with the centerline of Brown Street; Thence southwesterly along the centerline of Brown Street to its intersection with the centerline of the CSX Rochester Sub Line Railroad; Thence southwesterly along the centerline of the CSX Rochester Sub Line Railroad to its intersection with the westerly boundary of the City; Thence northerly following the westerly boundary of the City to its intersection with the shore of Lake Ontario; Thence easterly along the shore of Lake Ontario to the easterly boundary of the City; Thence southerly along the easterly boundary of the City to the centerline of Marina Drive; Thence westerly along the centerline of Marina drive to the center of the Genesee River and to the point of beginning.South Council DistrictThe South District shall include all the area described within the boundaries as follows:Beginning at the intersection of the westerly boundary of the City with centerline of the CSX Rochester Sub Line Railroad; Thence easterly along the centerline of the CSX Rochester Sub Line Railroad to its intersection with the centerline of Brown Street; Thence northeasterly along the centerline of Brown Street to its intersection with the centerline of Interstate 490; Thence easterly along the centerline of Interstate 490 to its intersection with the centerline of the Inner Loop; Thence northeasterly along the centerline of the Inner Loop to its intersection with the centerline of the Genesee River; Thence southerly along the centerline of the Genesee River to its intersection with the centerline of Interstate 490; Thence southeasterly along the centerline of Interstate 490 to its intersection with the centerline of Meigs Street; Thence southerly along the centerline of Meigs Street to its intersection with the centerline of Caroline Street; Thence westerly along the centerline of Caroline Street to its intersection with the centerline of Mount Vernon Avenue; Thence southerly along the centerline of Mount Vernon Avenue to its intersection with the centerline of Linden Street; Thence westerly along the centerline of Linden Street to its intersection with the centerline of South Avenue; Thence southerly along the centerline of South Avenue to its intersection with the centerline of Elmwood Avenue; Thence easterly along the centerline of Elmwood Avenue to its intersection with the easterly boundary of the City; Thence generally southerly along the easterly boundary of the City to the southerly boundary of the City; Thence generally westerly along the southerly boundary of the City, including Genesee Valley Park, to the westerly boundary of the City; Thence generally along the westerly boundary of the City, including the Rochester‑Monroe County International Airport, to its intersection with the centerline of CSX Rochester Sub Line Railroad and to the point of beginning.Data Dictionary:District: Quadrant of the City of Rochester where the Neighborhood Service Center (NSC) is located (S, NE, NW, E).Source:This data is maintained by the City of Rochester.

  11. t

    TomTom Map API - Dataset - Trafficdata.se

    • trafficdata.se
    Updated Oct 31, 2024
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    (2024). TomTom Map API - Dataset - Trafficdata.se [Dataset]. https://trafficdata.se/dataset/tomtom-map-api
    Explore at:
    Dataset updated
    Oct 31, 2024
    Description

    When you build with TomTom Maps APIs and map data sets, you build with a partner that combines three decades of mapping experience with the speed and soul of a start-up. We’re proud of our roots, and we never stop looking ahead – working together with you to bring the best, freshest map data and tech to people all over the world. When change happens in the real world, our transactional mapmaking ecosystem allows us to detect, verify and deliver it to the map fast – ensuring your customers, drivers and users always enjoy the most up-to-date map data. That same speed and flexibility extends to how we help you build your mapping app: You’re in control of your map data, choosing what you want to include in your final product.

  12. D

    Department of Public Works Active Parcel History

    • data.sfgov.org
    • s.cnmilf.com
    • +1more
    application/rdfxml +5
    Updated Jul 11, 2025
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    (2025). Department of Public Works Active Parcel History [Dataset]. https://data.sfgov.org/Geographic-Locations-and-Boundaries/Department-of-Public-Works-Active-Parcel-History/6df5-4k8u
    Explore at:
    application/rdfxml, tsv, xml, application/rssxml, json, csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Note: These are the Department of Public Works Basemap Parcels, not the Assessor-Recorder's Taxable Parcels. See "How to use this dataset" for more information.

    A. SUMMARY Parcels are defined areas of land, demarcated by boundaries to visualize distinct and legal parcels of real property. Occasionally, parcels are divided or combined, and a new parcel can be created. This dataset connects current parcels in San Francisco to historical parcels that are associated with it.

    B. HOW THE DATASET IS CREATED This dataset utilizes the parcel change log to find associated parcels through an iterative process.

