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!

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

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 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

Imagine that you have been asked to update your organization's web pages. The web pages that you must update were built using a combination of Hypertext Markup Language (HTML), cascading style sheets (CSS), and JavaScript. You have never coded a web page, let alone even know what the acronym HTML stands for. The question of how to start the task begins to overwhelm you. This web course is designed to help you understand the basics of HTML, learn how to apply CSS to a web page, and get you started coding JavaScript.After completing this course, you will be able to perform the following tasks:Differentiate between HTML, CSS, and JavaScript.Recognize code type within a web map application handled in questions for understanding.Given code, alter the position and style of components within a web map app.

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 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).

https://cdn.arcgis.com/cdn/20886/js/jsapi/dojo/resources/blank.gif" />

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

Continuously updated US flooding information from the National Weather Service shows observed flooding locations, current & forecast precipitation, and flood warning areas. The stream gauges and weather watches layers allow you to identify features to get specific information such as flooding height, weather related issue, and severity. For a map that focuses on more general weather reports and current radar, see our Severe Weather Map.

About the data:

Stream gauges with flooding: This is an aggregated live feed derived from the NOAA/USGS Stream Gauges site using the National Weather Service’s River Observation data.

Flood Warnings (short and long term): This is an aggregated live feed derived from the NOAA Weather Warnings Watches and Advisory data provided through the Common Alerting Protocol (CAP) Alert system.

72-hour Forecast Total Precipitation: The data displaying forecast precipitation for the next 72 hours is Quantitative Precipitation Forecast (QPF). QPF is the amount of expected rainfall (in hundredths of inches) every six hours. This data is recorded by NDFD at 0000, 0600, 1200 and 1800. Organization: NDFD (National Digital Forecast Database)

Radar: Provided by AccuWeather, Inc.. For more information on the predictive services AccuWeather provides visit the ArcGIS Marketplace.

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).

https://cdn.arcgis.com/cdn/20886/js/jsapi/dojo/resources/blank.gif" />

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 dataset contains air quality data between the years 2000 and 2018 for 32000 ZIP codes. It was used by Harvard and Esri researchers in a study about air quality and its disparities across the United States. The research shows that air quality has generally improved across the US since 2000. But it has not improved equally for everyone - namely Black, Asian, Latinx, and low-income populations.Link: https://github.com/xiaodan-zhou/pm25_and_disparityPaper: https://www.esri.com/arcgis-blog/products/js-api-arcgis/mapping/air-quality-disparities-among-ethnic-groups-and-income-level/You can find the shapefile boundary in this our data hub: https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/USCSSI::u-s-5-digit-zip-code-tabulation-areas-zcta5-boundary/explore

Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

This tool takes the state of a web application (for example, included services, layer visibility settings, and client-side graphics) and returns a printable page layout or basic map of the specified area of interest., The input for Export Web Map is a piece of text in JavaScript object notation (JSON) format describing the layers, graphics, and other settings in the web map. The JSON must be structured according to the ExportWebMap specification in the ArcGIS Help., This tool is shipped with ArcGIS Server to support web services for printing, including the preconfigured service named PrintingTools. The ArcGIS web APIs for JavaScript, Flex and Silverlight use the PrintingTools service to generate images for simple map printing.

This service contains population density polygons, country boundaries, and city locations for the world. The map is color coded based on the number of persons per square mile (per every 1.609 kilometers square). Population data sources included national population censuses, the United Nations demographic yearbooks, and others. In general, data currency ranged from 1981 to 1994. This is a sample service hosted by ESRI, powered by ArcGIS Server. ESRI has provided this example so that you may practice using ArcGIS APIs for JavaScript, Flex, and Silverlight. ESRI reserves the right to change or remove this service at any time and without notice.

Satellite imagery and Normalized Burn Ratio (NBR) analysis of Kangaroo Island, Australia before and after the historic wildfires of summer 2019-2020. Satellite imagery by Landsat 8/9.Data source: Landsat 8/9 acquired via USGS EarthExplorer. All data analysis, application back-end and UI original works by Travis Zalesky. Application coded in esri.js Javascript api.

Attachment regarding a Legislative public hearing request by the Chatham County Board of Commissioners to consider an amendment to the Chatham County Comprehensive Plan.

