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.

Further metadata/references can be found here: http://gisweb.ciat.cgiar.org/RTBmaps/DataAvailability_RTBMaps.html

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

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.

The Urban Observatory Compare app shows maps of the same subject for three cities, in a side by side comparison view. The app allows quick visual comparisons of the patterns at work in cities around the world.The app allows people to interact with rich datasets for each city. People can use the Urban Observatory web application to easily compare cities by using a simple web browser. As a user zooms in to one digital city map, other city maps will zoom in parallel, revealing similarities and differences in density and distribution. For instance, a person can simultaneously view traffic density for Abu Dhabi and Paris or simultaneously view vegetation in London and Tokyo.The Urban Observatory is brought to you by Richard Saul Wurman, creator of Technology/Entertainment/Design (TED) and 19.20.21; Jon Kamen of the Academy Award-, Emmy Award-, and Golden Globe Award-winning film company @radical.media; and Esri president Jack Dangermond. "A map is a pattern made understandable, and patterns must be compared to understand successes, failures, and opportunities of our global cities," says Wurman. "The Urban Observatory demonstrates this new paradigm, using cartographic language and constructive data display. People and cities can use maps as a common language," said Wurman. The application utilizes Esri's ArcGIS API for JavaScript. Once a web map is created, it is added to a group and tagged to indicated its city and subject information. Those tags are read by the application as it starts up in the browser.

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. The code for the application is available on GitHub.Related work:Ecological Marine Units Explorer - a web application that visualizes the ocean as a 3D grid.Esri's website on Ecological Marine Units.

This map provides a preview and information about the National Agriculture Imagery Program (NAIP) image service available on the USDA Farm Production and Conservation Business Center Geospatial Enterprise Office public image server. Under the NAIP folder you will find a cached layer of the Contiguous United States which provides fast rendering and is scaled up to Level 17. NAIP image dates vector services showing when imagery was acquired are available on the NAIP Image Dates Data Hub. Click on the map tack pin to bring up a thumbnail view of the imagery for that area. Click the more info link to view the REST services directory for that image. This directory provides information about the image service and provides links to view the image in the ArcGIS Online map viewer, ArcMap, ArcGIS Javascript, or Google Earth. If you have feedback about NAIP imagery you can provide it by accessing the NAIP Imagery Feedback map.To view the status of the 2024 NAIP inspection view the NAIP Inspection Status Dashboard.For ordering information and other questions please contact our Customer Service Section at geo.sales@usda.gov.For questions and comments about this map please contact Joan Biediger at joan.biediger@usda.gov.

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.