Feature layer generated from running the Find Centroids solution for City_Owned_Parks_Diss (https://iowa.maps.arcgis.com/home/item.html?id=2ea12393440345db9792ed33913a2354)

Alaska incorporated and unincorporated community locations. This includes all City and Borough classes, CDP's, and localities (places of interest). It also includes communities/places considered to be historic (no longer populated). A CommunityAreaTypeID field value of 1 indicates location is a Community by this DCRA Definition:Is a City, Borough, or an unincorporated area with a qualified entity that has received money from the Community Assistance Program at least once within the last five (5) consecutive years. For more information on city and borough types, see Local Government in AlaskaA CommunityAreaTypeID field value of 2 indicates location is a Place of Interest (POI) by this DCRA Definition:Population Clusters inside a Unified Home Rule Borough or CityPopulation Clusters outside a Unified Home Rule Borough or CityCensus AreasCensus Designated Places (CDPs) that do not meet the definition of a communitySeasonally Inhabited Places that include areas with summer cabins or campsMilitary Bases, Work Camps, and similar areas that are not open to the publicRelocation Sites to which residents are moving from a location impacted by erosion or floodingRecreation SitesVacant Sites of former towns or native villagesCommercial Service AreasResource Development SitesANCSA VillagesSee https://dcra-cdo-dcced.opendata.arcgis.com/pages/metadata for these definitions.Source: Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs

Location of Lynchburg City Schools including public elementary, middle, high, and special education schools.

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.

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
   • With Coastal Buffers
   • Without Coastal Buffers (this dataset)
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
   • Without Coastal Buffers
4. City and County Abbreviations
5. Unincorporated Areas (Coming Soon)
6. Census Designated Places
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

• 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

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to a variety of vertical datums and horizontal datum of World Geodetic System of 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).The DEM Global Mosaic is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), along with the global GEBCO_2014 grid: http://www.gebco.net/data_and_products/gridded_bathymetry_data. NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). Elevation values have been rounded to the nearest meter, with DEM cell sizes going down to 1 arc-second. Higher-resolution DEMs, with greater elevation precision, are available in the companion NAVD88: http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042 and MHW: http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799 mosaics. By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Please see NCEI's corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. In this visualization, the elevations/depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png.A map service showing the location and coverage of land and seafloor digital elevation models (DEMs) available from NOAA's National Centers for Environmental Information (NCEI). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. Layers available in the map service: Layers 1-4: DEMs by Category (includes various DEMs, both hosted at NCEI, and elsewhere on the web); Layers 6-11: NCEI DEM Projects (DEMs hosted at NCEI, color-coded by project); Layer 12: All NCEI Bathymetry DEMs (All bathymetry or bathy-topo DEMs hosted at NCEI).This is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), with vertical units referenced to mean high water (MHW). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service provides data from many individual DEMs combined together as a mosaic. By default, the rasters are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Alternatively, a single DEM or group of DEMs can be isolated using a filter/definition query or using the 'Lock Raster 'mosaic method in ArcMap. This is one of three services displaying collections of DEMs that are referenced to common vertical datums: North American Vertical Datum of 1988 (NAVD88): http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042, Mean High Water (MHW): http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799, and Mean Higher High Water: http://noaa.maps.arcgis.com/home/item.html?id=9471f8d4f43e48109de6275522856696. In addition, the DEM Global Mosaic is a general-purpose global, seamless bathymetry/topography mosaic containing all the DEMs together. Two services are available: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff Elevation Values: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff and Color Shaded Relief: http://noaa.maps.arcgis.com/home/item.html?id=feb3c625dc094112bb5281c17679c769. Please see the corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. This service has several server-side functions available. These can be selected in the ArcGIS Online layer using 'Image Display ', or in ArcMap under 'Processing Templates '. None: The default. Provides elevation/depth values in meters relative to the NAVD88 vertical datum. ColorHillshade: An elevation-tinted hillshade visualization. The depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png. GrayscaleHillshade: A simple grayscale hillshade visualization. SlopeMapRGB: Slope in degrees, visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/SlopeMapLegend_V7b.png. SlopeNumericValues: Slope in degrees, returning the actual numeric values. AspectMapRGB: Orientation of the terrain (0-360 degrees), visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/AspectMapLegendPie_V7b.png. AspectNumericValues: Aspect in degrees, returning the actual numeric values.

Copy of https://www.arcgis.com/home/item.html?id=85d0ca4ea1ca4b9abf0c51b9bd34de2e This layer presents the locations of cities within the United States with populations of approximately 10,000 or greater, all state capitals, and the national capital.

