This is a guide that describes how to use the Drawing widget to mark up maps with drawings and text in web maps where that functionality is available. Not all widgets or functionality is available in every web map.

This is a guide that describes how to use the Drawing widget to mark up maps with drawings and text in web maps where that functionality is available. Not all widgets or functionality is available in every web map.

The Georeferencing Widget gives the user the ability to upload a JPG or PNG image of a plat drawing, overlay it with the current map extent, and add it to the map as an image overlay. The widget will allow the user to stretch, move, and position the image to a desired location on the map before adding it as a map image layer. The widget is available to directly add to Web AppBuilder Developers Edition and as the source code to be extended. Please refer to the Address Editor Widget User Guide or the Configuration Instruction Guide for more details.

The FluView National Flu Activity Map is a complementary widget to the state-by-state flu map widget introduced in the 2007-2008 flu season. This interactive map allows users to see the most recent seasonal influenza activity map for the entire country as well as the activity levels from previous weeks in the current flu season.

This dashboard defaults to a presentation of the crash points that will cluster the crash types and determine a predominant crash type. In the case two crash types have the same number of crashes for that type the predominant type will not be colored to either of the crash types. Clicking on the clusters will include a basic analysis of the cluster. These clusters are dynamic and will change as the user zooms in an out of the map. The clustering of crashes is functionality availalble in ArcGIS Online and the popups for the clusters is based on items that include elements configured with the Arcade language. Users interested in learning more about point clustering and the configuration of popups should read through some of the examples of the following ESRI Article (https://www.esri.com/arcgis-blog/products/arcgis-online/mapping/summarize-and-explore-point-clusters-with-arcade-in-popups/) . The dashboard itself does include a map widget that does allow the user to toggle the visibility of layers and/or click on the crashes within the map. The popups for single crashes can be difficult to see unless the map is expanded (click in upper right of map widget). There is a Review Crashes tab that allows for another display of details of a crash that may be easier for users.This dashboard includes selectors in both the header and sidebar. By default the sidebar is collapsed and would need to be expanded. The crash dataset used in the presentation includes columns with a prefix of the unit. The persons information associated to each unit would be based on the Person that was considered the driver. Crash data can be filtered by clicking on items in chart widgets. All chart widgets have been configured to allow multiple selections and these selections will then filter the crash data accordingly. Allowing for data to be filtered by clicking on widgets is an alternative approach to setting up individual selectors. Selectors can take up a lot of space in the header and sidebar and clicking on the widget items can allow you to explore different scenarios which may ultimately be setup as selectors in the future. The Dashboard has many widgets that are stacked atop each other and underneath these stacked widgets are controls or tabs that allow the user to toggle between different visualizations. The downside to allowing a user to filter based on the output of a widget is the need for the end user to keep track of what has been clicked and the need to go back through and unclick.Many of the Crash Data Elements are based on lookups that have a fairly large range of values to select. This can be difficult sometimes with charts and the fact that a user may be overwhelmed by the number of items be plotted. Some of these values could potentially benefit by grouping similar values. The crash data being used in this dashboard hasn't been post processed to simplify some of the groupings of data and represent the value as it would appear in the Crash System. This dashboard was put together to continue the discussion on what data elements should be included in the GIS Crash Dataset. At the moment there is currently one primary dataset that is used to present crash data in Map Services. There is lots of potential to extend this dataset to include additional elements or it might be beneficial to create different versions of the crash data. Having an examples like this one will hopefully help with the discussion. Workable examples of what works and doesn't work. There are lots of data elements in the Crash System that could allow for an even more detailed safety analysis. Some of the unit items included in the example for Minot Ave in Auburn are the following. This information is included for the first three units associated to any crash.Most Damaged AreaExtent of DamageUnit TypeDirection of Travel (Northbound, Southbound, Eastbound, Westbound)Pre-Crash ActionsSequence of Events 1-4Most Harmful Event Some of the persons items included in the example for Minot Ave in Auburn are the following. This information is included for the first three units associated to any crash and the person would be based on the driver.Condition at Time of CrashDriver Action 1Driver Action 2Driver DistractedAgeSexPerson Type (Driver/Owner(6), Driver(1))In addition to the Units and Persons information included above each crash includes the standard crash data elements which includesDate, Time, Day of Week, Year, Month, HourInjury Level (K,A,B,C,PD)Type of CrashTownname, County, MDOT RegionWeather ConditionsLight ConditionsRoad Surface ConditionsRoad GradeSchool Bus RelatedTraffic Control DeviceType of LocationWork Zone ItemsLocation Type (NODE, ELEMENT) used for LRS# of K, # of A, # of B, # of C, # of PD InjuriesTotal # of UnitsTotal # of PersonsFactored AADT (Only currently applicable for crashes along the roadway (ELEMENT)).Location of First Harmful EventTotal Injury Count for the CrashBoolean Y/N if Pedestrian or Bicycles are InvolvedContributing EnvironmentsContributing RoadRoute Number, Milepoint, Element ID, Node ID