    C. UPDATE PROCESS This dataset will be refreshed daily, though the data may not change every day.

    D. HOW TO USE THIS DATASET The City and County of San Francisco has two related but distinct parcel databases. The first is managed by the Department of Public Works, is created by surveyors, and is used in the Department of Public Works basemap. Public Works parcels are used to identify very precisely where private properties end and where public City property begins (e.g. sidewalks, roads, rights of way, etc.). The second is managed by the Assessor-Recorder's Office. Assessor parcels are defined by Revenue and Taxation code and Property Tax law. The Assessor-Recorder uses official maps defined under Revenue and Taxation code section 325 in the creation of assessor parcels and are used to identify taxable property. Each of the Assessor's parcels have an Assessor's Parcel Number (APN) which is used by other departments including but not limited to Tax Collector for tax collection, DBI for permitting, and other use cases.

    Though most parcels are the same between Public Works and the Assessor’s Office, they are not a perfect match. APN's are retired and activated within the timeline parameters of tax years (July – June) based on tax roll state requirements, which means there can be a lag between the Public Works parcel changing and the associated APN being updated. Public Works’ City Basemap identifies legal parcels defined by California Code Subdivision Map Act and Assessor-Recorder’s parcels identify taxable parcel boundaries defined by Revenue and Taxation Code.

    Use this dataset to identify historical parcels from the Public Works Basemap that are associated with an active Public Works basemap parcel. This dataset is not a history of the Assessor-Recorder's Parcels.

    E. RELATED DATASETS

  13. Parcel Change Log
  14. Parcels - Active and Retired
  • d

    Square Boundaries

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated May 21, 2025
    + more versions
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    Department of Buildings (2025). Square Boundaries [Dataset]. https://catalog.data.gov/dataset/square-boundaries
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset provided by
    Department of Buildings
    Description

    Squares are calculated by the outer extents of the record or tax lots within a defined area (typically a city block). There are roughly 4896 active squares. A Square is similar to a city block. Squares were numbered starting at 1 and are currently in the 6000 series. Not all squares are active. A common cause of squares becoming inactive has been through street closing and combining squares. When the squares are combined usually the lower square number is killed and the higher square number is used for the combined square. For example if squares 1 and 2 are combined, square 1 is killed and the combination becomes square 2.Spatial locations:Each Square is an Island, alone unto itself. There is not now, and has never been, any citywide Survey Coordinate System in D.C. Most squares are unrelated to other Squares by “Measured.” They are related by Record. Street width is approximate. You cannot rely on the published official street widths to set up property lines or determine right-of-way. There is digital scan information available from DDOT regarding Right-of-Way. Some Squares are divided by streets. That is, the same Square continues on the other side of the street. Since there is no citywide Survey Coordinate System, squares were placed in their approximate location. This process is known as “best fit”.

  • a

    1951 Navajo Project Aerial Photos

    • geodata-asu.hub.arcgis.com
    Updated Jun 13, 2020
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    Arizona State University (2020). 1951 Navajo Project Aerial Photos [Dataset]. https://geodata-asu.hub.arcgis.com/datasets/1951-navajo-project-aerial-photos
    Explore at:
    Dataset updated
    Jun 13, 2020
    Dataset authored and provided by
    Arizona State University
    Description

    Navajo Project aerial photographs of northeastern Arizona:Geographic Coverage: northeastern Arizona.Time Range: 1951-52Cartographic Scale: approximately 1:30,000Physical Availability: in-house use onlyDigital Availability: not yet scannedThe index layer included in this web map: Navajo Project Flight Coverage. Other layers (States, Counties, Urbanized Areas, and Native American Land) of Arizona, Colorado, New Mexico, and Utah are included as an additional geographic reference aid. Index CreationThe geometry for this index layer was initially digitized using Google Earth through visual interpretation techniques. The boundaries of each polygon feature were manually created by students who visually matched geographic features depicted in each flight sequence, defined by flight number and/or flight orientation (north-to-south / south-to-north / east-to-west / west-to-east). In 2019, years after the original creation of the index layer, staff at the Map and Geospatial Hub worked to simplify the index geometry by merging multiple polygons pertaining to the same flight, thereby reducing the total number of features. Geometry and attribute editing were done in ArcGIS Pro. The ASU Library Map and Geospatial Hub makes no guarantee is made on the accuracy of the index in relation to the spatial coverage of the photography. Requesting PhotosIf you are interested in taking a look at some of these aerial photographs for a certain section, please use the Navajo Project Aerial Photography Index (1951) Web Map to select the section you’re interested in. Once you have identified the area, please submit a Service Request indicating the flight and image start and end numbers, and Map and Geospatial Hub staff will prepare the requested image(s) for viewing.

