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.

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.

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
   • With Coastal Buffers
   • Without Coastal Buffers
2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
   • With Coastal Buffers
   • Without Coastal Buffers
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.
   • With Coastal Buffers (this dataset)
   • Without Coastal Buffers
4. Place Abbreviations
5. Unincorporated Areas (Coming Soon)
6. Census Designated Places (Coming Soon)
   
7. Cartographic Coastline
   • Polygon
   • Line source (Coming Soon)

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

This data set is intended to be paired with the CBRS Polygons and CBRS Prohibitions data sets to illustrate the stated horizontal accuracy of the boundaries therein. Users should pair this data with the CBRS Polygons or CBRS Prohibitions data and an orthoimage when inspecting areas that are within or in close proximity to the CBRS. Users are advised to contact the Service for an official determination as to whether a particular property or structure that falls either partially or completely within the CBRS Buffer Zone is located within the CBRS. For more information, see the metadata for the CBRS Polygons and CBRS Prohibitions available at https://www.fws.gov/media/digital-coastal-barrier-resources-system-boundaries.

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

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.

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

The City developed a Recreation and Park Master Plan to strategically address and enhance its greenspace and greenways, recreation, parks, open space, and trails. The Master Plan assess the current inventory and determines the potential of adding more recreation and parks initiatives. The plan was developed in 2018 and adopted in 2019. This layer contains buffers of the existing parks at the time of the study.

100 ft upland buffer from MassDEP identified wetlands.

Low with 50m and 100m buffer of the road junctions. This data layer is updated annually in January on the basis of the road nodes from the Flemish Geopunt - http://www.geopunt.be/catalogue/datasetfolder/7c823055-7bbf-4d62-b55e-f85c30d53162 . (see also geodata portal - https://geoportaal.antwerpen.be/portal/home/search.html?q=road node , open geodata portal - http://portal-stadantwerpen.opendata.arcgis.com/datasets?q=road node , quantified in city in figures - https://stadincijfers.antwerpen.be/Databank/Jive/?workspace_guid=f7ba9b79-69c7-4ed3-8cdc-82d27ce13cb5 ) In order to build a fine-meshed pedestrian network, it is important that the pedestrian can cross every 50m or 100m max. This permeability or street connectivity is done on the basis of road junctions. These junctions are located at the junction of all roads intended for pedestrians (motorised and non-motorised roads: crossing for pedestrians and cyclists, paths in parks, except motorways). To provide a road junction every 50 or 100m, it is easy to detect on the basis of the buffers. If there are still streets or large barriers visible, then you need a crossing.

Retired 8/18/2021 since it takes so long to draw. Use the vector tile layer instead.The following length statistics reflect the geometric length of hydrology features that were generated using a National Elevation Dataset (NED) DEM with the ArcHydro extension in ArcMap. The analysis inputs required twenty-five (25) acre accumulation prior to beginning a stream line. Stream orders were assigned using the Strahler method via a toolbox available through ArcGIS. These orders were manually validated.

This layer is a 45-meter growth buffer surrounding the maximum extent of eelgrass (green layer called "SF Bay Eelgrass") surveyed in San Francisco Bay. Eelgrass beds are highly dynamic and the exact location and extent of eelgrass beds can change across seasons and years. Thus, the purpose of the 45-meter growth buffer, as described in the National Marine Fisheries Service's LTMS Programmatic Essential Fish Habitat consultation is to account for areas between eelgrass patches, temporal variation in bed extent, and potential bed expansion. In cases where a dredge project intersects with the 45-meter growth buffer direct impacts to eelgrass may occur and therefore assessment, minimization, and mitigation measures may be required on a project-by-project basis. A pre-dredge eelgrass area and density survey is required 30 days prior to the start of dredging and should be submitted to the LTMS permitting agencies. Methods for creating this layer are as follows: Downloaded Baywide Eelgrass Surveys for 2003, 2009, and 2014 by Merkel & Associates, Inc. (Merkel) from San Francisco Estuary Institute (SFEI) website. Obtained Richardson Bay 2019 eelgrass survey from Merkel. Loaded all layers into ArcGIS Pro © ESRI and re-projected all data to NAD 1983 UTM Zone 10N. Used Buffer tool to develop a single multipart shapefile with a 45-meter buffer of the input layers. Imported the Pacific Marine and Estuarine Fish Habitat Partnership (PMEP) Estuary Extent layer and clipped the 45-meter buffer over terrestrial areas based on the PEMP Estuary Extent. Some minor adjustments were made where the buffer layer resulted in fragments on land or behind levees.