Geodatabase: N/AGeodatabase Filename: N/A Creation Date: November 9, 2023Update Date: Currently up-to-dateData Location: AGOLData Type: ExperienceData Subtype: N/AHub Site List:GIS Data StoreData Description:Public zoning application for the City of New Haven Data Update Log:12/01/2023Square footage added to pop-upParcels Query Builder tool added to allow spatial query of a desired group of parcels and export of their attributes to csvPrint Widget added12/06/2023Parcels Query Builder tool modified to add selected feature as an input option12/07/2023Popup modified so that parcel and zone attributes can now be viewed from a single popup. Sidebar removed.12/14/2024Parcel Query Builder tool moved to the right hand corner next to the print widget icon.Invisible box preventing functionality of the measure tool was removed.01/11/2024Contact information for application change requests added02/01/2024Search map tool replaced with Search widget to allow for utilization of New Haven locator02/29/2024Search widget source switched from locator to parcel layer so that the application will zoom to and select the parcel with the address entered in the Search widget.09/06/2024Button linking to DEEP's Coastal Boundary web map added to the application.03/07/2025Parcel Query Builder widget switched to reference the newly-added New Haven Parcels Management image layer03/12/2025Parcel Query Builder now allows for queries based on a selected parcel. Default distance set to 200 feet.Data Error Log:None

map of all SF properties with associated, zoning, permits, complaints and appeals history See the Data Downloads section of the websites help page for links to individual DataSF datasets used to create the Property Information Map https://sfplanninggis.org/pim/help.html