  • R

    Shadow Boundary Dataset

    • universe.roboflow.com
    zip
    Updated Aug 4, 2023
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    Dallin Smith (2023). Shadow Boundary Dataset [Dataset]. https://universe.roboflow.com/dallin-smith-lr8rz/shadow-boundary/model/4
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 4, 2023
    Dataset authored and provided by
    Dallin Smith
    License

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

    Variables measured
    Shadow Bounding Boxes
    Description

    Shadow Boundary

    ## Overview
    
    Shadow Boundary is a dataset for object detection tasks - it contains Shadow annotations for 272 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  • d

    3D Maps

    • dataone.org
    Updated Aug 9, 2016
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    Campbell, Karen (https://www.linkedin.com/in/karen-campbell-1336965); Morin, Paul (2016). 3D Maps [Dataset]. https://dataone.org/datasets/seadva-20ef8e4e-12fd-4244-be19-7a79c827e85f
    Explore at:
    Dataset updated
    Aug 9, 2016
    Dataset provided by
    SEAD Virtual Archive
    Authors
    Campbell, Karen (https://www.linkedin.com/in/karen-campbell-1336965); Morin, Paul
    Description

    NCED is currently involved in researching the effectiveness of anaglyph maps in the classroom and are working with educators and scientists to interpret various Earth-surface processes. Based on the findings of the research, various activities and interpretive information will be developed and available for educators to use in their classrooms. Keep checking back with this website because activities and maps are always being updated. We believe that anaglyph maps are an important tool in helping students see the world and are working to further develop materials and activities to support educators in their use of the maps.

    This website has various 3-D maps and supporting materials that are available for download. Maps can be printed, viewed on computer monitors, or projected on to screens for larger audiences. Keep an eye on our website for more maps, activities and new information. Let us know how you use anaglyph maps in your classroom. Email any ideas or activities you have to ncedmaps@umn.edu

    Anaglyph paper maps are a cost effective offshoot of the GeoWall Project. Geowall is a high end visualization tool developed for use in the University of Minnesota's Geology and Geophysics Department. Because of its effectiveness it has been expanded to 300 institutions across the United States. GeoWall projects 3-D images and allows students to see 3-D representations but is limited because of the technology. Paper maps are a cost effective solution that allows anaglyph technology to be used in classroom and field-based applications.

    Maps are best when viewed with RED/CYAN anaglyph glasses!

    A note on downloading: "viewable" maps are .jpg files; "high-quality downloads" are .tif files. While it is possible to view the latter in a web-browser in most cases, the download may be slow. As an alternative, try right-clicking on the link to the high-quality download and choosing "save" from the pop-up menu that results. Save the file to your own machine, then try opening the saved copy. This may be faster than clicking directly on the link to open it in the browser.

    World Map: 3-D map that highlights oceanic bathymetry and plate boundaries.

    Continental United States: 3-D grayscale map of the Lower 48.

    Western United States: 3-D grayscale map of the Western United States with state boundaries.

    Regional Map: 3-D greyscale map stretching from Hudson Bay to the Central Great Plains. This map includes the Western Great Lakes and the Canadian Shield.

    Minnesota Map: 3-D greyscale map of Minnesota with county and state boundaries.

    Twin Cities: 3-D map extending beyond Minneapolis and St. Paul.

    Twin Cities Confluence Map: 3-D map highlighting the confluence of the Mississippi and Minnesota Rivers. This map includes most of Minneapolis and St. Paul.

    Minneapolis, MN: 3-D topographical map of South Minneapolis.

    Bassets Creek, Minneapolis: 3-D topographical map of the Bassets Creek watershed.

    North Minneapolis: 3-D topographical map highlighting North Minneapolis and the Mississippi River.

    St. Paul, MN: 3-D topographical map of St. Paul.

    Western Suburbs, Twin Cities: 3-D topographical map of St. Louis Park, Hopkins and Minnetonka area.

    Minnesota River Valley Suburbs, Twin Cities: 3-D topographical map of Bloomington, Eden Prairie and Edina area.

    Southern Suburbs, Twin Cities: 3-D topographical map of Burnsville, Lakeville and Prior Lake area.

    Southeast Suburbs, Twin Cities: 3-D topographical map of South St. Paul, Mendota Heights, Apple Valley and Eagan area.

    Northeast Suburbs, Twin Cities: 3-D topographical map of White Bear Lake, Maplewood and Roseville area.

    Northwest Suburbs, Mississippi River, Twin Cities: 3-D topographical map of North Minneapolis, Brooklyn Center and Maple Grove area.

    Blaine, MN: 3-D map of Blaine and the Mississippi River.

    White Bear Lake, MN: 3-D topographical map of White Bear Lake and the surrounding area.

