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.)

Rainfall gages throughout the County were selected based on spatial distribution and rainfall record length to determine the 85th and 95th percentile, 24-hour rainfall. The 85th and 95th percentile, 24-hour rainfall can be used to determine the stormwater quality design volume per Public Works Low Impact Design Manual.

You can also check out this data on an interactive map located here:

https://dpw.lacounty.gov/wrd/hydrologygis/

Click HERE to access the REST end point for 85th Percentile Rainfall data.

Click HERE to access the REST end point for 95th Percentile Rainfall data.

This dataset represents a high resolution urban land cover classification map across the southern California Air Basin (SoCAB) with a spatial resolution of 60 cm in urban regions and 10 m in non-urban regions. This map was developed to support NASA JPL-based urban biospheric CO2 modeling in Los Angeles, CA. Land cover classification was derived from a novel fusion of Sentinel-2 (10-60 m x 10-60 m) and 2016 NAIP (60 cm x 60 cm) imagery and provides identification of impervious surface, non-photosynthetic vegetation, shrub, tree, grass, pools and lakes.

Land Cover Classes in .tif file: 0: Impervious surface 1: Tree (mixed evergreen/deciduous) 2: Grass (assumed irrigated) 3: Shrub 4: Non-photosynthetic vegetation 5: Water (masked using MNDWI/NDWI)

Google Earth Engine interactive app displaying this map: https://wcoleman.users.earthengine.app/view/socab-irrigated-classification

A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.

City Boundary

These are the main layers that were used in the mapping and analysis for the Santa Monica Mountains Local Coastal Plan, which was adopted by the Board of Supervisors on August 26, 2014, and certified by the California Coastal Commission on October 10, 2014. Below are some links to important documents and web mapping applications, as well as a link to the actual GIS data:

Plan Website – This has links to the actual plan, maps, and a link to our online web mapping application known as SMMLCP-NET. Click here for website. Online Web Mapping Application – This is the online web mapping application that shows all the layers associated with the plan. These are the same layers that are available for download below. Click here for the web mapping application. GIS Layers – This is a link to the GIS layers in the form of an ArcGIS Map Package, click here (LINK TO FOLLOW SOON) for ArcGIS Map Package (version 10.3). Also, included are layers in shapefile format. Those are included below.

Below is a list of the GIS Layers provided (shapefile format):

Recreation (Zipped - 5 MB - click here)

Coastal Zone Campground Trails (2012 National Park Service) Backbone Trail Class III Bike Route – Existing Class III Bike Route – Proposed

Scenic Resources (Zipped - 3 MB - click here)

Significant Ridgeline State-Designated Scenic Highway State-Designated Scenic Highway 200-foot buffer Scenic Route Scenic Route 200-foot buffer Scenic Element

Biological Resources (Zipped - 45 MB - click here)

National Hydrography Dataset – Streams H2 Habitat (High Scrutiny) H1 Habitat H1 Habitat 100-foot buffer H1 Habitat Quiet Zone H2 Habitat H3 Habitat

Hazards (Zipped - 8 MB - click here)

FEMA Flood Zone (100-year flood plain) Liquefaction Zone (Earthquake-Induced Liquefaction Potential) Landslide Area (Earthquake-Induced Landslide Potential) Fire Hazard and Responsibility Area

Zoning and Land Use (Zipped - 13 MB - click here)

Malibu LCP – LUP (1986) Malibu LCP – Zoning (1986) Land Use Policy Zoning

Other Layers (Zipped - 38 MB - click here)

Coastal Commission Appeal Jurisdiction Community Names Santa Monica Mountains (SMM) Coastal Zone Boundary Pepperdine University Long Range Development Plan (LRDP) Rural Village

Contact the L.A. County Dept. of Regional Planning's GIS Section if you have questions. Send to our email.

The Wildland-Urban Interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census and USGS National Land Cover Data, to map the Federal Register definition of WUI (Federal Register 66:751, 2001) for the conterminous United States from 1990-2020. These data are useful within a GIS for mapping and analysis at national, state, and local levels. Data are available as a geodatabase and include information such as housing densities for 1990, 2000, 2010, and 2020; wildland vegetation percentages for 1992, 2001, 2011, and 2019; as well as WUI classes in 1990, 2000, 2010, and 2020.This WUI feature class is separate from the WUI datasets maintained by individual forest unites, and it is not the authoritative source data of WUI for forest units. This dataset shows change over time in the WUI data up to 2020.Metadata and Downloads

Legislative District web map application is created to review and visualize current LA County legislative districts in an interactive way. This web map application includes Supervisorial Districts 2021, US Congressional Districts, California State Senate Districts and State Assemble Districts. The data source is the LA County eGIS Repository. This web map layer also includes county boundary as well as countywide statistical area (CSA) boundary and city/community names.