This dashboard defaults to a presentation of the crash points that will cluster the crash types and determine a predominant crash type. In the case two crash types have the same number of crashes for that type the predominant type will not be colored to either of the crash types. Clicking on the clusters will include a basic analysis of the cluster. These clusters are dynamic and will change as the user zooms in an out of the map. The clustering of crashes is functionality availalble in ArcGIS Online and the popups for the clusters is based on items that include elements configured with the Arcade language. Users interested in learning more about point clustering and the configuration of popups should read through some of the examples of the following ESRI Article (https://www.esri.com/arcgis-blog/products/arcgis-online/mapping/summarize-and-explore-point-clusters-with-arcade-in-popups/) . The dashboard itself does include a map widget that does allow the user to toggle the visibility of layers and/or click on the crashes within the map. The popups for single crashes can be difficult to see unless the map is expanded (click in upper right of map widget). There is a Review Crashes tab that allows for another display of details of a crash that may be easier for users.This dashboard includes selectors in both the header and sidebar. By default the sidebar is collapsed and would need to be expanded. The crash dataset used in the presentation includes columns with a prefix of the unit. The persons information associated to each unit would be based on the Person that was considered the driver. Crash data can be filtered by clicking on items in chart widgets. All chart widgets have been configured to allow multiple selections and these selections will then filter the crash data accordingly. Allowing for data to be filtered by clicking on widgets is an alternative approach to setting up individual selectors. Selectors can take up a lot of space in the header and sidebar and clicking on the widget items can allow you to explore different scenarios which may ultimately be setup as selectors in the future. The Dashboard has many widgets that are stacked atop each other and underneath these stacked widgets are controls or tabs that allow the user to toggle between different visualizations. The downside to allowing a user to filter based on the output of a widget is the need for the end user to keep track of what has been clicked and the need to go back through and unclick.Many of the Crash Data Elements are based on lookups that have a fairly large range of values to select. This can be difficult sometimes with charts and the fact that a user may be overwhelmed by the number of items be plotted. Some of these values could potentially benefit by grouping similar values. The crash data being used in this dashboard hasn't been post processed to simplify some of the groupings of data and represent the value as it would appear in the Crash System. This dashboard was put together to continue the discussion on what data elements should be included in the GIS Crash Dataset. At the moment there is currently one primary dataset that is used to present crash data in Map Services. There is lots of potential to extend this dataset to include additional elements or it might be beneficial to create different versions of the crash data. Having an examples like this one will hopefully help with the discussion. Workable examples of what works and doesn't work. There are lots of data elements in the Crash System that could allow for an even more detailed safety analysis. Some of the unit items included in the example for Minot Ave in Auburn are the following. This information is included for the first three units associated to any crash.Most Damaged AreaExtent of DamageUnit TypeDirection of Travel (Northbound, Southbound, Eastbound, Westbound)Pre-Crash ActionsSequence of Events 1-4Most Harmful Event Some of the persons items included in the example for Minot Ave in Auburn are the following. This information is included for the first three units associated to any crash and the person would be based on the driver.Condition at Time of CrashDriver Action 1Driver Action 2Driver DistractedAgeSexPerson Type (Driver/Owner(6), Driver(1))In addition to the Units and Persons information included above each crash includes the standard crash data elements which includesDate, Time, Day of Week, Year, Month, HourInjury Level (K,A,B,C,PD)Type of CrashTownname, County, MDOT RegionWeather ConditionsLight ConditionsRoad Surface ConditionsRoad GradeSchool Bus RelatedTraffic Control DeviceType of LocationWork Zone ItemsLocation Type (NODE, ELEMENT) used for LRS# of K, # of A, # of B, # of C, # of PD InjuriesTotal # of UnitsTotal # of PersonsFactored AADT (Only currently applicable for crashes along the roadway (ELEMENT)).Location of First Harmful EventTotal Injury Count for the CrashBoolean Y/N if Pedestrian or Bicycles are InvolvedContributing EnvironmentsContributing RoadRoute Number, Milepoint, Element ID, Node ID

This story map highlights what the Nebraska Silver Jackets Team has created: an interactive web map that showcases past and ongoing flood mitigation projects across the state. The goal of the map is to create an online location where communities can learn what mitigation projects have been funded, the different grants available, and the array of possible funding partners for all kinds of mitigation projects. The story map includes background information about flood mitigation and describes the data collection process. There is also a how to guide for using the interactive map with widget icons and their descriptions. There is other valuable information including FEMA videos and ways to submit mitigation projects the initial data gathering process may have missed.

