Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Greendale Fire DepartmentData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Medical & Emergency Response) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Medical Emergency Response Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

This web application displays Fire Response and Cal Fire assist grid cells, aircraft response areas, Police Reporting Districts, Police and Fire stations, hydrants and knox boxes as well as other pertinent geographic data layers. In order to view specific information about a location, layer(s) which contain that information must be turned on and visible. When an area within the map is "clicked", layers that are currently visible and below your cursor will display attributes in a pop-up window. Click on the left and right arrows in the pop-up window to view information about each of the visible layers.

Feature layer containing authoritative essential responder points for Sioux Falls, South Dakota.

Emergency Response Boundaries have been extracted from the WA (Enhanced) E911 system. They represent the response boundaries of emergency service providers across Washington State. Includes individual layers for Emergency Medical Services (EMS), Fire Services (Fire), and Law Enforcement Services (Law).

The ERCC (Emergency Response Coordination Center), as part of DG ECHO, coordinates the EU response to natural and man-made disasters. The ERCC, in close cooperation with JRC, publishes on a daily basis a product called ‘ECHO Daily Map’. The maps are reflecting data on various emergency situations, such as floods, earthquakes, forest fires, pandemics; climate change related topic such as sea-ice anomalies and humanitarian aid topics such as migration in third countries. The source of the data is mentioned in the maps.

This layer shows demographic context for emergency response efforts. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of households who do not have access to internet. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B01001, B08201, B09021, B16003, B16004, B17020, B18101, B25040, B25117, B27010, B28001, B28002 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

AFD's Primary Response Route map shows the roadways that are commonly used during AFD's responses to emergency incidents. The streets were selected to include major connectors throughout the city, as well as essential roads near the fire stations. This map is intended to be used by Austin Fire Department and Austin Transportation Department.

30 data sets extracted from OpenStreetMap that we use in the experiments in our article ''Automating the External Placement of Symbols for Point Features in Situation Maps for Emergency Responseief Forces".

Last update: January 18, 2024OverviewThis polygon data was created to represent fire response areas in Utah for the Next-Generation 911 system (NG911). It depicts the primary fire response agency for a given location in Utah and was compiled from a variety of data sources. The response areas represent career and volunteer fire departments at a variety of levels including local, municipal, county, state, and federal agencies, as well as a few private or industrial organizations. The data was built from computer-aided dispatch (CAD) data within the state, tax entities, municipal boundaries, county boundaries, land ownership, inputs from Utah Forestry, Fire, and State Lands (FFSL), and other datasets.Field DescriptionsMost of the fields are based on the National Emergency Number Association's (NENA) Standard for NG911 GIS Data Model. An additional Fire Department ID (FDID) field was added to assist with cost recovery and federal funding processes. The FDIDs were added to the data after the most recent lists from the Utah State Fire Marshal and US Fire Administration were cross-referenced and combined into a single list.More information can be found on the UGRC data page for this layer:https://gis.utah.gov/data/society/public-safety/

NOAA Environmental Response Mapping ToolThis online mapping tool integrates static and real-time data, including Environmental Sensitivity Index maps, ship locations, weather, and ocean currents, into an easy-to-use format. The tool helps emergency responders and environmental resource managers better understand incidents that may adversely impact the environment, including oil spills, chemical spills, and vessel groundings. The tool covers the entire U.S. coastline, providing local response, infrastructure, and environmental data that allow users to find resources at risk, evaluate response plans, perform Natural Resource Damage Assessments, and track restoration activities, all while maintaining data security.

Last update: 08/04/2023OverviewThis polygon data was created to represent Emergency Medical Service (EMS) response areas in Utah for the Next-Generation 911 system (NG911). It depicts the primary EMS response agency for a given location in Utah and was compiled from a variety of data sources. The response areas represent a variety of service levels (paramedic, advanced EMT, with or without transport capability, etc.), but generally include 911 scene response. The data was compiled using written descriptions from the licensing database of the Bureau of Emergency Medical Services and Preparedness (BEMSP), which is part of the Utah Department of Health and Human Services' (DHHS). In some instances, the BEMSP data was incomplete or the written descriptions were inaccurate, contradictory, ambiguous, or failed to close. To make the data more complete, computer-aided dispatch (CAD) data from within the state was used to resolve conflicts, fill in gaps, and improve completeness.Field DescriptionsMost of the fields are based on the National Emergency Number Association's (NENA) Standard for NG911 GIS Data Model.More information can be found on the UGRC data page for this layer:https://gis.utah.gov/data/society/public-safety/

Fit parameters of all neural response models to responses of voxels in each visual field map region of interest.

