Author: Megan Banaski (mbanaski@esri.com) and Max Ozenberger (mozenberger@esri.com)Last Updated: 1/1/2024Intended Environment: WebPurpose:Exercise F6: Create a JS API 4.x WebMap App or Create a JS API 4.x WebScene App This lab is part of GitHub repository that contains short labs that step you through the process of developing a web application with ArcGIS API for JavaScript.The labs start from ground-zero and work through the accessing different aspects of the API and how to begin to build an application and add functionality.Requirements: Here are the resources you will use for the labs.ArcGIS for Developers - Account, Documentation, Samples, Apps, DownloadsEsri Open Source Projects - More source codeA simple guide for setting up a local web server (optional)Help with HTML, CSS, and JavaScript

The ArcGIS Javascript API lets developers build GIS web applications. The Javascript API is one of many that could be used but it's a great starting place. Students may also be interested in the Python API or others!

Lands Department of Hong Kong SAR has released Location Search API which is available in Hong Kong Geodata Store (https://geodata.gov.hk/gs/). This API is very useful to Esri Users in Hong Kong as it saves vast amount of time to carry out data conversion to support location searching. The API is HTTP-based for application developers to find any locations in Hong Kong by addresses, building names, place names or facility names.

This code sample contains sample HTML and JavaScript files. Users can follow This Guidelines to use the Location Search API with ArcGIS API for JavaScript to build web mapping applications with ArcGIS API for JavaScript.

Author: Megan Banaski (mbanaski@esri.com) and Max Ozenberger (mozenberger@esri.com)Last Updated: 1/1/2024Intended Environment: WebPurpose:Exercise E5: Style layer popup This lab is part of GitHub repository that contains short labs that step you through the process of developing a web application with ArcGIS API for JavaScript.The labs start from ground-zero and work through the accessing different aspects of the API and how to begin to build an application and add functionality.Requirements: Here are the resources you will use for the labs.ArcGIS for Developers - Account, Documentation, Samples, Apps, DownloadsEsri Open Source Projects - More source codeA simple guide for setting up a local web server (optional)Help with HTML, CSS, and JavaScript

Author: Megan Banaski (mbanaski@esri.com) and Max Ozenberger (mozenberger@esri.com)Last Updated: 1/1/2024Intended Environment: WebPurpose:Exercise L12: Query plus calculating stats or Query plus calculating stats in 3D This lab is part of GitHub repository that contains short labs that step you through the process of developing a web application with ArcGIS API for JavaScript.The labs start from ground-zero and work through the accessing different aspects of the API and how to begin to build an application and add functionality.Requirements: Here are the resources you will use for the labs.ArcGIS for Developers - Account, Documentation, Samples, Apps, DownloadsEsri Open Source Projects - More source codeA simple guide for setting up a local web server (optional)Help with HTML, CSS, and JavaScript

This web application highlights some of the capabilities for accessing Landsat imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Landsat images on a daily basis.

Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.

Quick access to the following band combinations and indices is provided:

• Agriculture : Highlights agriculture is bright green; Bands 6, 5, 2
• Natural Color : Sharpened with 15m panchromatic band; Bands 4, 3, 2 +8
• Color Infrared : Healthy vegetation is bright red; Bands 5, 4 ,3
• SWIR (Short Wave Infrared) : Highlights rock formations; Bands 7, 6, 4
• Geology : Highlights geologic features; Bands 7, 6, 2
• Bathymetric : Highlights underwater features; Bands 4, 3, 1
• Panchromatic : Panchromatic images at 15m; Band 8
• Vegetation Index : Normalized Difference Snow Index(NDVI); (Band 5 - Band 4)/(Band 5 + Band 4)
• Moisture Index : Normalized Difference Moisture Index (NDMI); (Band 5 - Band 6)/(Band 5 + Band 6)
• SAVI : Soil Adjusted Veg. Index); Offset + Scale*(1.5*(Band 5 - Band 4)/(Band 5 + Band 4 + 0.5))
• Water Index : Offset + Scale*(Band 3 - Band 6)/(Band 3 + Band 6)
• Burn Index : Offset + Scale*(Band 5 - Band 7)/(Band 5 + Band 7)
• Urban Index : Offset + Scale*(Band 5 - Band 6)/(Band 5 + Band 6)

The application is written using Web AppBuilder for ArcGIS accessing imagery layers using the ArcGIS API for JavaScript.