The Equity Explorer Tool allows users to explore census tracts throughout Los Angeles County to identify areas of the highest need based on populations disproportionately affected by COVID-19 prior to embarking on project design by either using the map or a series of filters.To use the Equity Explorer, users can leverage the following capabilities:Core COVID Filters: Apply the various COVID filters in the Core COVID Filters section of the far left pane. These filters include the COVID index scores and categories, the individual index components, HUD Qualified tract status, and other location attributes (like CSA). As filters in this section are applied, the map will update to reflect only tracts meeting the criteria and the summary statistics and table will update accordingly. To turn the filter on, toggle the radio button to the right of the filter. The filter is on when the button is blue. Thematic Filters: Apply any additional filters in the Thematic Filters section. Please note, these filters do not impact the summary statistics at the bottom of the application or the table of tracts. The corresponding layer(s) will need to be turned on using the map layer list to see the filter results. Map Selection: In addition to the above filters, tracts can also be selected directly on the map using the map select tool in the upper left corner of the map. Table Widget: Once the list of tracts has been narrowed down appropriately for the program, tracts can be exported by clicking the table widget in the upper right corner, next to the documentation button. Navigate to the COVID Index tab, click the 4 dot icon to the right of the table, and export records as a CSV. Summary Statistics: As the COVID filters are applied or a selection is made on the map, the statistics at the bottom of the screen will update. Map Layer List: To additional layers on or off the map, click the eye icon next to a layer name in the map layer list in the far right paneMap Legend: The map legend in the bottom right corner will update to show information about the layers currently being visualized on the map.For more information, please contact egis@isd.lacounty.gov or race-equity@ceo.lacounty.gov

This is the 100-Year Floodplain for the 2050s based on FEMA's Preliminary Work Map data and the New York Panel on Climate Change's 90th Percentile Projects for Sea-Level Rise (31 inches). Please see the Disclaimer PDF for more information. Data Provided by the Mayor's Office of Long-Term Planning and Sustainability (OLTPS) on behalf of CUNY Institute for Sustainable Cities (CISC) and the New York Panel on Climate Change (NPCC).

The Connecticut State Historic Preservation Office (SHPO) is pleased to provide the ConnCRIS Public Resource Viewer, an online application for Connecticut’s cultural resources inventory. With this initial release, SHPO is fulfilling an important responsibility to share its cultural resources inventory data. The ConnCRIS site will be updated as additional cultural resource content is developed.

The left side of the screen contains "On-Map Widgets" for interacting with the map and layers. Use the Search bar to search for towns or features of interest. The right side of the screen contains the "Banner Widgets" for viewing and changing the map features.

This guide will cover the use and functionality of the "ConnCRIS Public Resource Viewer". Additionally, this guide will also cover common questions regarding the application. The purpose of this guide is to assist in the understanding of the widgets within the application.

EnVision serves as a graphics-based internet portal and single point-of-entry for users to access energy maps and geospatial data. It relies on a “dashboard” of pre-defined tools or widgets to customize and enhance user map displays and to expedite access to assemblages of maps and data (e.g NOGA, World Energy, and other project data packages). EnVision is flexible and scalable; it works on multiple computer platforms and browsers and can grow to include new tools, data types, and energy commodity assets to the dashboard as research needs require. Implemention of EnVision allows the Data Management Project and Energy Program to move another step closer to the one-stop shopping concept for access to the Program's data resources in a single portal.

This map was put together as a source for the Map Widget in an ArcGIS Online Dashboard. The map itself may filter the crash data differently than than the AGOL Dashboard. There are multiple feature layers that are sourced to the same crash dataset. Depending on the type of analysis and/or needs of the user will dictate the most appropriate visualization. Users looking to filter or visualize the crash data in this map differently should create a copy of the map. Future changes may be made to this map depending on the needs of the Office of Safety and Mobility at the Maine Department of Transportation.

