100+ datasets found
  1. Create buffer around features

    • lecture-with-gis-esriukeducation.hub.arcgis.com
    • teachwithgis.co.uk
    Updated Sep 17, 2021
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    Esri UK Education (2021). Create buffer around features [Dataset]. https://lecture-with-gis-esriukeducation.hub.arcgis.com/datasets/create-buffer-around-features
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    Dataset updated
    Sep 17, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    The "Create Buffers" analysis tool in ArcGIS Online can be used to identify areas within a given distance of existing features, be those points, lines or polygons.The distance used for the buffers can either be a fixed distance from all features, or could be taken from a numerical value within each features attributes.

  2. a

    Walking Distance Quarter Mile Buffer from Libraries

    • hub.arcgis.com
    • data.pompanobeachfl.gov
    • +1more
    Updated Apr 16, 2020
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    Broward County GIS (2020). Walking Distance Quarter Mile Buffer from Libraries [Dataset]. https://hub.arcgis.com/datasets/62261a739d8346a4a1378ccce0c97628_0
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    Dataset updated
    Apr 16, 2020
    Dataset authored and provided by
    Broward County GIS
    Area covered
    Description

    The layer was based on the geoprocessing buffer analysis tool. The buffer analysis was applied to libraries in Broward County. The purpose of the data is for 2020 Census planning purposes.

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

    • data.ca.gov
    • gis.data.ca.gov
    • +3more
    Updated Feb 20, 2025
    + more versions
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    California Department of Technology (2025). California Overlapping Cities and Counties and Identifiers with Coastal Buffers [Dataset]. https://data.ca.gov/dataset/california-overlapping-cities-and-counties-and-identifiers-with-coastal-buffers
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    zip, geojson, html, gpkg, csv, txt, arcgis geoservices rest api, kml, xlsx, gdbAvailable 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, the coastline is used to separate coastal buffers from 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

  4. d

    Off Premise Signs Buffers

    • catalog.data.gov
    • opendata-cityofsfgis.hub.arcgis.com
    • +2more
    Updated Jun 7, 2025
    + more versions
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    City of Sioux Falls GIS (2025). Off Premise Signs Buffers [Dataset]. https://catalog.data.gov/dataset/off-premise-signs-buffers
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    Dataset updated
    Jun 7, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Description

    Feature layer containing a 600 foot buffer based on Off Premise Signs in Sioux Falls, South Dakota.

  5. a

    TOD - Transit Buffer Mask

    • hub.arcgis.com
    • transit-oriented-development-hub-countyplanning.hub.arcgis.com
    • +2more
    Updated Aug 12, 2025
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    Cuyahoga County Planning Commission (2025). TOD - Transit Buffer Mask [Dataset]. https://hub.arcgis.com/datasets/CountyPlanning::tod-transit-buffer-mask?layer=1
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    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    Cuyahoga County Planning Commission
    Area covered
    Description

    The Transit Buffer Mask layer represents transit-oriented development (TOD) buffers generated from point-in-time GTFS data extractions of GCTRA data. Using the GTFS model in ArcGIS Pro, "frequent" routes with 30-minute or better peak service are identified. From these routes, 1/2 mile buffers are created. Additionally, 1/4 mile buffers are generated around all rail stops, excluding the waterfront line.Data Sources:GTFS data from GCTRAArcGIS Pro GTFS modelGeographic Coverage: Cuyahoga County, OhioVintage: 2023Update Frequency: StaticLast Update: 2023

  6. c

    California County Boundaries and Identifiers with Coastal Buffers

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Oct 24, 2024
    + more versions
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    California Department of Technology (2024). California County Boundaries and Identifiers with Coastal Buffers [Dataset]. https://gis.data.ca.gov/datasets/California::california-county-boundaries-and-identifiers-with-coastal-buffers
    Explore at:
    Dataset updated
    Oct 24, 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

    Note: 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 beginning 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 regularly 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 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 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 Buffers (this dataset)Without 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 BuffersWithout Coastal BuffersCity and County AbbreviationsUnincorporated Areas (Coming Soon)Census Designated PlacesCartographic CoastlinePolygonLine source (Coming Soon)State BoundaryWith Bay CutsWithout Bay Cuts 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 ContactCalifornia Department of Technology, Office of Digital Services, gis@state.ca.gov Field and Abbreviation DefinitionsCDTFA_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 BureauCENSUS_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 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.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 countyCENSUS_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 AccuracyCounty boundaries were originally derived from a 1:24,000 accuracy dataset, with improvements made in some places to boundary alignments based on research into historical records and boundary changes as CDTFA learns of them. City boundary data are derived from pre-GIS tax maps, digitized at BOE and CDTFA, with adjustments made directly in GIS for new annexations, detachments, and corrections.Boundary accuracy within the dataset varies. While CDTFA strives to correctly include or exclude parcels from jurisdictions for accurate tax assessment, this dataset does not guarantee that a parcel is placed in the correct jurisdiction. When a parcel is in the correct jurisdiction, this dataset cannot guarantee accurate placement of boundary lines within or between parcels or rights of way. This dataset also provides no information on parcel boundaries. For exact jurisdictional or parcel boundary locations, please consult the county assessor's office and a licensed surveyor. CDTFA's data is used as the best available source because BOE and CDTFA receive information about changes in jurisdictions which otherwise need to be collected independently by an agency or company to compile into usable map boundaries. CDTFA maintains the best available statewide boundary information. 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. 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