Feature layer of BicyclePA Routes for use with PennDOT's PennShare and OpenData applicationsBicyclePA routes were designed by experienced bicyclists to provide those who wish to traverse the state by bicycle with a guide to some of the Commonwealth’s highways and rail-trails. Some of these routes contain bike lanes or other facilities designed specifically for bicyclists traveling within the four corners of the Commonwealth. Every bicyclist is responsible for his or her personal safety and welfare and for remaining alert and mindful of conditions on the roads or trails. There are 10 designated BicyclePA routes- A, E, G, J, JS, L, S, V, Y, and Z. A: BicyclePA Route A runs north/south from Presque Isle State Park on Lake Erie to the West Virginia border just north of Morgantown in Greene County. E: BicyclePA Route E runs north/south from the New Jersey border along the Delaware River in Morrisville, PA to the Delaware border in Marcus Hook, PA. G: BicyclePA Route G runs north/south from the New York border in Lawrenceville, Tioga County to the Maryland border in Bedford County. J: BicyclePA Route J runs north/south from the New York border in Sayre, Bradford County to the Maryland border in two places: New Freedom, York County and south of Gettysburg in Adams County. JS: BicyclePA Route JS runs east/west between Seven Valleys in York County and Gettysburg in Adams County. L: BicyclePA Route L runs north/south from the New York border south of Binghamton in Susquehanna County to the Delaware border north of Wilmington in Chester County. S: BicyclePA Route S runs east/west from the New Jersey border at the Washington Crossing Military Park on the Delaware River in Bucks County to the West Virginia border east of Wheeling in Washington County. V: BicyclePA Route V runs east/west from the New Jersey border in Portland (Northampton County) to the Ohio border in Lawrence County, roughly parallel with Interstate 80. Y: BicyclePA Route Y runs east/west from the New York border in Pike County to the Ohio border in Crawford County. Z: BicyclePA Route Z runs east/west along the shore of Lake Erie from the New York border to the Ohio border in Erie County. Send your bicycle/pedestrian questions to ra-pdbikepedpa@pa.gov For contact information for your local bike/ped coordinator, please visit the Bike/Ped Coordinators Contact Info Web Page To view the Pennsylvania Bicycle Driver’s Manual, click here.

More Metadata"Structure" is one of four layers which collectively describe the subsurface geologic formation, structural geology and surficial deposits. "Structure" is the point file of geologic strike and dip as determined from outcrops. The geology of Loudoun County, Virginia, was mapped in 1988 through 1991 under a cooperative agreement between the U.S. Geological Survey (USGS) and the Loudoun County Department of Environmental Resources. This geologic map was compiled in 1993 from a series of detailed published and unpublished field investigations at scales of 1:12,000 and 1:24,000. Some of these same data were compiled as a digital geologic map at 1:100,000 scale (Burton and others, 1992a) and were the basis for a cost-benefit analysis of the societal value of geologic maps (Bernknopf and others, 1993). The data was later revised and published by USGS in the Open File Report, MAP OF-99-150, GEOLOGIC MAP OF LOUDOUN COUNTY, VIRGINIA By Scott Southworth, W.C. Burton, J.S. Schindler, and A.J. Froelich1 with contributions on the geology of the Piedmont province by A.A. Drake, Jr., and R.E. Weems and an aeromagnetic survey by D.L. Daniels, W.F. Hanna, and R.E. Bracken.

More Metadata"Bedrock" is one of four layers which collectively describe the subsurface geologic formation, structural geology and surficial deposits. "Bedrock" is the subsurface expression of the geologic formations near the ground surface as mapped by outcrops and well borings. The geology of Loudoun County, Virginia, was mapped in 1988 through 1991 under a cooperative agreement between the U.S. Geological Survey (USGS) and the Loudoun County Department of Environmental Resources. This geologic map was compiled in 1993 from a series of detailed published and unpublished field investigations at scales of 1:12,000 and 1:24,000. Some of these same data were compiled as a digital geologic map at 1:100,000 scale (Burton and others, 1992a) and were the basis for a cost-benefit analysis of the societal value of geologic maps (Bernknopf and others, 1993). The data was later revised and published by USGS in the Open File Report, MAP OF-99-150, GEOLOGIC MAP OF LOUDOUN COUNTY, VIRGINIA By Scott Southworth, W.C. Burton, J.S. Schindler, and A.J. Froelich1 with contributions on the geology of the Piedmont province by A.A. Drake, Jr., and R.E. Weems and an aeromagnetic survey by D.L. Daniels, W.F. Hanna, and R.E. Bracken.

More Metadata"Surficial" is one of four layers which collectively describe the subsurface geologic formation, structural geology and surficial deposits. "Surficial" is the mapping overlying surficial deposits, or the surface deposits covering bedrock layers. The Geology of Loudoun County, Virginia, was mapped in 1988 through 1991 under a cooperative agreement between the U.S. Geological Survey (USGS) and the Loudoun County Department of Environmental Resources. This geologic map was compiled in 1993 from a series of detailed published and unpublished field investigations at scales of 1:12,000 and 1:24,000. Some of these same data were compiled as a digital geologic map at 1:100,000 scale (Burton and others, 1992a) and were the basis for a cost-benefit analysis of the societal value of geologic maps (Bernknopf and others, 1993). The data was later revised and published by USGS in the Open File Report, MAP OF-99-150, GEOLOGIC MAP OF LOUDOUN COUNTY, VIRGINIA By Scott Southworth, W.C. Burton, J.S. Schindler, and A.J. Froelich with contributions on the geology of the Piedmont province by A.A. Drake, Jr., and R.E. Weems and an aeromagnetic survey by D.L. Daniels, W.F. Hanna, and R.E. Bracken.