This application is intended for informational purposes only and is not an operational product. The tool provides the capability to access, view and interact with satellite imagery, and shows the latest view of Earth as it appears from space.For additional imagery from NOAA's GOES East and GOES West satellites, please visit our Imagery and Data page or our cooperative institute partners at CIRA and CIMSS.This website should not be used to support operational observation, forecasting, emergency, or disaster mitigation operations, either public or private. In addition, we do not provide weather forecasts on this site — that is the mission of the National Weather Service. Please contact them for any forecast questions or issues. Using the Maps​What does the Layering Options icon mean?The Layering Options widget provides a list of operational layers and their symbols, and allows you to turn individual layers on and off. The order in which layers appear in this widget corresponds to the layer order in the map. The top layer ‘checked’ will indicate what you are viewing in the map, and you may be unable to view the layers below.Layers with expansion arrows indicate that they contain sublayers or subtypes.What does the Time Slider icon do?The Time Slider widget enables you to view temporal layers in a map, and play the animation to see how the data changes over time. Using this widget, you can control the animation of the data with buttons to play and pause, go to the previous time period, and go to the next time period.Do these maps work on mobile devices and different browsers?Yes!Why are there black stripes / missing data on the map?NOAA Satellite Maps is for informational purposes only and is not an operational product; there are times when data is not available.Why does the imagery load slowly?This map viewer does not load pre-generated web-ready graphics and animations like many satellite imagery apps you may be used to seeing. Instead, it downloads geospatial data from our data servers through a Map Service, and the app in your browser renders the imagery in real-time. Each pixel needs to be rendered and geolocated on the web map for it to load.How can I get the raw data and download the GIS World File for the images I choose?The geospatial data Map Service for the NOAA Satellite Maps GOES satellite imagery is located on our Satellite Maps ArcGIS REST Web Service ( available here ).We support open information sharing and integration through this RESTful Service, which can be used by a multitude of GIS software packages and web map applications (both open and licensed).Data is for display purposes only, and should not be used operationally.Are there any restrictions on using this imagery?NOAA supports an open data policy and we encourage publication of imagery from NOAA Satellite Maps; when doing so, please cite it as "NOAA" and also consider including a permalink (such as this one) to allow others to explore the imagery.For acknowledgment in scientific journals, please use:We acknowledge the use of imagery from the NOAA Satellite Maps application: LINKThis imagery is not copyrighted. You may use this material for educational or informational purposes, including photo collections, textbooks, public exhibits, computer graphical simulations and internet web pages. This general permission extends to personal web pages. About this satellite imageryWhat am I looking at in these maps?In this map you are seeing the past 24 hours (updated approximately every 10 minutes) of the Western Hemisphere and Pacific Ocean, as seen by the NOAA GOES East (GOES-16) and GOES West (GOES-18) satellites. In this map you can also view four different ‘layers’. The views show ‘GeoColor’, ‘infrared’, and ‘water vapor’.This maps shows the coverage area of the GOES East and GOES West satellites. GOES East, which orbits the Earth from 75.2 degrees west longitude, provides a continuous view of the Western Hemisphere, from the West Coast of Africa to North and South America. GOES West, which orbits the Earth at 137.2 degrees west longitude, sees western North and South America and the central and eastern Pacific Ocean all the way to New Zealand.What does the GOES GeoColor imagery show?The 'Merged GeoColor’ map shows the coverage area of the GOES East and GOES West satellites and includes the entire Western Hemisphere and most of the Pacific Ocean. This imagery uses a combination of visible and infrared channels and is updated approximately every 15 minutes in real time. GeoColor imagery approximates how the human eye would see Earth from space during daylight hours, and is created by combining several of the spectral channels from the Advanced Baseline Imager (ABI) – the primary instrument on the GOES satellites. The wavelengths of reflected sunlight from the red and blue portions of the spectrum are merged with a simulated green wavelength component, creating RGB (red-green-blue) imagery. At night, infrared imagery shows high clouds as white and low clouds and fog as light blue. The static city lights background basemap is derived from a single composite image from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day Night Band. For example, temporary power outages will not be visible. Learn more.What does the GOES infrared map show?The 'GOES infrared' map displays heat radiating off of clouds and the surface of the Earth and is updated every 15 minutes in near real time. Higher clouds colorized in orange often correspond to more active weather systems. This infrared band is one of 12 channels on the Advanced Baseline Imager, the primary instrument on both the GOES East and West satellites. on the GOES the multiple GOES East ABI sensor’s infrared bands, and is updated every 15 minutes in real time. Infrared satellite imagery can be "colorized" or "color-enhanced" to bring out details in cloud patterns. These color enhancements are useful to meteorologists because they signify “brightness temperatures,” which are approximately the temperature of the radiating body, whether it be a cloud or the Earth’s surface. In this imagery, yellow and orange areas signify taller/colder clouds, which often correlate with more active weather systems. Blue areas are usually “clear sky,” while pale white areas typically indicate low-level clouds. During a hurricane, cloud top temperatures will be higher (and colder), and therefore appear dark red. This imagery is derived from band #13 on the GOES East and GOES West Advanced Baseline Imager.How does infrared satellite imagery work?The infrared (IR) band detects radiation that is emitted by the Earth’s surface, atmosphere and clouds, in the “infrared window” portion of the spectrum. The radiation has a wavelength near 10.3 micrometers, and the term “window” means that it passes through the atmosphere with relatively little absorption by gases such as water vapor. It is useful for estimating the emitting temperature of the Earth’s surface and cloud tops. A major advantage of the IR band is that it can sense energy at night, so this imagery is available 24 hours a day.What do the colors on the infrared map represent?In this imagery, yellow and orange areas signify taller/colder clouds, which often correlate with more active weather systems. Blue areas are clear sky, while pale white areas indicate low-level clouds, or potentially frozen surfaces. Learn more about this weather imagery.What does the GOES water vapor map layer show?The GOES ‘water vapor’ map displays the concentration and location of clouds and water vapor in the atmosphere and shows data from both the GOES East and GOES West satellites. Imagery is updated approximately every 15 minutes in real time. Water vapor imagery, which is useful for determining locations of moisture and atmospheric circulations, is created using a wavelength of energy sensitive to the content of water vapor in the atmosphere. In this imagery, green-blue and white areas indicate the presence of high water vapor or moisture content, whereas dark orange and brown areas indicate little or no moisture present. This imagery is derived from band #10 on the GOES East and GOES West Advanced Baseline Imager.What do the colors on the water vapor map represent?In this imagery, green-blue and white areas indicate the presence of high water vapor or moisture content, whereas dark orange and brown areas indicate less moisture present. Learn more about this water vapor imagery.About the satellitesWhat are the GOES satellites?NOAA’s most sophisticated Geostationary Operational Environmental Satellites (GOES), known as the GOES-R Series, provide advanced imagery and atmospheric measurements of Earth’s Western Hemisphere, real-time mapping of lightning activity, and improved monitoring of solar activity and space weather.The first satellite in the series, GOES-R, now known as GOES-16, was launched in 2016 and is currently operational as NOAA’s GOES East satellite. In 2018, NOAA launched another satellite in the series, GOES-T, which joined GOES-16 in orbit as GOES-18. GOES-17 became operational as GOES West in January 2023.Together, GOES East and GOES West provide coverage of the Western Hemisphere and most of the Pacific Ocean, from the west coast of Africa all the way to New Zealand. Each satellite orbits the Earth from about 22,200 miles away.

