This Guide is designed to assist you with using ArcGIS Online (AGOL)'s Map Viewer.An ArcGIS web map is an interactive display of geographic information. Web maps are made by adding and combining layers. The layers are made from data, they are logical collections of geographic data.Map Viewer can be used to view, explore and create web maps in ArcGIS Online.

World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources: Worldwide 15-m resolution TerraColor imagery at small and medium map scales.Maxar imagery basemap products around the world: Vivid Premium at 15-cm HD resolution for select metropolitan areas, Vivid Advanced 30-cm HD for more than 1,000 metropolitan areas, and Vivid Standard from 1.2-m to 0.6-cm resolution for the most of the world, with 30-cm HD across the United States and parts of Western Europe. More information on the Maxar products is included below. High-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 30-cm to 3-cm resolution. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. Maxar Basemap ProductsVivid PremiumProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.Vivid AdvancedProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.Vivid StandardProvides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD. More on Maxar HD. Imagery UpdatesYou can use the Updates Mode in the World Imagery Wayback app to learn more about recent and pending updates. Accessing this information requires a user login with an ArcGIS organizational account. CitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map.FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

This map features a set of live feature layers of OpenStreetMap (OSM) data for North America. The layers are updated every few minutes with the latest OSM data. The map contains bookmarks for several large cities in North America that you can browse, but you can explore any part of Canada, Greenland, Mexico, or the United States to see the OSM data in each layer.The feature layers in this map provide access to OSM data that is updated continuously by OSM contributors. The layers in this map are hosted feature layer views. The feature layer views each reference a hosted feature layer of OSM data (point, line, or polygon) in ArcGIS Online, which are updated with minutely diffs from the OSM planet file. The feature layers represent different types of features (e.g. buildings, highways, amenities) that are defined as a query against one of the hosted feature layers.These layers are intended for visualization, analysis, and (eventually) export of the OSM data. Users can click on the features to get 'popup' info about a feature based on tags that have been applied by OSM contributors. Users can also change the symbology of features, or filter features by attributes, to highlight specific types of features (e.g. schools or hospitals).The layers have an automatic refresh interval of varying lengths so they will display new features, or update existing features, in the map as edits are made by other OSM contributors and refreshed in the layer cache. The layers have cache control settings ranging between 1 and 15 minutes, depending on update frequency, in order to optimize display performance and scalability.You can edit the OSM data through the OpenStreetMap Web site or other OSM editors such as RapiD. The layer popups include links to view or edit individual features in the OpenStreetMap Web site. You can access these and other feature layers through the OpenStreetMap Layers group in the OpenStreetMap site maintained by Esri in ArcGIS Online.

GEBCO is a global terrain model for ocean and land providing elevation data in meters on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2021 Grid is based. More Info.What can you do with this layer?Determine spot elevations and depths by clicking on the map and viewing the pop-up.Use in analysis within ArcGIS Online or ArcGIS Pro to enrich points, lines, or polygons with associated elevation data. This can be achieved by using the “Sample” tool in ArcGIS Pro or ArcGIS Online.Use for visualization of seafloor features.Layers associated with the GEBCO 2021 product:GEBCO Type Identifier 2021GEBCO Depth Zones 2021GEBCO 500m Contours 2021GEBCO Shaded Relief 2021GEBCO Bathymetry 2021Each of the layers can be found in this Web Map.

San Benito County Addresses

The final aim for this practical is to create a 3D model to visualise how a flood depth of 1m might impact buildings within flood alert areas in Shrewsbury, including a potential new building we are going to create a simple 3D model for. By the end of the exercises in this practical you should be able to use Arc Online Apps to create a 3D model that looks like this -The learning objectives for making this model are as follows:Be able to open and navigate in the Map ViewerBe able to find and add suitable data into Map ViewerBe able to create datasets that allow you to perform visual analysis to understand why areas may have been identified as flood risk areasBe able to build a query to identify and extract building data for buildings within the Flood Alert AreaBe able to create a model to represent a potential new buildingBe able to use Scene Viewer to put this all together in a 3D model that allows you visualise this data

Pedestrian and Other Transportation in Dunwoody. Includes MARTA Ridership from 8/2016 to 12/2016

The final aim for this practical is to create a 3D model to visualise how a flood depth of 1m might impact buildings within areas at risk from a 1 in 200 year flood event in Fife. These areas are defined by The Scottish Environment Protection Agency (SEPA) as medium flood risk areas. By the end of the exercises in this practical you should be able to use Arc Online Apps to create a 3D model that looks like this and highlights the buildings within the medium flood risk areas -The learning objectives for making this model are as follows:Be able to open and navigate in the Map ViewerBe able to find and add suitable data into Map ViewerBe able to create datasets that allow you to perform visual analysis to understand why areas may have been identified as flood risk areasBe able to build a query to identify and extract building data for buildings within the medium flood risk areasBe able to use Scene Viewer to put this all together in a 3D model that allows you visualise this data