This map compares any two years' per capita income for counties in the U.S.Data downloaded from GeoFred application. GeoFred provides geographical economic data from the St. Louis Fed (the Federal Reserve Bank of St. Louis)Source: U.S. Bureau of Economic Analysis, Personal Income per capita, retrieved from FRED, Federal Reserve Bank of St. Louis

Mature Support Notice: This item is in mature support as of February 2024. A new version of this item is available for your use. This web application highlights some of the capabilities for accessing Landsat imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Landsat images on a daily basis. Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.Quick access to the following band combinations and indices is provided: Agriculture : Highlights agriculture in bright green; Bands 6, 5, 2Natural Color : Sharpened with 15m panchromatic band; Bands 4, 3, 2 +8Color Infrared : Healthy vegetation is bright red; Bands 5, 4 ,3 SWIR (Short Wave Infrared) : Highlights rock formations; Bands 7, 6, 4Geology : Highlights geologic features; Bands 7, 6, 2Bathymetric : Highlights underwater features; Bands 4, 3, 1Panchromatic : Panchromatic images at 15m; Band 8Vegetation Index : Normalized Difference Vegetation Index(NDVI); (Band 5 - Band 4)/(Band 5 + Band 4)Moisture Index : Normalized Difference Moisture Index (NDMI); (Band 5 - Band 6)/(Band 5 + Band 6)SAVI : Soil Adjusted Veg. Index); Offset + Scale*(1.5*(Band 5 - Band 4)/(Band 5 + Band 4 + 0.5))Water Index : Offset + Scale*(Band 3 - Band 6)/(Band 3 + Band 6)Burn Index : Offset + Scale*(Band 5 - Band 7)/(Band 5 + Band 7)Urban Index : Offset + Scale*(Band 5 - Band 6)/(Band 5 + Band 6)Optionally, you can also choose the "Custom Bands" or "Custom Index" option to create your own band combinations The Time tool enables access to a temporal time slider and a temporal profile of different indices for a selected point. The Time tool is only accessible at larger zoom scales. It provides temporal profiles for NDVI (Normalized Difference Vegetation Index), NDMI (Normalized Difference Moisture Index) and Urban Index. The Identify tool enables access to information on the images, and can also provide a spectral profile for a selected point. The Stories tool will direct you to pre-selected interesting locations. The application is written using Web AppBuilder for ArcGIS accessing imagery layers using ArcGIS API for JavaScript. The following Imagery Layers are being accessed : Multispectral Landsat - Provides access to 30m 8-band multispectral imagery and a range of functions that provide different band combinations and indices.Pansharpened Landsat - Provides access to 15m 4-band (Red, Green, Blue and NIR) panchromatic-sharpened imagery.Panchromatic Landsat - Provides access to 15m panchromatic imagery. These imagery layers can be accessed through the public group Landsat Community on ArcGIS Online.

This layer shows youth (age 16-19) school enrollment and employment status. This is shown by tract, county, and state centroids. 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. Estimates here for 'disconnected youth' differ from estimates of 'idle youth' on Census Bureau's website because idle youth includes those unemployed (actively looking for work). This layer is symbolized by the count of total youth and the percentage of youth who were disconnected. 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: 2012-2016ACS Table(s): B14005 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: October 16, 2018National Figures: American Fact FinderThe 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. 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 dataset is updated automatically when the most current vintage of ACS data is released each year. The service contains the ACS data as of the current vintage listed. Tabular data is updated annually with the Census Bureau's release schedule. This may alter data values, fields, and boundaries. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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., -555555...) have been set to null. 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. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for research and development. The application uses weighted overlay analysis within a multi-criteria decision analysis framework to rate the importance of factors when establishing geographic priorities for research and development.Datasets of crop distribution maps, agroecology maps, biotic and abiotic constraints to crop production, poverty maps and other demographic indicators are used as a key inputs to multi-objective criteria analysis.