This dataset provides a geographical location (in decimal degrees to the nearest second) for all officially named geographical features within the Province of Manitoba. The purpose of this dataset is to provide a geographical location (in decimal degrees to the nearest second) for all officially named geographical features within the Province of Manitoba, as per the Manitoba Geographical Names Program. The program’s mission is to: “embrace the active preservation of the province’s culture through its toponymy, and provides a naming authority for the enhancement, maintenance, dissemination, and protection of Manitoba’s geographical nomenclature recognizing the integral role geographical names play in our daily lives including their essential value to our scientific, commercial, and economic world.” As part of the program, staff administer and maintain all nomenclature records, an automated names information system, a resource library and archives, supplementary name location maps, a bibliography of name studies, and a commemorative names project. The Manitoba’s Geographical Names database contains more than 24, 000 official and heritage place names found throughout Manitoba. For each place name, the data set contains geographic coordinates, the type of feature, the name’s approval data, its location reference, plus any heritage information recorded about the name. Fields included (Alias (Field Name): Field description.) OBJECTID (OBJECTID): Sequential unique whole numbers that are automatically generated. Shape (Shape): Coordinates defining the features. Geographical Name (Geographical_Name): Current official name. Unique National Identifier (Field Unique_National_Identifier): Unique national identificatier applied to each toponym by the Geographical Names Board of Canada member for Manitoba. Feature Code (Feature_Code): Numeric code used to classify toponyms based on the nature of the related geographical feature. NTS 250,000 Map Sheet (NTS_250_000_Map_Sheet): Map number of the National Topographic System (NTS) 1:250 000 map sheet that contains the centroid of the toponym. NTS 50,000 Submap Sheet (NTS_50_000_Submap_Sheet): Map number of the National Topographic System (NTS) 1:50 000 map sheet that contains the centroid of the toponym. Latitude (Latitude): Latitude in Decimal Degrees. Longitude (Longitude): Longitude in Decimal Degrees. Casualty Hometown (Casualty_Hometown): Hometown that was provided by the casualty of war at time of enlistment. Casualty Regimental Number (Casualty_Regimental_Number): Regimental number of the casualty of war at the time of their death. Casualty Rank (Casualty_Rank): Rank of the casualty of war at the time of their death. Casualty Surname (Casualty_Surname): Surname of the casualty of war at the time of their death. Casualty Given Name(s) (Casualty_Given_Name_s_): Given name(s) of the casualty of war at the time of their death. Casualty Date of Death (Casualty_Date_of_Death): Date of death for the casualty of war. Casualty Regiment (Casualty_Regiment): Military affiliation of the casualty of war at the time of their death. Casualty Place of Burial (Casualty_Place_of_Burial): Place of burial of the casualty when the geographical feature is named in honour of a casualty of war. Feature Type (Feature_Type): Type of geographical feature, e.g. lake, island, bay, town, city. Feature Type Description (Feature_Type_Description): Description of the geographical feature.

The City of Sydney Library has 9 branches where you can browse and borrow from the collection, access free wifi and use our public computers and printers. There are also 2 unstaffed branches in the network where you can pick up and drop off loans and access free wifi.More information on Libraries

City Hall locations in Kentucky. This layer was originally created by the Area Development Districts. Locations updated using E911 address points provided by the Kentucky State 911 Services Board in 2024. Address and contact information based on City websites and DLG Municipal home web site. Some Cities are not included in the layer due to lack of physical address information.

This item is part of the Voting Site Lookup Tool.Application:Voting Site Lookup Tool - Overview (arcgis.com)Map:Voting Location Lookup - Overview (arcgis.com)Application Specific Layers:City of Friendswood - Addresses for Voting - Overview (arcgis.com)2023 Harris_Galveston Voting Locations - Overview (arcgis.com)Reference Layers:City of Friendswood - County Election Precincts Layer - Overview (arcgis.com)Friendswood City Limits-View - Overview (arcgis.com)Basemap Layer: Friendswood Aerials 2022 - Overview (arcgis.com)

Locations of city and town halls in Rhode Island. Derived using information originally compiled by the State of Rhode Island (http://www.ri.gov), and built upon address location data contributed to the Rhode Island Geographic Information System (RIGIS) consortium by the Rhode Island Enhanced 911 Uniform Emergency Telephone System (RIE911). This dataset was developed with support from Broadband Rhode Island (http://broadband.ri.gov).

Northeastern United States Town Boundary data are intended for geographic display of state, county and town (municipal) boundaries at statewide and regional levels. Use it to map and label towns on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

This point feature layer represents the crossing gaps and existing crossing locations identified in the Tampa MOVES Citywide Mobility Plan (July 2023), which is the City of Tampa's transportation plan for the next 30 years. The MOVES plan is centered on the guiding principles of Mobility, Opportunity, Vision, Equity, and Safety and uses a data-driven, equitable process to prioritize transportation projects and to address all mobility needs. More information regarding this process can be found in the Tampa MOVES Citywide Mobility Plan (July 2023). Intended use is for planning purposes only.