In March 2015, the Los Angeles County Board of Supervisors approved a motion to initiate the Countywide Comprehensive Parks and Recreation Needs Assessment. This represents an unprecedented effort to document existing parks and recreation facilities in cities and unincorporated communities and to use these data to determine the scope, scale, and location of park need in Los Angeles County.The Parks Needs Assessment will help local officials, park agencies, and residents understand the future steps that need to be taken to ensure all communities have adequate access to thriving parks. This feature layer takes a closer look at park need in detail. To locate the overall study area results polygon layer, click here.

description: This geologic map database for the El Mirage Lake area describes geologic materials for the dry lake, parts of the adjacent Shadow Mountains and Adobe Mountain, and much of the piedmont extending south from the lake upward toward the San Gabriel Mountains. This area lies within the western Mojave Desert of San Bernardino and Los Angeles Counties, southern California. The area is traversed by a few paved highways that service the community of El Mirage, and by numerous dirt roads that lead to outlying properties. An off-highway vehicle area established by the Bureau of Land Management encompasses the dry lake and much of the land north and east of the lake. The physiography of the area consists of the dry lake, flanking mud and sand flats and alluvial piedmonts, and a few sharp craggy mountains. This digital geologic map database, intended for use at 1:24,000- scale, describes and portrays the rock units and surficial deposits of the El Mirage Lake area. It was prepared as part of a water-resource assessments of the area, describing and interpreting surface geology that provides information to help understand distribution and extent of deeper groundwater-bearing units. The area mapped covers the Shadow Mountains SE and parts of the Shadow Mountains, Adobe Mountain, and El Mirage 7.5-minute quadrangles. The map database includes detailed geology of surface and bedrock deposits, which represent a significant update from previous bedrock geologic maps by Dibblee (1960) and Troxel and Gunderson (1970), and the surficial geologic map of Ponti and Burke (1980); it incorporates a fringe of the detailed bedrock mapping in the Shadow Mountains by Martin (1992).; abstract: This geologic map database for the El Mirage Lake area describes geologic materials for the dry lake, parts of the adjacent Shadow Mountains and Adobe Mountain, and much of the piedmont extending south from the lake upward toward the San Gabriel Mountains. This area lies within the western Mojave Desert of San Bernardino and Los Angeles Counties, southern California. The area is traversed by a few paved highways that service the community of El Mirage, and by numerous dirt roads that lead to outlying properties. An off-highway vehicle area established by the Bureau of Land Management encompasses the dry lake and much of the land north and east of the lake. The physiography of the area consists of the dry lake, flanking mud and sand flats and alluvial piedmonts, and a few sharp craggy mountains. This digital geologic map database, intended for use at 1:24,000- scale, describes and portrays the rock units and surficial deposits of the El Mirage Lake area. It was prepared as part of a water-resource assessments of the area, describing and interpreting surface geology that provides information to help understand distribution and extent of deeper groundwater-bearing units. The area mapped covers the Shadow Mountains SE and parts of the Shadow Mountains, Adobe Mountain, and El Mirage 7.5-minute quadrangles. The map database includes detailed geology of surface and bedrock deposits, which represent a significant update from previous bedrock geologic maps by Dibblee (1960) and Troxel and Gunderson (1970), and the surficial geologic map of Ponti and Burke (1980); it incorporates a fringe of the detailed bedrock mapping in the Shadow Mountains by Martin (1992).

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

A ready to use interactive map version of this data is available here ....