This dynamic image service provides numeric values representing ground surface heights, based on a digital terrain model (DTM). The ground heights are based on multiple sources. Heights are orthometric (sea level = 0), and water bodies that are above sea level have approximated nominal water heights.Data Sources: The data for this layer comes from the multiple sources listed below, with original source data in its native coordinate system. Depending on the scale being viewed; data from one of these datasets will be returned: Source DataSource Native Pixel SizeApproximate Pixel Size (m)Primary SourcesEngland 2m2 meters2Environment AgencyWales 2m2 meters2Natural Resources WalesNetherlands 3m3 meters3RijkswaterstaatAustria 10m10 meters10GeolandDenmark 3m3.2 meters3GeodatastyrelsenDenmark 10m10 meters10GeodatastyrelsenFinland 3m3 meters3NLSFinland 10m10 meters10NLSNorway 10m10 meters10NMAOS Terrain 5050 meters50Ordnance SurveyFEMA LiDAR DTM3 meters3FEMANED 1/9 arc second0.000030864197530866 degrees3USGSNED 1/3 arc second0.000092592592593 degrees10USGSNED 1 arc second0.0002777777777779 degrees31USGSNED 2 arc second0.000555555555556 degrees62USGSSRTM 1 arc second0.0002777777777779 degrees31NASASRTM 1 arc second DEM-S0.0002777777777779 degrees31Geoscience AustraliaSRTM v4.10.00083333333333333 degrees93CGIAR-CSIEarthEnv-DEM900.00083333333333333 degrees93N Robinson,NCEASGMTED2010 7.5 arc second0.00208333333333333 degrees232USGSGMTED2010 15 arc second0.00416666666666666 degrees464USGSGMTED2010 30 arc second0.0083333333333333 degrees928USGSData Coverage: To see the coverage of various datasets comprising this service, click here.Accuracy: The accuracy of these services will vary as a function of location and data source. Please refer to the metadata available in the services, and follow the links to the original sources for further details. An estimate of CE90 and LE90 are included as attributes.For more information on this service, including the terms of use, visit us online.

A 30KM hexagonal net was cast over the Untied States, aggregating all instances of drought within each zone. At broader scales, a bi-variate set of points shows proportional time spent in drought, while color characterizes the cumulative intensity of that drought. At finer scales, the point symbols are replaced with direct labels of drought proportion.Source historic drought data: http://droughtmonitor.unl.edu/Derived hexagonal aggregation feature service: http://nation.maps.arcgis.com/home/item.html?id=07041e4b5d9943bca5c06c6e125cda59This web map is used as an interactive component of this Cascade story map: https://nation.maps.arcgis.com/apps/Cascade/index.html?appid=a9d345446d1a48a2918ff95b51f5841c

The NOAA ENC Online map service provides a continuous depiction of all NOAA ENC® coverage over U.S. coastal waters and the Great Lakes as would be shown on Electronic Chart Display and Information Systems (ECDIS). U.S. Chart No. 1 provides information about the symbology used in ECDIS. This service provides features that can be leveraged in various GIS and OGC WMS compliant applications. Generic featuresDisplays the S-57 datasets using S-52 presentation library specification edition 3.4.Provides indexing for the S-57 attribute Object Name (OBJNAM)Provides access to S-57 attribute informationLinks external files to S-57 attributesAllows for the best scale data to be displayed similar to how an ECDIS displays best scale data based on the map scale as a user zooms in and out of the display.For more information about Esri technology, email maritime@esri.com.

Explore the historical Whois records related to the-arc.online (Domain). Get insights into ownership history and changes over time.

TRIMARC (Traffic Response and Incident Management Assisting the River City) camera locations in Louisville Metro Kentucky. This feature layer was created from a TRIMARC JSON files of camera locations. This item includes description, direction, and videos links and is used in the Louisville Metro Snow Map. The cameras are used to monitor the roadways and verify incidents to assist in freeway and incident management This feature is a static extract and will be reviewed before each snow season for updates. For more information on this feature layer and it's use please contact Louisville Metro GIS or LOJIC. To learn more about TRIMARC please visit the following website http://www.trimarc.org.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show populations with computer and internet access by ARC 20 County in the Atlanta region.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

Total area within the tract (in acres)

SqMi

Total area within the tract (in square miles)

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

TotalHH_e

# Total households, 2017

TotalHH_m

# Total households, 2017 (MOE)

WithAComputer_e

# Households with a computer, 2017

WithAComputer_m

# Households with a computer, 2017 (MOE)

pWithAComputer_e

% Households with a computer, 2017

pWithAComputer_m

% Households with a computer, 2017 (MOE)

WithBroadband_e

# Households with broadband Internet, 2017

WithBroadband_m

# Households with broadband Internet, 2017 (MOE)

pWithBroadband_e

% Households with broadband Internet, 2017

pWithBroadband_m

% Households with broadband Internet, 2017 (MOE)

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.

The Seattle Police Department has different iterations of police beats as the city's needs evolved. This layer represents what the beats looked like from 2017 to present. This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.