Locations of Johnson City owned recreational areas and city maintained parks.

This feature layer provides digital tax parcels for the Organized Towns of the State of Maine. Within Maine, real property data is maintained by the government organization responsible for assessing and collecting property tax for a given location. Organized towns and townships maintain authoritative data for their communities and may voluntarily submit these data to the Maine GeoLibrary Parcel Project. "Maine Parcels Organized Towns Feature" and "Maine Parcels Organized Towns ADB" are the product of these voluntary submissions. Communities provide updates to the Maine GeoLibrary on a non-regular basis, which affects the currency of Maine GeoLibrary parcels data. Another resource for real property transaction data is the County Registry of Deeds, although organized town data should very closely match registry information, except in the case of in-process property conveyance transactions. In Unorganized Territories (defined as those regions of the state without a local government that assesses real property and collects property tax), the Maine Revenue Service is the authoritative source for parcel data. "Maine Parcels Unorganized Territory Feature" is the authoritative GIS data layer for the Unorganized Territories. However, it must always be used with auxiliary data obtained from the online resources of Maine Revenue Services (https://www.maine.gov/revenue/taxes/property-tax) to compile up-to-date parcel ownership information. Property maps are a fundamental base for many municipal activities. Although GIS parcel data cannot replace detailed ground surveys, the data can assist municipal officials with functions such as accurate property tax assessment, planning and zoning. Towns can link maps to an assessor's database and display local information, while town officials can show taxpayers how proposed development or changes in municipal services and regulations may affect the community. In many towns, parcel data also helps to provide public notices, plan bus routes, and carry out other municipal services.

This dataset contains municipality-submitted parcel data along with previously developed parcel data acquired through the Municipal Grants Project supported by the Maine Library of Geographic Information (Maine GeoLibrary). Grant recipient parcel data submissions were guided by standards presented to the Maine GeoLibrary Board on May 21, 2005, which are outlined in the "Standards for Digital Parcel Files" document available on the Maine GeoLibrary publications page (https://www.maine.gov/geolib/policies/standards.html). This dataset also contains municipal parcel data acquired through other sources; the data sources are identified (where available) by the field “FMSCORG”. Note: Join this feature layer with the "Maine Parcels Organized Towns ADB" table (https://maine.hub.arcgis.com/maps/maine::maine-parcels-organized-towns-feature/about?layer=1) for available ownership information. A date field, “FMUPDAT”, is attributed with the most recent update date for each individual parcel if available. The "FMUPDAT" field will not match the "Updated" value shown for the layer. "FMUPDAT" corresponds with the date of update for the individual data, while "Updated" corresponds with the date of update for the ArcGIS Online layer as a whole. Many parcels have not been updated in several years; use the "FMUPDAT" field to verify currency.

The Park Locator is a web application that can be used by the general public to locate a park or recreation facility near their home, and obtain information about recreation activities and amenities in the City of Cibolo.

Community Boundaries from Survey Points - Dukes County.This datalayer provides the legislatively authorized town boundary survey points for the 7 communities/Towns of Dukes County, Massachusetts. This layer contains points representing the coordinates of town corners and witness marks.Attribute Coordinates of North83 and East83 are in in NAD83 Mass. State Plane meters. The original dataset from MassGIS is in Mass Stateplane Mainland NAD83 meters. The dataset was NOT reprojected prior to upload into ArcGIS OnLine.The survey point locations depicted in this data set are based on coordinate values extracted from the 68-volume Harbor and Lands Commission Town Boundary Atlas for the 351 communities (cities and towns) in Massachusetts. The Atlas was published in the early 1900's and is maintained by the Survey Section of Massachusetts Highway Department.The Martha's Vineyard Commission downloaded the full MassGIS Town Survey Points dataset in June of 2020 and extracted only those points within Dukes County. While the State-wide dataset has been updated, since this download, not modifications have applied to Dukes County towns.Full MassGIS Metadata

Important Note: This item is in mature support as of October 2022 and will be retired in December 2024. A new version of this item is available for your use.This layer presents the locations of cities within the United States with populations of approximately 10,000 or greater, all state capitals, and the national capital. Its layers symbolize the cities by population class (based on 2015 projected population) using the manual classification method.

City of St. Augustine - Bike Rack Location Map

Hours, locations, and amenities for Chapel Hill parks as shown on the Town of Chapel Hill's website. This dataset includes a map with points for each park location.