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TwitterPolygon vector map data covering boundaries for the City of Los Angeles containing 4 features.
Boundary GIS (Geographic Information System) data is spatial information that delineates the geographic boundaries of specific geographic features. This data typically includes polygons representing the outlines of these features, along with attributes such as names, codes, and other relevant information.
Boundary GIS data is used for a variety of purposes across multiple industries, including urban planning, environmental management, public health, transportation, and business analysis.
Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description: The neighborhoods shown in this dataset are derived from a larger dataset drawn and maintained by the Data Desk, a team of Times reporters and Web developers in downtown L.A. The boundaries have expanded and shifted over time and now cover all of Los Angeles County broken down into 272 neighborhoods.This version of the LA Times boundaries only includes neighborhoods fully or partially within the City of Los Angeles. Neighborhoods that extend into other cities have been clipped to only show the portion(s) of the neighborhoods that are within the City of Los Angeles.Data Source: Los Angeles Times' Mapping LA project.Last Updated: October 7, 2016Refresh Rate: Never - Historical data (Note: should the LA Times update their Mapping LA project with new boundaries in the future, a new LA-specific layer will be added to the GeoHub as well.)
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TwitterLos Angeles County includes 88 incorporated cities and over 2,600 square miles of unincorporated area. The majority of the County’s 10 million residents live inincorporated cities, and about 1 million residents live in unincorporated areas. To ensure that communities across the County received equal representation in the Parks Needs Assessment, the County was divided into individual Study Areas. These geographic boundaries were developed using a GIS-based process that considered existing jurisdictional boundaries such as supervisorial districts, city borders, and County planning areas alongside information about population.The initial Study Area boundaries were reviewed by the Steering Committee at their first meeting. Revised Study Area boundaries incorporated Steering Committeecomments and resulted in a total of 189 Study Areas. However, due to its annexation into the City of Santa Clarita, one unincorporated community was later eliminated, bringing the final total number of Study Areasto 188. The process of establishing Study Area boundaries is illustrated in Figure 5. Each incorporated city was initially assigned a single Study Area. Cities with population over 150,000 were split into two or more Study Areas, to create a more even distribution of population among Study Areas. Each of these larger cities was allocated a number of Study Areas based on their total population:»» City of Los Angeles: 43 Study Areas»» City of Long Beach: 5 Study Areas»» City of Glendale: 2 Study Areas»» City of Santa Clarita: 2 Study Areas»» City of Lancaster: 2 Study Areas»» City of Palmdale: 2 Study Areas»» City of Pomona: 2 Study Areas»» City of Torrance: 2 Study Areas»» City of Pasadena: 2 Study AreasFor each of these cities, project consultants suggested internal Study Area boundaries based on input from city staff, geographic barriers such as major roadways, Citydeveloped boundaries such as council districts or planning areas, and population distribution. Final determination of the internal boundaries of the Study Areas was at the discretion of city staff.Unincorporated communities in the County were evaluated based on population size and geographic location. Each of the 187 incorporated communities was addressed as follows:»» Geographically isolated communities with small populations were added to the Study Area of the adjacent, like-named city. A total of 18 cities agreed toinclude an adjacent unincorporated community within their Study Area boundaries.»» Distinct and/or geographically isolated communities with larger populations each became an individual Study Area. Any of these communities with more than150,000 people was split into two Study Areas, similar to what was done for large cities.»» Geographically adjacent communities with small populations were grouped according to community name and geography, population distribution, andstatistical areas.»» Each Study Area was assigned a unique identification number, illustrated in Figure 6, Figure 7, and Table 1.
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TwitterThe City Official boundary extends six miles off the coast of Los Angeles County as required by the State of California official boundary for City's along the coast. The City Boundary provided here supports map cartography is the traditional view of Long Beach that highlights the Port of Long Beach and shore line. This is not the official City Limits and is commonly used to support map products for the Harbor and beach communities.
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TwitterThe City Official boundary extends six miles off the coast of Los Angeles County as required by the State of California official boundary for City's along the coast.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents Global Subnational River-Borders (GSRB), a first global geospatial dataset of subnational, as well as national, political borders set by large rivers. GSRB incorporates three previous vector datasets (GAUL, GRWL + +, and WDBII) to map and quantify the use of large rivers as political borders at local (Level 2), state (Level 1), and national (Level 0) scales.
When referencing this dataset, please use the full paper citation:
Sarah J. Popelka, Laurence C. Smith; Rivers as political borders: a new subnational geospatial dataset. Water Policy 1 June 2020; 22 (3): 293–312. doi: https://doi.org/10.2166/wp.2020.041
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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| Complete | Incomplete |
| Albany, City of | Alameda, City of |
| Berkeley, City of | Oakland, City and Port |
| Emeryville, City of | Martinez, City of |
| Peralta Junior College District | East Bay Regional Park District |
| Antioch, City of | Eureka, City of |
| Pittsburg, City of | Humboldt Bay Harbor Recreation and Conservation District |
| Richmond, City of | Long Beach, City of |
| Crescent City | Los Angeles, City and Port |
| Crescent City Harbor District | Santa Monica, City of |
| Arcata, City of | Marin, County of |
| Trinidad, City of | San Rafael, City of |
| Avalon, City of | Carmel Sanitary District |
| Hermosa Beach, City of |
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TwitterThis lidar point data set collected during low tide conditions along an approximately 500-700 meter wide strip of the Southern California coastline within an area extending south from Long Beach to the US/Mexico border. Data were collected in Los Angeles, Orange and San Diego counties from south of the Downtown Long Beach Marina in Long Beach, California to Oceanside Harbor on April 13, 2008 be...
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TwitterPolygon vector map data covering boundaries for the City of Los Angeles containing 4 features.
Boundary GIS (Geographic Information System) data is spatial information that delineates the geographic boundaries of specific geographic features. This data typically includes polygons representing the outlines of these features, along with attributes such as names, codes, and other relevant information.
Boundary GIS data is used for a variety of purposes across multiple industries, including urban planning, environmental management, public health, transportation, and business analysis.
Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.