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The OS Widgets extension for CKAN enhances data portals with map-based search and preview capabilities, primarily developed by Ordnance Survey for data.gov.uk. This extension provides widgets, an API for preview lists and spatial datastore for spatial data previews. It integrates mapping functionality into CKAN to allow users to discover and visualize geospatial datasets and to show a shopping basket preview list to give users an idea on what data to preview. Key Features: Map-Based Search Widget: Enables users to search for datasets based on geographic location, improving dataset discoverability in specific areas of interest. Map Preview Widget: Allows users to visualize geospatial datasets directly within CKAN, providing an immediate understanding of the data's spatial extent and content. Preview List API: Provides an API to store & manage a list of selected datasets for previewing, working as a "shopping basket" to keep a list of packages to preview. It supports adding to, removing from, and listing the packages available in the preview list. Spatial Database Integration: Supports the preview of data with geo-references (latitude/longitude coordinates, postcodes, etc.) through a spatial database (PostGIS). Spatial Ingester Wrapper: Includes a wrapper to call the Spatial Ingester, a Java tool that converts data (typically CSV/XLS) and stores it in a PostGIS database. This converted data can then be served in WFS format for display in the Map Preview tool. Configurable Server Settings: Enables customization of server URLs and API keys for the widgets, allowing configuration of the geoserver, gazetteer and libraries used in the widgets. Proxy Configuration Support: Provides guidance on configuring an Apache proxy to improve the performance of GeoServer WFS calls, ensuring quick retrieval of boundary information. Technical Integration: The extension integrates with CKAN through plugins (ossearch, ospreview, oswfsserver) that are enabled in the CKAN configuration file. Configuration involves adding plugin names to the ckan.plugins setting and adjusting server URLs, spatial database connection details, and API keys according to the specific environment, ensuring seamless integration with existing CKAN deployments. In addition to the PostGIS dependency that has to be created, it is also dependent on other external libraries such as, Jquery, underscore, backbone, etc. Benefits & Impact: Enhanced Data Discovery: Map-based search significantly improves the discovery of geospatial datasets within CKAN, allowing users to easily find data relevant to their geographic area of interest. Improved Data Understanding: Map previews provide immediate visual context for geospatial datasets, leading to a better understanding of the data's spatial characteristics.