    Maple Grove, MN: 3-D topographical mmap of the NW suburbs of the Twin Cities.

  • w

    Current Year (2017): Grand thefts from locked auto (heat map)

    • data.wu.ac.at
    Updated May 24, 2017
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    Joy Bonaguro (2017). Current Year (2017): Grand thefts from locked auto (heat map) [Dataset]. https://data.wu.ac.at/schema/data_sfgov_org/OXVteC0zZ3Nk
    Explore at:
    Dataset updated
    May 24, 2017
    Dataset provided by
    Joy Bonaguro
    Description

    As of July 19, 2015, the PD District boundaries have been updated through a redistricting process. These new boundaries are not reflected in the dataset yet so you cannot compare data from July 19, 2015 onward to official reports from PD with the Police District column. We are working on an update to the dataset to reflect the updated boundaries starting with data entered July 19 onward.

    Incidents derived from SFPD Crime Incident Reporting system Updated daily, showing data from 1/1/2003 up until two weeks ago from current date. Please note: San Francisco police have implemented a new system for tracking crime. The dataset included here is still coming from the old system, which is in the process of being retired (a multi-year process). Data included here is no longer the official SFPD data. We will migrate to the new system for DataSF in the upcoming months.

  • R

    Boundary Line Detection Dataset

    • universe.roboflow.com
    zip
    Updated May 13, 2025
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    PICT ROBOTICS (2025). Boundary Line Detection Dataset [Dataset]. https://universe.roboflow.com/pict-robotics/boundary-line-detection/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    PICT ROBOTICS
    License

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

    Variables measured
    Boundary_line Bounding Boxes
    Description

    Boundary Line Detection

    ## Overview
    
    Boundary Line Detection is a dataset for object detection tasks - it contains Boundary_line annotations for 793 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  • City and County Boundary Line Changes

    • gis.data.ca.gov
    • gis-california.opendata.arcgis.com
    • +1more
    Updated Mar 6, 2015
    + more versions
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    California Department of Tax and Fee Administration (2015). City and County Boundary Line Changes [Dataset]. https://gis.data.ca.gov/maps/93f73ae0070240fca9a4d3826ddb83cd
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    Dataset updated
    Mar 6, 2015
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

    This map includes change areas for city and county boundaries filed in accordance with Government Code 54900. The initial dataset was first published on October 20, 2021, and was based on the State Board of Equalization's tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax jurisdictions. The boundaries are continuously being revised when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions and should not be used to determine precise city or county boundary line locations.The data is updated within 10 business days of the CDTFA receiving a copy of the Board of Equalization's acknowledgement letter.BOE_CityAnx Data Dictionary: COFILE = county number - assessment roll year - file number (see note*); CHANGE = affected city, unincorporated county, or boundary correction; EFFECTIVE = date the change was effective by resolution or ordinance (see note*); RECEIVED = date the change was received at the BOE; ACKNOWLEDGED = date the BOE accepted the filing for inclusion into the tax rate area system; NOTES = additional clarifying information about the action.*Note: A COFILE number ending in "000" is a boundary correction and the effective date used is the date the map was corrected.BOE_CityCounty Data Dictionary: COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the Board of Equalization's 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned 000 to indicate that the area is not within a city).

  • California Overlapping Cities and Counties and Identifiers

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    Updated Feb 20, 2025
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    California Department of Technology (2025). California Overlapping Cities and Counties and Identifiers [Dataset]. https://data.ca.gov/dataset/california-overlapping-cities-and-counties-and-identifiers
    Explore at:
    xlsx, gpkg, gdb, zip, kml, txt, html, geojson, csv, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of 2024. Expected changes:

    • Metadata is missing or incomplete for some layers at this time and will be continuously improved.
    • We expect to update this layer roughly in line with CDTFA at some point, but will increase the update cadence over time as we are able to automate the final pieces of the process.
    This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose

    County and incorporated place (city) boundaries along with third party identifiers used to join in external data. Boundaries are from the authoritative source the California Department of Tax and Fee Administration (CDTFA), altered to show the counties as one polygon. This layer displays the city polygons on top of the County polygons so the area isn"t interrupted. The GEOID attribute information is added from the US Census. GEOID is based on merged State and County FIPS codes for the Counties. Abbreviations for Counties and Cities were added from Caltrans Division of Local Assistance (DLA) data. Place Type was populated with information extracted from the Census. Names and IDs from the US Board on Geographic Names (BGN), the authoritative source of place names as published in the Geographic Name Information System (GNIS), are attached as well. Finally, coastal buffers are removed, leaving the land-based portions of jurisdictions. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

    1. Cities: Only the city boundaries and attributes, without any unincorporated areas
    2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
    3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
    4. Place Abbreviations
    5. Unincorporated Areas (Coming Soon)
    6. Census Designated Places (Coming Soon)
    7. Cartographic Coastline
    Working with Coastal Buffers
    The dataset you are currently viewing includes the coastal buffers for cities and counties that have them in the authoritative source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except COASTAL, Area_SqMi, Shape_Area, and Shape_Length to get a version with the correct identifiers.