The Los Angeles Stewardship Mapping and Assessment Project (STEW-MAP) was launched in 2013 by the Loyola Marymount University Center for Urban Resilience (CURes), with support from the USDA Forest Service Northern Research Station. The survey was sent in 2014-2015 to 715 groups and organizations participating in environmental stewardship in Los Angeles County. Responses were received from 140 stewardship organizations (19.5% response rate) and geographic descriptions of stewardship turfs from 115 organizations. The initial analyses revealed that survey respondents represented organizations from majority (57%) non-profit sector and about one-third (35%) public sector.One applied goal of the project is to inform development of a suite of online, publicly available tools that can facilitate local and regional natural resource planning and management. In 2016, the LA Urban Center for Natural Resources Sustainability partnered with CURes to support the development of STEW-MAP research driven products. Two participatory workshops were held in summer 2017 with Los Angeles practitioners to share LA County STEW-MAP results and gather input on how the data could be applied in their work. The workshops were attended by 27 participants, who provided feedback and helped prioritize STEW-MAP products. Deliverables from the workshops included the presentation slides, a white paper of LA County STEW-MAP results currently in development, and a publicly available data layer hosted on the CURes website.In 2018, CURes launched LA River STEW-MAP, with support from a USDA Forest Service Cost Share Challenge grant and the USDA Forest Service Pacific Southwest Research Station. This effort focuses on stewardship organizations working within the Los Angeles River watershed. The LA River STEW-MAP survey is scheduled to be sent in June 2019.STEW-MAP databases and interactive maps allow land managers, community organizations, non-profits, and the public to see where hundreds of environmental stewardship groups are working in a particular landscape of interest. This tool can be applied to strengthen capacity, promote engagement with on-the-ground projects, and build more effective partnerships among stakeholders. STEW-MAP data provide a rich complement to biophysical and geographic information on green infrastructure, improving outcomes for a wide range of applications.

The LA County 2021 Redistricting WebApp provides an interactive platform that allows users to explore the changes in supervisorial district boundaries between the 2010 and 2020 redistricting efforts. The app visually compares the old and new district maps, highlighting shifts in geographic adjustments and the impact on political boundaries. Users can toggle between the 2010 and 2020 maps to see how population changes and community needs influenced the redrawing of district lines, ensuring fair and equitable representation across the county.

This dataset represents a high-resolution irrigated land use map across the Southern California Air Basin (SoCAB) with a spatial resolution of 30 m. This map was developed to support urban biospheric CO2 and hydrological modeling in Los Angeles, CA. The map distinguishes between irrigated and non-irrigated vegetation and masks out all non-vegetated surfaces in SoCAB. The land use map was derived from a combination of vegetation-fraction weighted ECOSTRESS land surface temperature (LST) imagery and Landsat-8 optical imagery.

Band 1: Irrigated vegetation classification (0 = non-vegetation, 1 = irrigated vegetation, 2 = non-irrigated vegetation) Band 2: Irrigated vegetation classification uncertainty (e.g., 0.65 = 65% confident that the supervised classification model correctly predicted a pixel was irrigated or non-irrigated)

Google Earth Engine interactive app displaying this map: https://wcoleman.users.earthengine.app/view/socab-irrigated-classification

A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.

An ArcGIS Blog tutorial that guides you through creating your first dashboard using ArcGIS Dashboards.ArcGIS Dashboards is a configurable web app available in ArcGIS Online that enables users to convey information by presenting interactive charts, gauges, maps, and other visual elements that work together on a single screen.In this tutorial you will create a simple dashboard using ArcGIS Dashboards. The dashboard uses a map of medical facilities in Los Angeles County (sample data only) and includes interactive chart and list elements._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This map presents a tour of the City of Redlands, California using the detailed map of Redlands included in the community basemap. The City of Redlands is located in Southern California, about 65 miles east of Los Angeles. The map tour highlights some of the unique features in the history of Redlands as well as several of the places and events that make it a very livable community today.The map features a detailed basemap for the City of Redlands, California, including buildings, parcels, vegetation, land use, landmarks, streets, and more. The map features special detail for areas of high interest within the City, including local parks, landmarks, and the ESRI campus.The map references detailed GIS data provided by the City of Redlands, Department of Innovation and Technology, GIS Division. The map was authored using map templates available from ESRI, including:Topographic Map Template - Large ScalesCampus Basemap TemplateThe map was published as part of ESRI's Community Maps Program and is one of several detailed maps of cities and counties in the World Topographic Map.

Facilities Web Map. SCAQMD Facilities in Orange County and the urban portions of Los Angeles, Riverside and San Bernardino counties.