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Data:The Web Application shows collected field data between the year 2018 - 2021. The mapped area covers:Silty zone, Sankura woreda: Bercho, Bercho Kulufo, Feten, Jejebicho Seyato, Kore, Kulufo Shegder, Menzo, Menzo Feten, Regdina, Sankura Weteta, Werabe Sinbita kebelesSilty zone, Wera woreda: Laygnawo Bedane, Sorge Dargosa kebeles Halaba zone - woreda Weradijo: Bendo Choloksa, Besheno, Bubissa, Hantazo, Kulufo, Qulibi, Sinbita, Weteta kebelesData were collected by Ethiopian field workers within following projects:"Participatory Development of Productive Landscapes in Sidama Zone, SNNPR, Ethiopia" (2017-2020)"Increasing Ecological stability of Dijo and Bilate Watershed II" - Halaba and Silty zone (2019-2021)Layers:https://arcg.is/1O8ziy0Map tools and it's symbols: Legend widget displays labels and symbols for layers in the map. Layer List widget provides a list of operational layers and their symbols. It allows to turn individual layers on and off.Add Data widget enables to add data to the map by searching layers in ArcGIS content, entering URLs, or uploading local files. The layer is temporarily added and will be removed after closing the web map application. Basemap Gallery widget allows to change background map, or visual context for data in the map. Chart widget displays quantitative attributes from an operational layer as a graphical representation of data. It allows end users to observe possible patterns and trends out of raw data. The operational layer is in the current map -DOPLNITInfographic widget, - ODSRANIT ?? nebo jich tam dat vice??Draw widget allows to draw simple graphics and text on the map. It can also be used add line distance or polygon area to the feature as text.Measurement widget allows to measure the area of a polygon or length of a line, or find the coordinates of a point.Select widget enables you to interactively select features on the map and take actions on the selected features. The selected features can be passed on to other widgets as input, such as the Geoprocessing widget, Attribute Table widget, Directions widget - PRIDAT??, and so on. Share widget allows to share an app by posting it to your social media account, sending an email with a link, or embedding it in a website or blog. It also provides an easy way to define URL parameters for the app.About widget displays information about the Web Map Application, data collection and funding.

Help document describing how to use the TxDOT Historic Resources Aggregator to generate reports from selected data and a list of explanations for the data sources referenced in the web mapping application. The process or processes for selecting data and creating a printable map or customized report is explained to allow users to create necessary documentation to use for projects and reports. The Help Document shows an itemized list of web tools with explanations of their purpose on the opening web page. Adding additional data from another source is described in detail with a list of valid data types and the steps to using the added data on the web mapping application. Using the print widget is covered so users can configure a map or data query report to be printed in the style that will best serve their purposes. Also, running the Screening Tool is covered in order for users to search for and isolate the data results that they need. Drawing points, lines and polygons on the web mapping application or using an external shapefile is explained so users can limit the location and number of records returned. Finally, a glossary is included to give users a summary of the data sets that are utilized in the TxDOT Historic Resources web mapping application.