This layer contains a record of each sale to a customer.

An ArcGIS Mobile style (stylx) file for use with ArcGIS Pro 2.9+ and ArcGIS Runtime 100.13+ to build custom applications that incorporate the MIL-STD-2525D symbol dictionary. This style supports a configuration for modeling locations as ordered anchor points or full geometries.Required Software:ArcGIS Pro 2.9 or higherArcGIS Runtime 100.13 or higherThe style can be published from ArcGIS Pro as a web style for use with the ArcGIS API for JavaScript 4.22 or higher.

This is a bathymetry-only view of the World Topographic Basemap. Sometimes you just need the bathymetry and don't want the not-thymetry. Where can you use it? Pretty much anywhere you might want a bathymetric layer. This vector tile layer can be used in an ArcGIS Online web map or scene, 2D or 3D ArcGIS Pro map, or any application using the ArcGIS API for Javascript. It's just like, a layer. If you are interested in learning how to isolate layers in vector basemaps yourself, here is a YouTube video with all the glorious details. The underlying data is untouched and unmoved, but his creates a custom "view" of the source basemap. Here it is all by itself in ArcGIS Online... ...and with an imagery basemap. Here it is in an ArcGIS Pro 3D map... Happy mapping, basemap surgeons! John Nelson

This file contains the digital vector boundaries for Nomenclature of Territorial Units for Statistics Level 1, in the United Kingdom, as at January 2018.

NUTS areas in England and Wales are unchanged but there are changes in Scotland (at NUTS2) and in Northern Ireland (NUTS3). In Scotland a fifth NUTS2 area has been created (Southern Scotland), while in Northen Ireland the new NUTS3 areas will now match the 11 local government districts.

• Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
  
• Full resolution - clipped to the coastline (Mean High Water mark);
  
• Generalised (20m) - clipped to the coastline (Mean High Water mark);
  
• Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
  
• Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).
  

Contains both Ordnance Survey and ONS Intellectual Property Rights.

Download File Sizes

• Full resolution - extent of the realm (30 MB)
• Full resolution - clipped to the coastline (34 MB)
• Generalised (20m) - clipped to the coastline (3 MB)
• Super generalised (200m) - clipped to the coastline (648 KB)
• Ultra generalised (500m) - clipped to the coastline (263 KB).

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireView

REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireFeatureDownload

REST URL of Feature Service (use these URLs in maps, where you can view pop-up information and change the styling) - https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/FeatureServer

This file contains the digital vector boundaries for Nomenclature of Territorial Units for Statistics Level 1, in the United Kingdom, as at January 2018.

NUTS areas in England and Wales are unchanged but there are changes in Scotland (at NUTS2) and in Northern Ireland (NUTS3). In Scotland a fifth NUTS2 area has been created (Southern Scotland), while in Northen Ireland the new NUTS3 areas will now match the 11 local government districts.

• Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
  
• Full resolution - clipped to the coastline (Mean High Water mark);
  
• Generalised (20m) - clipped to the coastline (Mean High Water mark);
  
• Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
  
• Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).
  

Contains both Ordnance Survey and ONS Intellectual Property Rights.

Download File Sizes

• Full resolution - extent of the realm (30 MB)
• Full resolution - clipped to the coastline (34 MB)
• Generalised (20m) - clipped to the coastline (3 MB)
• Super generalised (200m) - clipped to the coastline (648 KB)
• Ultra generalised (500m) - clipped to the coastline (263 KB).

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireView

REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireFeatureDownload

REST URL of Feature Service (use these URLs in maps, where you can view pop-up information and change the styling) - https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/FeatureServer

Based on the World Ocean Atlas' global ocean variable measurements we classified the oceanic water bodies into 37 volumetric regions, called ecological marine units. These volumetric region units can be used to support climate change impact studies, conservation priority setting, and marine spatial planning. Read more about how these regions were created in the research article A Three-Dimensional Mapping of the Ocean based on Environmental Data, which appeared in March 2017 in the Oceanography journal. This application visualizes ecological marine units using voxel scene layers. You can read more about voxel layers in the ArcGIS Pro documentation. This application was built using ArcGIS API for JavaScript (read more about web voxel layers). The original netCDF dataset can be found here. Related work:Ecological Marine Units Explorer - a web application that visualizes the ocean as a 3D grid.Esri's website on Ecological Marine Units. View code on esri-codehub.