**NOTE: The Customer Outages and Outage Area layers were modified using AGOL assistant and the reference URL is not accurate.

For full FGDC metadata record, please click here.These data have been created to represent areas that are environmentally and economically sensitive to oil and hazardous material spills. These data were originally created and assembled by the NOAA Scientific Support Coordinator for US Coast Guard District Seven in circa 1992-1993 in cooperation with local Area Committees in accordance with regulations set forth by the National Response Plan of the Oil Pollution Act of 1990. They were provided to FWC-FWRI (Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute, (at that time known as the Florida Marine Research Institute) in the fall of 2003 as shapefiles (in geographic, decimal degrees, NAD 83 datum) and PDF maps for each of the US Coast Guard's Marine Safety Office Areas of Responsibility (Captain of the Port Zones for Miami (at that time consisting of both Sector Miami and Sector Key West), Tampa, Jacksonville, Savannah, Charleston, and Puerto Rico/US Virgin Islands). In the Fall & Winter of 2003, FWC-FWRI map-joined all of these shapefile data layers into a single contiguous layer, then converted the data into a Microsoft Access database for updating. In the Winter & Spring of 2003-2004 FWC-FWRI updated contact information and other attribute data to expand and improve upon the database so it could be used as a core business data layer for the Marine Resources Geographic Information System (MRGIS) library. Using various spatial coding functions, such as "assign data by location", additional attribute information has been added to the spatial database. Some examples are: The NOAA Nautical Chart the point can be found on, the USGS Quad the point can be found on, the Environmental Sensitivity Index map the point can be found on, the Latitude & Longitude in two data formats (Decimal Degrees and Degrees, Minutes, Seconds (with special characters for each unit), and others. These data were maintained as a part of the MRGIS Library and used with report generating software to update the information as needed for the creation of new printed "Oil Spill Sensitive Site" record documents for spill contingency planning and response purposes. In March of 2007, FWC-FWRI partnered with USCG Sector Mobile (part of USCG District 8) to catalog the oil spill sensitive areas within the Sector Mobile boundary, which includes the Panhandle of Florida, coastal Alabama, and coastal Mississippi. Work had previously been performed in a workshop environment to identify and catalog these areas, but NOT in a spatial manner. FWRI began this work by systematically geocoding the previously identified locations and entering the attribute information that was available into the same database structure that was in place for USCG District 7 (as mentioned above). The goal was to create a consistent dataset for the southeastern United States and Puerto Rico/US Virgin Islands. Once the basic geocoding was complete, a workshop was scheduled and key stakeholder agency representatives were invited to attend and review and augment this dataset for Sector Mobile. This workshop was at the end of March 2007 and working group members were recruited from the Area Committee and those key stakeholders recommended by the Area Committee. Through the years of 2008-2009, FWC-FWRI partnered with the US Coast Guard and Florida Department of Environmental Protection - Bureau of Emergency Response to conduct a series of workshops to review and update these detailed Geographic Response Plan (GRP) data and maps for revised Digital Area Contingency Plans. As with Sector Mobile, the GRP Revision workshop attendees were from or determined by the specific Area Committee of each Sector. Please see process steps for more information about the history of the data. The process of data entry is ongoing at FWRI as of July 2011. Data will be entered and undergo quality assurance/quality control processes before new data sheets and maps are re-produced for distribution and inclusion into Digital Area Contingency Plans and other GIS and/or map products. A versioned geodatabase has been created in SQL/SDE to track changes and manage data entry as well as digital QA/QC processes, such as consistency checks. A map service has also been created that is available to all the public and stakeholder community to view the latest version of this geodata. The map service displays data directly from the Enterprise versioned database. http://ocean.floridamarine.org/acpgrp/default.aspx These data are used in BOTH a spatial manner and in the traditional database manner. The spatial version is used to produce response maps and in a GIS (The Florida Marine Spill Analysis System and Digital Area Contingency Plans) to provide timely, accurate, and valuable information to responders and in the traditional database manner to populate reports used in producing area contingency plan maps and data sheets. Maps are produced (as PDF) with the sensitive area sites depicted on them, they are then "hyperlinked" in PDF to the data sheet that contains the attribute data for the site in a customized data report form. The report form contains information on key stakeholders for the area, wildlife resources to be protected, nearby staging areas, recommended protection strategies, the latitude/longitude of the site, and other response related information needed by first responders.