  7. g

    My Location Buffers

    • growbuckeye.com
    • open-data-nmcog.hub.arcgis.com
    • +6more
    Updated Dec 9, 2020
    + more versions
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    Buckeye, Arizona (2020). My Location Buffers [Dataset]. https://www.growbuckeye.com/datasets/my-location-buffers
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    Dataset updated
    Dec 9, 2020
    Dataset authored and provided by
    Buckeye, Arizona
    Area covered
    Description

    Business Analyst Buffers Layer

  8. O

    World Heritage Buffer

    • data.sanantonio.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 15, 2019
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    GIS Data (2019). World Heritage Buffer [Dataset]. https://data.sanantonio.gov/dataset/world-heritage-buffer
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    geojson, kml, gdb, zip, gpkg, html, txt, xlsx, arcgis geoservices rest api, csvAvailable download formats
    Dataset updated
    Apr 15, 2019
    Dataset provided by
    City of San Antonio
    Authors
    GIS Data
    Area covered
    World
    Description

    Buffer Zone for San Antonio Missions National Historical Park and World Heritage made from Historic Distircts, River Improvement Overlay, Roosevelt Corridor, Hertiage South Conservation Area.

  9. a

    Bus Stop Buffers

    • story-maps-slc.hub.arcgis.com
    • maps-slc.hub.arcgis.com
    • +1more
    Updated Sep 29, 2020
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    St. Lucie GIS (2020). Bus Stop Buffers [Dataset]. https://story-maps-slc.hub.arcgis.com/datasets/bus-stop-buffers
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    Dataset updated
    Sep 29, 2020
    Dataset authored and provided by
    St. Lucie GIS
    Area covered
    Description

    A 3/4 Mile buffer was made around each bus stop. This layer will depict the counties ADA service area. Requested by Community ServicesNOTE: THIS IS AN AGOL PUBLISHED SERVICE.

  10. a

    Zone A (GW-Several Months Time of Travel or SW 1000 ft buffer)

    • gis.data.alaska.gov
    • statewide-geoportal-1-soa-dnr.hub.arcgis.com
    • +3more
    Updated Oct 9, 2013
    + more versions
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    AK Department of Environmental Conservation AGO (2013). Zone A (GW-Several Months Time of Travel or SW 1000 ft buffer) [Dataset]. https://gis.data.alaska.gov/datasets/6e8aab1f0f6449c08dba50a47aeae009
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    Dataset updated
    Oct 9, 2013
    Dataset authored and provided by
    AK Department of Environmental Conservation AGO
    Area covered
    Description

    Zone A delineations for ground water sources represent the Several Month Time of Travel. For surface water sources, Zone A represents a 1000 ft buffer around the surface water source.

  11. a

    Greenspace Buffer Web Map

    • hub.arcgis.com
    • get-dunwoody.opendata.arcgis.com
    Updated May 18, 2017
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    Dunwoody ArcGIS Online (2017). Greenspace Buffer Web Map [Dataset]. https://hub.arcgis.com/maps/e58a577ce6fb4b4a992581616d6f9ab1
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    Dataset updated
    May 18, 2017
    Dataset authored and provided by
    Dunwoody ArcGIS Online
    License

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

    Area covered
    Description

    Link to Greenspace Buffer Web Map. Half Mile Buffer around Dunwoody Parks

  12. a

    Monorail Infrastructure Buffer

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +1more
    Updated Dec 22, 2023
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    City of Seattle ArcGIS Online (2023). Monorail Infrastructure Buffer [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::monorail-infrastructure-buffer
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    Dataset updated
    Dec 22, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Displays monorail infrastructure buffer set at 14 feet. The data is maintained by Seattle Department of Transportation.Feature Class: Monorail_Poly_14ftBuffRefresh Cycle: Manually refreshed as required.

  13. a

    Buffer of Completed Sites Buffers

    • univredlands.hub.arcgis.com
    Updated Mar 24, 2022
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    URSpatial (2022). Buffer of Completed Sites Buffers [Dataset]. https://univredlands.hub.arcgis.com/datasets/univredlands::superfund-site-layers?layer=14
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    Dataset updated
    Mar 24, 2022
    Dataset authored and provided by
    URSpatial
    Area covered
    Description

    Business Analyst Buffers Layer

  14. a

    Parcel Mailing Addresses Buffer App

    • richmond-geo-hub-cor.hub.arcgis.com
    Updated Oct 1, 2020
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    City of Richmond, VA (2020). Parcel Mailing Addresses Buffer App [Dataset]. https://richmond-geo-hub-cor.hub.arcgis.com/datasets/parcel-mailing-addresses-buffer-app
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    Dataset updated
    Oct 1, 2020
    Dataset authored and provided by
    City of Richmond, VA
    Area covered
    Description