This layer was developed for the 2024 Atlanta Region Freight Mobility Plan (2024 ARFMP) and published by the Atlanta Regional Commission (ARC).The 2024 ARC Freight Dashboard serves as a tool to help explain how and where freight moves. This dashboard consolidates data collected for the 2024 Atlanta Regional Freight Mobility Plan .The following list describes the layers included in the ARC Freight Dashboard: Asthma Rates (Asthma_Rates): Current asthma among adults aged 18+ (percentile). Source: U.S. Council on Environmental Quality, Climate and Economic Justice Screening Tool (CEJST).Atlanta Airport (Atlanta_Airport): Hartsfield-Jackson Atlanta International Airport.Environmental Justice Score (EJ_Score): Formerly Equitable Target Areas (ETA); considers racial/ethnic minority and low-income status as indicators of potential inequality.Freight Clusters (_20240322_2024_ARC_Freight_Cluster_Areas): Freight clusters designated by ARC for the 2024 ARFMP.GA_net: Expressways and Regional Truck Routes.Georgia: State of Georgia.County Boundaries (County Boundary): Atlanta region county boundaries.MPO Planning Area (MPO_Planning_Area): Atlanta metropolitan planning area.MPO Planning Area Border (MPO_Planning_Area_Border): Atlanta metropolitan planning area boundary.National Highway Freight Network (NHFN): Federally designated highways critical to U.S. freight movement (PHFS, other Interstates, critical rural/urban corridors, connectors).North_American_Rail_Network_Lines: Rail lines in North America with attribute data. Data from the National Transportation Atlas Database.Rail Yards (Rail_yards): Rail yards in the Atlanta region, symbolized by yard type.Rail_Net_Clip: Rail lines in Georgia.Rail_OutsideMPO (Rail_OutsideMPO): Railroads outside the metropolitan planning area boundary.Regional Truck Routes (Regional_Truck_Routes): ARC-designated network of freight-critical roadways balancing efficiency, mobility, and community impacts.US Counties (County_Boundary): U.S. Counties from 2023 U.S. Census TIGER/Line files.US Water (US_Water): Waterbodies. For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.org .

Uniform-hazard ground motion maps and their underlying GIS data were prepared for PGA and horizontal spectral accelerations at 0.2, 1.0, and 5.0 second period, with a probability of exceedance of 2%, 5% and 10% in 50 years, for NEHRP soil site classes B/C and D (VS30 equal to 760 and 260 m/s, respectively).Full dataset can be downloaded from: 04. Uniform-hazard ground motion maps for the conterminous U.S., Alaska, and Hawaii - ScienceBase-Catalog

Right of Way maintenance check log

Uniform-hazard ground motion maps and their underlying GIS data were prepared for PGA and horizontal spectral accelerations at 0.2, 1.0, and 5.0 second period, with a probability of exceedance of 2%, 5% and 10% in 50 years, for NEHRP soil site classes B/C and D (VS30 equal to 760 and 260 m/s, respectively).Full dataset can be downloaded from: 04. Uniform-hazard ground motion maps for the conterminous U.S., Alaska, and Hawaii - ScienceBase-Catalog

Read more here: SSURGO On-Demand ArcProThe purpose of these tools are to give users the ability to get Soil Survey Geographic Database (SSURGO) properties and interpretations in an efficient manner. They are very similiar to the United States Department of Agriculture - Natural Resource Conservation Service's Soil Data Viewer (SDV) application, although there are distinct differences. The most important difference is the data collected with the SSURGO On-Demand (SOD) tools are collected in real-time via web requests to Soil Data Access (https://sdmdataaccess.nrcs.usda.gov/). This means that the information collected is the most up-to-date possible. SOD tools do not require users to have the data found in a traditional SSURGO download from the NRCS's official repository, Web Soil Survey (https://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm). The main intent of both SOD and SDV are to hide the complex relationships of the SSURGO tables and allow the users to focus on asking the question they need to get the information they want. This is accomplished in the user interface of the tools and the subsequent SQL is built and executed for the user. Currently, the tools packaged here are designed to run within the ESRI ArcGIS Pro software and developed under version 2.8.3.NOTE: The queries in these tools only consider the major components of soil map units.There are currently 2 tools in this package, 1 for SSURGO properties and the other for SSURGO interpretations. Both tools require the user to provide a feature layer based upon a WGS84, NAD83, or NAD83(2011) geographic coordinate system. This feature layer determines the area of interest for which both SSURGO geometry and either property or interpretation are collected. The feature layer must have a selection. Even if there is only 1 feature in the layer, it must be selected. The output workspace is required to be a file geodatabase (gdb). The geometry collected is in WGS84 (4326). Each property or interpretations requested will output an individual table. Users have the option of updating the spatial attribute table with each property or interpretation requested.It is very important to consider that Soil Data Access is limited in the number characters it can return. Due to this, there is an unknown constraint on how large an AOI can be requested because the characters (coordinates/vertices) can reach this threshold fairly quickly. This is locally dependent on polygon (mapping) density and vertex density. When this threshold is exceeded Soil Data Access returns nothing which will cause SSURGO On-Demand tools to exit.