Building a resource locator in ArcGIS Online (video).View this short demonstration on how to build a simple resource locator in ArcGIS Online. In this demonstration the presenter publishes an existing Web Map to the Local Perspective configurable application template. The resulting application includes the ability to locate and navigate to different health resources that would be critical in managing a surge of displaced people related to a significant event impacting public health._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...

OS Open Names is an OpenData dataset that includes place names, road names and numbers and postcode for Great Britain and includes 2.5 million locations. The OS Open Names locator allows geocoding and searching against postcodes, street names, road numbers and places all in a single locator.

For more information about the OS Open Names dataset visit the following link: https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-names.htmlData currency : January 2022

This layer shows the boundaries of properties owned or leased by the Columbus Recreation and Parks Department (CRPD). Types of properties include community parks, conservation/natural areas, golf courses, neighborhood parks, and others.

Geocode locators for the Fort Collins Area. Composite, three supporting locators and the supporting data in a zip file. Locators require ArcGIS to use.

This is an Esri geocoding web service based on the Montana Geographic Names Framework. It was published from a "POI Role" based locator constructed in ArcGIS Pro. The POI locator was built using a point feature class with data classified as "Montana" or "Official" for the primary location table. An alternate name table was constructed of names with a designation of "Alternate" or "BGN". ("BGN" designated names indicate contrast between "MT Names" and "Official" U.S. Board on Geographic Names. The name is the official name recognized by the Board on Geographic Names, but the State of Montana believes it is incorrect.) Output location properties are based on the following for the primary table: "Place Join ID " from MT GNIS "GNIS_ID" field, "Place Name" from MT GNIS "Name" field, "Category" classification from MT GNIS "Class" field, "County" (or subregion) from MT GNIS "County" field. Output location properties are based on the following for the alternate name table: "Join ID" from AltName "GNIS_ID" field, "Place Name" from AltName "Name" field. Geolocator was constructed with "Global High" precision type. The geocoding service can be used in ArcGIS or via the REST endpoint. More information on the Montana Geographic Names Framework: https://mslservices.mt.gov/Geographic_Information/Data/DataList/datalist_MetadataDetail.aspx?did={0c57ebe2-f8e8-4d55-b159-ab3202898956}

This map layer is a subset of the Columbus Points of Interest layer and shows education facilities in the City of Columbus. Daycares, elementary, middle, and high schools, colleges and universities, vocational schools, and other educational entities 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 an ESRI Geotiff with 3 meter cell size representing the bathymetry of selected portions of seafloor around Abrir La Sierra Bank in Puerto Rico, derived from data collected in 2007.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 4/14/07 to 4/24/07. Data was acquired with a Reson 8124 (200 kHz) multibeam echosounder and with a hull-mounted Kongsberg Simrad EM 1002 (95 kHz) multibeam echosounder. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9.x using an XYZ to raster tool and converted to ESRI GeoTiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 3 meter cell size representing the bathymetry of selected portions of seafloor around Isla De Mona in Puerto Rico, derived from data collected in 2007.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 4/14/07 to 4/24/07. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 (95 kHz) multibeam echosounder. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9.x using an XYZ to raster tool and saved as an ESRI Geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

Responding to the coronavirus disease 2019 (COVID-19) pandemic requires real-time learning and collaborative work. This necessary collaboration spans across industries and sectors, calling us to come together to help however we can. At Esri, in collaboration with our business partners and user community, we launched the Esri COVID-19 Resources and GIS Hub, featuring a collection of datasets, applications, and other useful content for planning and response._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...

Click anywhere on earth to see how the water balance is changing over time. This app is based on data from GLDAS version 2.1, which uses weather observations like temperature, humidity, and rainfall to run the Noah land surface model. This model estimates how much of the rain becomes runoff, how much evaporates, and how much infiltrates into the soil. These output variables, calculated every three hours, are aggregated into monthly averages, giving us a record of the hydrologic cycle going all the way back to January 2000. Because the model is run with 0.25 degree spatial resolution (~30 km), these data should only be used for regional analysis. A specific farm or other small area might experience very different conditions than the region around it, especially because human influences like irrigation are not included.This app can also be seen as a useful template for sharing other climate datasets. If you would like to customize it for your own organization, or use it as a starting point for your own scientific application, the source code is available on github for anyone to use.

This dataset contains an ESRI Geotiff with 3 meter cell size representing the bathymetry of selected portions of seafloor around Bajo De Cico in Puerto Rico, derived from data collected in 2007.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 4/14/07...

Measurements of surface air and ocean temperature are compiled from around the world each month by NOAA’s National Centers for Environmental Information and are analyzed and compared to the 1971-2000 average temperature for each location. The resulting temperature anomaly (or difference from the average) is shown in this feature service, which includes an archive going back to 1880. The mean of the 12 months each year is displayed here. Each annual update is available around the 15th of the following January (e.g., 2020 is available Jan 15th, 2021). The NOAAGlobalTemp dataset is the official U.S. long-term record of global temperature data and is often used to show trends in temperature change around the world. It combines thousands of land-based station measurements from the Global Historical Climatology Network (GHCN) along with surface ocean temperature from the Extended Reconstructed Sea Surface Temperature (ERSST) analysis. These two datasets are merged into a 5-degree resolution product. A report summary report by NOAA NCEI is available here. GHCN monthly mean station averages for temperature and precipitation for the 1981-2010 period are also available in Living Atlas here.What can you do with this layer? Visualization: This layer can be used to plot areas where temperature was higher or lower than the historical average for each year since 1880. Be sure to configure the time settings in your web map to view the timeseries correctly. Analysis: This layer can be used as an input to a variety of geoprocessing tools, such as Space Time Cubes and other trend analyses. For a more detailed temporal analysis, a monthly mean is available here.