    Point of Contact

    California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

    Field and Abbreviation Definitions

    • COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system
    • Place Name: CDTFA incorporated (city) or county name
    • County: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • Legal Place Name: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • GEOID: numeric geographic identifiers from the US Census Bureau Place Type: Board on Geographic Names authorized nomenclature for boundary type published in the Geographic Name Information System
    • Place Abbr: CalTrans Division of Local Assistance abbreviations of incorporated area names
    • CNTY Abbr: CalTrans Division of Local Assistance abbreviations of county names
    • Area_SqMi: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • COASTAL: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

    Accuracy

    CDTFA"s source data notes the following about accuracy:

    City boundary changes and county boundary line adjustments filed with the Board of Equalization per Government Code 54900. This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was created in March of 2015 and was based on the State Board of Equalization tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax rates. The boundaries are continuously being revised to align with aerial imagery when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax rates and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated territory; COPRI =

  • Share
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    Click to copy link
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    Cite
    California Department of Technology (2025). California City Boundaries and Identifiers [Dataset]. https://data.ca.gov/dataset/california-city-boundaries-and-identifiers
    Organization logo

    California City Boundaries and Identifiers

    Explore at:
    zip, kml, csv, gpkg, arcgis geoservices rest api, geojson, html, txt, gdb, xlsxAvailable download formats
    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California City
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of March 2025. The schema changed in February 2025 - please see below. We will post a roadmap of upcoming changes, but service URLs and schema are now stable. For deployment status of new services in February 2025, see https://gis.data.ca.gov/pages/city-and-county-boundary-data-status. Additional roadmap and status links at the bottom of this metadata.

    This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose

    City boundaries along with third party identifiers used to join in external data. Boundaries are from the California Department of Tax and Fee Administration (CDTFA). These boundaries are the best available statewide data source in that CDTFA receives changes in incorporation and boundary lines from the Board of Equalization, who receives them from local jurisdictions for tax purposes. Boundary accuracy is not guaranteed, and though CDTFA works to align boundaries based on historical records and local changes, errors will exist. If you require a legal assessment of boundary location, contact a licensed surveyor.

    This dataset joins in multiple attributes and identifiers from the US Census Bureau and Board on Geographic Names to facilitate adding additional third party data sources. In addition, we attach attributes of our own to ease and reduce common processing needs and questions. Finally, coastal buffers are separated into separate polygons, leaving the land-based portions of jurisdictions and coastal buffers in adjacent polygons. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

    1. Cities: Only the city boundaries and attributes, without any unincorporated areas
    2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
    3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
    4. City and County Abbreviations
    5. Unincorporated Areas (Coming Soon)
    6. Census Designated Places
    7. Cartographic Coastline

    Working with Coastal Buffers
    The dataset you are currently viewing excludes the coastal buffers for cities and counties that have them in the source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except OFFSHORE and AREA_SQMI to get a version with the correct identifiers.

    Point of Contact

    California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

    Field and Abbreviation Definitions

    • CDTFA_CITY: CDTFA incorporated city name
    • CDTFA_COUNTY: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • CDTFA_COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system. The boundary data originate with CDTFA's teams managing tax rate information, so this field is preserved and flows into this dataset.
    • CENSUS_GEOID: numeric geographic identifiers from the US Census Bureau
    • CENSUS_PLACE_TYPE: City, County, or Town, stripped off the census name for identification purpose.
    • GNIS_PLACE_NAME: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • CDT_CITY_ABBR: Abbreviations of incorporated area names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 4 characters. Not present in the county-specific layers.
    • CDT_COUNTY_ABBR: Abbreviations of county names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 3 characters.
    • CDT_NAME_SHORT: The name of the jurisdiction (city or county) with the word "City" or "County" stripped off the end. Some changes may come to how we process this value to make it more consistent.
    • AREA_SQMI: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • OFFSHORE: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • PRIMARY_DOMAIN: Currently empty/null for all records. Placeholder field for official URL of the city or county
    • CENSUS_POPULATION: Currently null for all records. In the future, it will include the most recent US Census population estimate for the jurisdiction.
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to

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