The Green Zones Ordinance was adopted by the Board of Supervisors on July 14, 2022. As stated in the summary memo: "The Green Zones Ordinance seeks to enhance public health and land use compatibility in the unincorporated communities that bear a disproportionate pollution burden and establish Countywide standards for recycling and waste management." For more information about the Green Zones Program, please visit our website here.Using the data layers for Sensitive Uses that were used in the Green Zones ordinance, these are the 500' buffers from sensitive uses within Green Zone Districts. Sensitive Uses include schools, dwelling units, playgrounds, nursing homes, hospitals and licensed day care facilities.UPDATE HISTORY:1/20/22 - Layer created6/1/22 - Layer was updated to remove non-conforming residential Assessor uses from within an industrial zone, which reduced some of the buffers within Avocado Heights, East Los Angeles, West Rancho Dominguez-Victoria, and Willowbrook.7/5/22 - Added one additional school that was missed previously (a High School and Charter School within SW Comm College in W. Athens), and added to the buffering there.

This map was produced for the Murfreesboro, Tennessee Urban Tree Canopy Assessment project. Data were derived from USDA's National Agriculture Imagery Program (NAIP) 2021 imagery. Results were aggregated to various target geographies. Basemap provided by ESRI. June 10, 2022. 04_UTCChangebyCreekBuffer map.This Urban Tree Canopy (UTC) Assessment of Murfreesboro, TN was conducted by PlanIT Geo, Inc. for the City of Murfreesboro, Tennessee. Using high-resolution aerial imagery from the USDA's National Agriculture Imagery Program (NAIP), PlanIT Geo used remote sensing and GIS techniques to map and measure land cover types across several geographic scales. This assessment identifies existing UTC and Possible Planting Areas (PPA) to assist in developing an urban forest management planning.

This feature class describes areas around water supply wells described by “AESI_InfilInfeas_WaterWells_KingCounty” and “AESI_InfilInfeas_WaterWells_CityOfBellevue” where infiltration is not permitted.100 foot buffers were applied around the point describing the well location except where location accuracy was indicated to be parcel scale. For wells where location accuracy was indicated as parcel-scale, the buffer was applied to the parcel boundary.This feature class is part of Appendix C, GIS Files and Documentation, of the Infiltration Infeasibility Analysis and Technical Report, prepared for the City of Bellevue Utilities Department by Associated Earth Sciences, Inc, April 4, 2016.

A polygon feature representing either an intermittent stream or a wetland that does not satisfy the criteria of an RPA. This identification is mandated through the Chesapeake Bay Program requirements and the City's Environmental Management Ordinance (Article XIII). This represents a 50 foot requirement for a natively vegetated buffer adjacent these sensitive areas. Impervious surfaces are prohibited in this buffer area except under special circumstances.

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.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)Working with Coastal BuffersThe 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, odsdataservices@state.ca.govField 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

This layer comprises 200 feet of the US Government Meander line and locations where information suggests the probability of potential archaeologically significant resources should ensure analysis of these significant resources. More information can be found in DR2-98 and Seattle Municipal Code Section (SMC 25.05.675H).Source Data: DPD.ArchaeologicalBufferAreaRefresh: As needed

Surveys conducted for nesting bald eagle are done throughout the summer by NDOW and CA State Parks, with some help by TRPA. This layer shows all nests that were active during the 2017 season. Both active and inactive bald eagle nests are protected under TRPA regulations. Only active nests that produce at least 1 fledgling are counted by TRPA as part of its' Threshold Standard for nesting bald eagles.

Park_HalfMileBuffer

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