    An app to create mailing address labels by parcel.User can select a buffer of a selected parcel or by a graphic shape. Layers:ParcelsAddresses

  15. a

    Springs 2-Mile Buffer (>500 GPM)

    • hub.arcgis.com
    • home-owrb.opendata.arcgis.com
    Updated Jul 13, 2022
    + more versions
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    Oklahoma Water Resources Board (2022). Springs 2-Mile Buffer (>500 GPM) [Dataset]. https://hub.arcgis.com/datasets/OWRB::arbuckle-simpson-buffer-zones?layer=2
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    Oklahoma Water Resources Board
    Area covered
    Description

    2-mile buffers for springs in the Arbuckle-Simpson aquifer with a flow above 500 GPM. Affects well spacing.

  16. a

    50 ft Buffer

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jul 12, 2017
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    West Chester University GIS (2017). 50 ft Buffer [Dataset]. https://hub.arcgis.com/maps/WCUPAGIS::50-ft-buffer-1
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    Dataset updated
    Jul 12, 2017
    Dataset authored and provided by
    West Chester University GIS
    Area covered
    Description

    West Chester Emergency poles

  17. a

    Buffer of PA Highways Lab 9 Renner

    • hub.arcgis.com
    Updated Nov 24, 2020
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    West Chester University GIS (2020). Buffer of PA Highways Lab 9 Renner [Dataset]. https://hub.arcgis.com/maps/WCUPAGIS::buffer-of-pa-highways-lab-9-renner
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    Dataset updated
    Nov 24, 2020
    Dataset authored and provided by
    West Chester University GIS
    Area covered
    Description

    Feature layer generated from running the Buffer Features solution. Input from PA Highways were buffered by [10] Miles

  18. a

    El Pilar Track Buffer

    • spatialdiscovery-ucsb.opendata.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated May 10, 2018
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    University of California, Santa Barbara (2018). El Pilar Track Buffer [Dataset]. https://spatialdiscovery-ucsb.opendata.arcgis.com/datasets/el-pilar-track-buffer
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    Dataset updated
    May 10, 2018
    Dataset authored and provided by
    University of California, Santa Barbara
    Area covered
    Description

    This Layer is a compilation of all GPS tracks recorded by GPSs used in the field by the Belize River Archaeological Settlment Survey Team and the 13m buffer of visability around those tracks up to the 2017 survey. After the buffers were created, all polygons were joined and divided based off of quad membership. Data on actual field coverage is stored in the area covered divided by total quad area. The data was cleaned, clipped, and processed at the MesoAmerican Research Center GIS Lab at UCSB.

  19. a

    Wetland buffer trigger

    • hub.arcgis.com
    • encourage-project-feedback-1-esriau.hub.arcgis.com
    Updated May 31, 2019
    + more versions
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    Logan City Council (2019). Wetland buffer trigger [Dataset]. https://hub.arcgis.com/maps/LoganCity::wetland-buffer-trigger
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    Dataset updated
    May 31, 2019
    Dataset authored and provided by
    Logan City Council
    Area covered
    Description

    This dataset was developed from data produced by Rastermatics which was derived from 2008 ALS data. To be used in conjunction with the Wetland_Area Feature Class which identifies corresponding wetlands.

  20. a

    Chattahoochee Buffer

    • hub.arcgis.com
    • geo-forsythcoga.opendata.arcgis.com
    • +1more
    Updated Sep 4, 2020
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    Forsyth County Georgia (2020). Chattahoochee Buffer [Dataset]. https://hub.arcgis.com/maps/5351378f625548848fdb80606373f753
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    Dataset updated
    Sep 4, 2020
    Dataset authored and provided by
    Forsyth County Georgia
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    Description

    This layer deliniates Community Character areas as developed in the 2017-2037 Forsyth County Compreshenvie Plan. Commnity Areas represent specific geographic locales that have unique, recognizable characteristics that are different from adjacent areas. Distinctions are based on the form, pattern and intensity of land development.Comprehensive Plan (2017 - 2037)The purpose of the Comprehensive Plan is to guide the intensity, location and timing of development and to ensure compatibility with existing uses, infrastructure and economic trends while protecting natural and cultural resources.Forsyth County's Comprehensive Plan serves as a policy guide as decisions are made in relation to growth and land use change. The plan addresses critical issues and opportunities through the incorporation of a shared vision for the community's future.Please see the Forsyth County website for a complete copy of the plan as well as a .PDF of the Community Character Maps

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Esri UK Education (2021). Create buffer around features [Dataset]. https://lecture-with-gis-esriukeducation.hub.arcgis.com/datasets/create-buffer-around-features
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Create buffer around features

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Dataset updated
Sep 17, 2021
Dataset provided by
Esrihttp://esri.com/
Authors
Esri UK Education
Description

The "Create Buffers" analysis tool in ArcGIS Online can be used to identify areas within a given distance of existing features, be those points, lines or polygons.The distance used for the buffers can either be a fixed distance from all features, or could be taken from a numerical value within each features attributes.

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