This web app features three dashboards and one interactive map that display multiple characteristics of the Greater Los Angeles Region as developed and mapped in three assessments. The Nature Conservancy generated these analyses to help determine the optimal places to site nature-based solutions to support biodiversity, manage stormwater, and provide a variety of additional benefits to nature and people. The three dashboards are configured to allow the user to visualize the characteristics identified in each study within administrative areas (cities, neighborhoods, political districts) and natural areas (watersheds).

This is a web map constructed from the Eddy Arboretum geodatabase and Map Layers, which was then used to create the Eddy Arboretum Interactive Map. Editing of polygons was done primarily in ArcGIS Pro before being imported to ArcGIS Online. Note that some lichen species were removed in this interface from the Map Layers, as directed by reviewer comments. You can find the full Eddy Arboretum Interactive Map (Web Experience) here. If you have questions or comments about the creation of this map or any specific details regarding the information within, please contact Kara Kaur Sanghera. Kara is now affiliated with the Department of Geography at the University of California, Los Angeles, and can be reached at karakaur01@ucla.edu. If you need to update the ArcGIS shapefiles found in this map, please contact Courtney Canning (courtney.a.canning@usda.gov) or Christopher Looney (christopher.looney@usda.gov).

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. Countywide Statistical Areas (CSA) are current as of October 2023.

Fields ending in _yr1 were calculated for the original 2021-2022 SBLA report, while fields ending in _yr2 or without a year suffix were calculated for the 2023-2025 version. Eviction Filings per 100 (eviction_filings_per100) and Life Expectancy (life_expectancy) did not have updated data and are the same data shown in the Year 1 report.

Population and demographic data are from US Census American Community Survey (ACS) 5-year estimates, aggregated up from census tract or block group to CSA. Year 1 data are from 2020, year 2 data are from 2022.

Poverty Data (200% FPL) are from LA County ISD-eGIS Demographics. Year 1 data are from 2021, Year 2 are from 2022.

The 2023-2025 report includes several new indicators that are calculated as the percent of countywide population by race that resides in a geographic area of interest. Population for these indicators is estimated based on intersection with census block group centroids. These indicators are:

Indicator

Fields

Source

Health Professional Shortage Areas (HPSA) for Primary Care

hpsa_primary_pct hpsa_primary_black_pct

LA County DPH https://data.lacounty.gov/datasets/lacounty::health-professional-shortage-area-primary-care/about

Health Professional Shortage Areas (HPSA) for Mental Health

hpsa_mental_pct hpsa_mental_black_pct

LA County DPH https://data.lacounty.gov/datasets/lacounty::health-professional-shortage-area-mental-health/about

Concentrated Disadvantage

cd_pct cd_black_pct

LA County ISD-Enterprise GIS https://egis-lacounty.hub.arcgis.com/datasets/lacounty::concentrated-disadvantage-index-2022/explore

Firearm Dealers

firearm_dl_count (count of dealers in CSA) firearm_dl_per10000 (rate of dealers per 10,000)

LA County DPH Office of Violence Prevention (OVP)

High and Very High Park Need Areas

parks_need_pct parks_need_black_pct

LA County Parks Needs Assessment Plus (PNA+) https://lacounty.maps.arcgis.com/apps/instant/media/index.html?appid=3d0ef36720b447dcade1ab87a2cc80b9

High Quality Transit Areas

hqta_pct hqta_black_pct

SCAG https://lacounty.maps.arcgis.com/home/item.html?id=43e6fef395d041c09deaeb369a513ca1

High Walkability Areas

walk_total_pct walk_black_pct

EPA Walkability Index https://www.epa.gov/smartgrowth/smart-location-mapping#walkability

High Poverty and High Segregation Areas

highpovseg_total_pct highpovseg_black_pct

CTCAC/HCD Opportunity Area Maps https://www.treasurer.ca.gov/ctcac/opportunity.asp

LA County Arts Investments

arts_dollars (total $$ for CSA) arts_dollars_percap (investment dollars per capita)

LA County Department of Arts and Culture https://lacountyartsdata.org/#maps

Strong Start (areas with at least 9 Strong Start indicators)

strongstart_total_pct strongstart_black_pct

CA Strong Start Index https://strongstartindex.org/map

For more information about the purpose of this data, please contact CEO-ARDI.

For more information about the configuration of this data, please contact ISD-Enterprise GIS.