This dataset shows the boundaries of fire response plan areas and provides the recommended response type that corresponds to the official fire response plan for each area. Fire response types include:

full response modified response monitored response prescribed fire

The Forest Fire Info Map shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

Additional Documentation

Fire Response Plan Area - Data Description (PDF)

Fire Response Plan Area - Documentation (Word)

Status

Under development: data is currently in the process of being created Maintenance and Update Frequency

As needed: data is updated as deemed necessary

Contact
Darryl Pajunen, darryl.pajunen@ontario.ca

Data Layers:

• FQHC data collected from and GIS layer created by International Medical Corps staff
• NGO coordination data collected from partner NGOs and GIS layer created by International Medical Corps staff using barrios shapefile from the government of Puerto Rico.
• Administrative division base layers (Health Zone and Municipality) provided by FEMA and the government of Puerto Rico.

This entry does not contain data itself, it is for the website, the NASA Disasters Mapping Portal: https://maps.disasters.nasa.gov The Disasters Mapping Portal contains numerous datasets that can be streamed from the Portal into GIS software. The Disasters Applications area promotes the use of Earth observations to improve prediction of, preparation for, response to, and recovery from natural and technological disasters. Disaster applications and applied research on natural hazards support emergency mitigation approaches, such as early warning systems, and providing information and maps to disaster response and recovery teams. NOTE: Removed "2017 - Present" from "Temporal Applicability" since it's not valid NOTE: Removed "Event-Specific and Near-Real Time Products" from "Update Frequency" since it's not valid

EMS Emergency Service Boundaries define the geographic areas of EMS that have primary responsibilities for an emergency request.Data Download: https://ky.box.com/v/kymartian-911-rsb-ems

This map layer is a subset of the Columbus Points of Interest layer and shows facilities related to emergency response in the City of Columbus. Police and fire stations, as well as other facilities, are included. This layer is maintained through a cooperative effort by multiple departments of the City of Columbus using first-hand knowledge of the area as well as a variety of authoritative data sources. While significant effort is made to ensure the data is as accurate and comprehensive as possible, some points of interest may be excluded and included points may not be immediately updated as change occurs.

This dataset contains the seismic site-response zonation map for the Netherlands. The site-response (amplification) zonation map for the Netherlands is designed by transforming geological 3D grid cell models into five classes and an amplification factor (AF) is assigned to most of the classes. This site-response assessment, presented on a nationwide scale is important for a first identification of regions with increased seismic hazard potential, for example at locations with mining or geothermal energy activities. The site-response zonation map enables a prediction of site-response after a local earthquake as recommended in the following. It is very important to note that lithological information from geological voxel models is based on spatial interpolation and aimed at interpretations on regional scale. As a consequence, the presented site-response zonation map is also designed for regional interpretation, and not on individual grid cell scale. Furthermore, at locations with large subsurface heterogeneity, the interpretation should be handled with care. Additional local investigations measurements should be performed at sites of interest in order to assess the site-response in detail. For the map presented, the uncertainties to keep in mind are: first, the AF distribution along the classes, and secondly the uncertainty of the geological model used. The AF is designed to be added to an input seismic signal at a reference horizon with a shear-wave velocity of 500 m/s. This AF is class-dependent and covering only frequencies of 1-10 Hz. Furthermore, the AF does not reflect the maximum amplification that might occur within a smaller frequency band. Moreover, in the country's southern regions, a topographic effect may influence the site-response. It is important to mention that for now these areas are aggregated in Class V and require additional detailed site investigations for site-response assessment. The zonation map is based on digital geological models DGM, NL3D and GeoTOP (www.dinoloket.nl/subsurface-models) resampled to a regular grid (100m by 100m). The AF and associated uncertainty per class are available from the NetCDF metadata.