A layer item maintained by a Live Feed routine that regularly computes the approximate location of the Sun, perpendicular to the planet, using the current UTC date and time. Watch as the Sun, Day/Night Terminator, and Horizon pass over your map, highlighting what areas are in dusk, darkness, and dawn. Terminator Polygons include a GeoEnriched attribute containing the approximate Total Population experiencing twilight or darkness. Originally inspired by Jim Blaney's JSAPI item, the data is maintained by a modified Python routine adapted from John Gravois' GitHub JSAPI "midnight-commander" project. Small corrections and enhancements provide the Sub-Solar Point (Sun's location on the planet), the Horizon line (mid-line of the Sun that meets the horizon), and the Twilight features showing dusk and dawn as the Sun reflects light in the atmosphere. Twilight, also known as Dawn and Dusk, is the visible reflective light in the atmosphere as the Sun dips below (Dusk) or approaches (Dawn) the Horizon. Three stages of Twilight are classified at 6 degree increments, producing various shades of darkness and vibrant colors.Civil Twilight is the first stage as the Sun moves below the Horizon (Dusk) or the last as the Sun approaches the Horizon (Dawn). Enough natural light exists for people to see without needing artificial light. Celestial objects are not yet visible. Nautical Twilight is the second stage. Artificial light is now helpful and Celestial objects can be seen with ease. Ships find it difficult to navigate by the Horizon. Astronomical Twilight is the last stage before darkness sets in. Only distant clouds are a glow on the Horizon with bright stars in full view. What can I do with this layer?A continually updated visual representation of this daily cycle provides an additional source of information for planners and decision makers that operate in an environment that is impacted by the day/night cycle. This may include logistics and fleet management, maritime, law enforcement, as well as other first responders who are engaged in search and rescue operations where daylight is critical to mission execution.Example item using Terminator to blend the Earth at Night tile image. Source:Calculation for the Position of the Sun (declination angle of the Sun)Alternate calculation for Equation of time (used to compute Sun's position)Reference details for Twilight Update Frequency:  Every 10 minutes (at 5, 15, 25, ...) using the Aggregated Live Feed Methodology Area Covered: The world Coordinate System: GCS_WGS_1984, wkid: 4326, with Latitude limited to ±87.5 degrees for maximum compatibility. Layers:Celestial Bodies: Point layer containing current location of the Sun as it is passes directly overhead, perpendicular to the planet.Horizon: Polyline layer containing the mid-line of the Sun as it sets in the horizon.Terminator: Polygon layer containing the 6 degree transitions from sunlight to civil, nautical, and astronomical Twilight (dawn and dusk) plus areas experiencing the dark of night. Also includes output from ArcGIS Online GeoEnrichment attribute field "KeyGlobalFacts.TOTPOP" containing the approximate Total Population covered by each Polygon. Sample: See animation of data mapped at midnight each day for one year. RevisionsJuly 30, 2025: Reduced Cache Control to 2 minutes down from 5 minutes. More frequent delivery for Map Layer refresh! This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

This layer contains a sample of inspection scores for selected HUD properties.Data is downloaded from the HUD web site.

The map shows the age, in years, from Sale Date to the date the map was generated (6/2/2016). The Sale Date field was used, and the map author chose June 2, 2016 as a fixed date upon which to determine how long ago in years the sale was made.

This map depicts simulated code violations in a city, with emphasis placed on violations that are significantly past due their required compliance date. Two fields are used from the data: complaint date (when the violation was recorded) and compliance date (when the violation was verified as fixed). Small circles were resolved within the required timeframe, while large circles remained out of compliance beyond the 30 day requirement. The color reflects how recently compliance was recorded. The map helps identify any geographic trends at work, as well as temporal trends.