This download is outdated and has temporarily been removed - please contact the GIS department for updated locators (https://www.fcgov.com/gis/contact-us).

ArcGIS locators for the Fort Collins Area in a locator package file (.gcpk). Composite and three supporting locators in a zip file.

This requires ArcGIS to use.

The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the coastal zone vertically from -12 meters (m) to 10 m above mean high water (MHW). Results are produced at a horizontal resolution of 30 meters for four decades (the 2020s, 2030s, 2050s and 2080s). Adjusted elevations and their respective probabilities are generated using regional geospatial datasets of current sea-level forecasts, vertical land movement rates, and current elevation data. Coastal response type predictions incorporate adjusted elevation predictions with land cover data and expert knowledge to determine the likelihood that an area will be able to accommodate or adapt to water level increases and maintain its initial land class state or transition to a new non-submerged state (dynamic) or become submerged (static). Intended users of these data include scientific researchers, coastal planners, and natural resource management communities.

Thinking Spatially Using GIS

Thinking Spatially Using GIS is a 1:1 set of instructional materials for students that use ArcGIS Online to teach basic geography concepts found in upper elementary school and above.
Each module has both a teacher and student file.

After Christopher Columbus found the New World in 1492, Spain and Portugal were eager to conquer and claim new lands. The two world powers decided to divide the world in half by drawing a line that ran through the Atlantic Ocean. Based on this line, Spain could claim new lands in the western half of the world, and Portugal could claim lands in the eastern half.

The Thinking Spatially Using GIS home is at: http://esriurl.com/TSG

All Esri GeoInquiries can be found at http://www.esri.com/geoinquiries

CAMS Locator is a composite locator that involves CAMS POINTS, CAMS STREETS as the reference data.

This ArcGIS Instant App leverages the nearby functionality with the Medi-Cal Assisted Living Waiver - Care Coordination Facility Listing to enable members of the public to find providers or services near a specific location.

The Woods Hole Oceanographic Institution has built the Martha's Vineyard Coastal Observatory (MVCO) near South Beach in Edgartown, Massachusetts. The project was initiated by scientists in the Coastal and Ocean Fluid Dynamics Laboratory (COFDL) at WHOI, who will use the observatory to study coastal atmospheric and oceanic processes. Specifically, the observatory is expected to: * Provide a local climatology for intensive, short duration field campaigns. * Further facilitate regional studies of coastal processes by providing infrastructure that supports easy access to electrical power and data. * Provide a reliable system of rugged sensors that allow opportunistic sampling of extreme events. * Provide continuous long term (25-30 years) observations for climate studies. * Provide a flexible system capable of supporting a wide range of instrumentation and platforms, such as AUV docking stations. * Provide a means for public outreach and educational programs. * Contribute to a larger network of observatories and platforms for real-time observations that can help verify and improve ocean and atmospheric models. The MVCO includes a small shore lab located between the hangars at Katama Air Park, a 10-m meteorological mast near the South Beach Donnelly House, a subsurface node mounted in 12-m water depth approximately 1.5 km south of Edgartown Great Pond, and an air-sea interaction tower (ASIT) equipped with a top-side node to allow access to air-side or underwater instrumentation at the 15-m isobath. The meteorological and subsea instrumentation are connected directly to the shore lab via a buried electro-optic power cable. The core set of instruments at the meteorological mast measure wind speed and direction, temperature, humidity, precipitation, CO2, solar and IR radiation, momentum, heat, and moisture fluxes. The core oceanographic sensors at the 12-m offshore node measure current profiles, waves, temperature, salinity, and near-bottom wave-orbital and low frequency currents. In addition to the core set of instruments, the offshore nodes and the meteorological mast act as extension cords into the coastal environment, allowing connection of a wide range of instruments for prolonged deployments. (Reference: http://www.whoi.edu/mvco/description/description2.html)

The Neighborhoods page offers infant mortality profiles for high priority neighborhoods.

High Priority Neighborhoods:

To make the most significant impact, CelebrateOne is working where the infant mortality rates are highest. CelebrateOne is working intensely in high priority areas, including the Hilltop, Linden, Franklinton, South Side, Near East, Southeast, Northeast and the Northland areas. The work of CelebrateOne will give everyone in central Ohio a chance to live a healthy life, and will help us celebrate more first birthdays in our community.

Neighborhoods page contents:

Franklinton

Hilltop

Linden

Near East

Northeast

Northland

Southeast

Southside

The Zip Code Factor

Resources For Pregnant Women And New Parents

Additional Resources

Navigating The CelebrateOne Website

E-Mailing List Sign Up

CelebrateOne 2017 Annual Report

Laatste update: 07 december 2023Een locator kan helpen om een specifieke locatie op de kaart te vinden, of om een tabel met adressen of plaatsen om te zetten naar punten op de kaart. Het kan gebruikt worden in meerdere onderdelen van het ArcGIS-platform. Een locator bevat de referentiedata die gebruikt wordt om te geocoderen, en daarnaast ook indices, regels, configuratie en regionale kennis over de weergave van adressen. Daarom kan een locator een beter zoekresultaat geven dan een eenvoudige database query.Een locator kan worden gemaakt binnen ArcGIS Pro (zie Create a locator—ArcGIS Pro | Documentation) en lokaal worden gebruikt. Het voordeel van het ArcGIS-platform is dat een locator ook op eenvoudige wijze kan worden gedeeld binnen de organisatie of met het publiek. Een locator kan gedeeld worden als een service in ArcGIS Enterprise. De locator kan up to date gehouden worden, zonder dat de eindgebruiker hinder ondervindt van eventuele updates.