As of March 2021, Waze was the mobile GPN navigation app found to collect the largest amount of data from global iOS users, with 21 data points collected across all examined segments. Maps.me collected a total of 20 data points from its users, including five data points on contact information. Hiking and trail GPS map Gaia followed, with 13 data points, respectively.

USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.

The China Maps Bibliographic Database is an historical collection of bibliographic information for more than 400 maps of China. The information resides in a searchable database and includes title, author/editor, publisher, location, projection, year, elevation, land cover type (forest, desert, marsh/swamp, grassland), vegetation, transportation (roads, railroads), rivers and lakes, spatial coverage (provincial, county, township), and language for maps published from 1765 to 1994. The information is available in both English and Chinese (GB Code for Chinese Characters). This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project and the Center for International Earth Science Information Network (CIESIN).

In this seminar, you will learn how to use Collector for ArcGIS to download maps, create new GIS features, as well as update existing ones when disconnected from the Internet, and then synchronize changes back to the office when you are connected. In addition, you will learn how to create maps and publish services for devices.This seminar was developed to support the following:Collector for ArcGIS (Android) 10.2Collector for ArcGIS (iOS) 10.2

This data collection of the 3D Elevation Program (3DEP) consists of Lidar Point Cloud (LPC) projects as provided to the USGS. These point cloud files contain all the original lidar points collected, with the original spatial reference and units preserved. These data may have been used as the source of updates to the 1/3-arcsecond, 1-arcsecond, and 2-arcsecond seamless 3DEP Digital Elevation Models (DEMs). The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Lidar (Light detection and ranging) discrete-return point cloud data are available in LAZ format. The LAZ format is a lossless compressed version of the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. Point Cloud data can be converted from LAZ to LAS or LAS to LAZ without the loss of any information. Either format stores 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of geo-referenced x, y coordinates and z (elevation), as well as other attributes for each point. Additonal information about the las file format can be found here: https://www.asprs.org/divisions-committees/lidar-division/laser-las-file-format-exchange-activities. All 3DEP products are public domain.

Map of discharge stations used by Mouhamed Idrissou for getting runoff data from the Dano Catchment.

This collection consists of ASCII files containing derived magnetic field maps and equivalent source dipole arrays for the crustal magnetic field of Mercury. Zero values (mainly found along the map edges) indicate no useful data.

Geological map data for research and analysis applications, most commonly in GIS systems. Georeferenced, attributed, GIS vector format data of geological map information at all scales, in 2D and 3D. Includes regolith, surface geology and solid geology map data, and 3D models.

The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See https://www.usgs.gov/core-science-systems/ngp/board-on-geographic-names for additional information.

This data consists of data grids for the entire United States area, including 1 X 2 Degree, 1 X 1 Degree, 30 X 60 Minute, 15 X 15 Minute, 7.5 X 7.5 Minute, and 3.75 X 3.75 Minute. The grid was generated using ESRI ArcInfo GIS software.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution.The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Each tile is distributed in the UTM Zone in which it lies. If a tile crosses two UTM zones, it is delivered in both zones. The one-meter DEM is the highest resolution standard DEM offered in the 3DEP product suite. Other 3DEP products are nationally seamless DEMs in resolutions of 1/3, 1, and 2 arc seconds. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. Other 3DEP products include five-meter DEMs in Alaska as well as various source datasets including the lidar point cloud and interferometric synthetic aperture radar (Ifsar) digital surface models and intensity images. All 3DEP products are public domain.

The USGS Transportation downloadable data from The National Map (TNM) is based on TIGER/Line data provided through U.S. Census Bureau and supplemented with HERE road data to create tile cache base maps. Some of the TIGER/Line data includes limited corrections done by USGS. Transportation data consists of roads, railroads, trails, airports, and other features associated with the transport of people or commerce. The data include the name or route designator, classification, and location. Transportation data support general mapping and geographic information system technology analysis for applications such as traffic safety, congestion mitigation, disaster planning, and emergency response. The National Map transportation data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and structure ...

Use the Attachment Viewer template to provide an app for users to explore a layer's features and review attachments with the option to update attribute data. Present your images, videos, and PDF files collected using ArcGIS Field Maps or ArcGIS Survey123 workflows. Choose an attachment-focused layout to display individual images beside your map or a map-focused layout to highlight your map next to a gallery of images. Examples: Review photos collected during emergency response damage inspections. Display the results of field data collection and support downloading images for inclusion in a report. Present a map of land parcel along with associated documents stored as attachments. Data requirements The Attachment Viewer template requires a feature layer with attachments. It includes the capability to view attachments of a hosted feature service or an ArcGIS Server feature service (10.8 or later). Currently, the app can display JPEG, JPG, PNG, GIF, MP4, QuickTime (.mov), and PDF files in the viewer window. All other attachment types are displayed as a link. Key app capabilities App layout - Choose between an attachment-focused layout, which displays one attachment at a time in the main panel of the app with the map on the side, or a map-focused layout, which displays the map in the main panel of the app with a gallery of attachments. Feature selection - Allows users to select features in the map and view associated attachments. Review data - Enable tools to review and update existing records. Zoom, pan, download images - Allow users to interact with and download attachments. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

3D laser scan data of Cliefden Caves, NSW, Australia. Data were acquired using the Zebedee 3D Mapping System, a handheld lidar system that generates maps from measurement collected as an operator holding the device traverses through the site. The primary representations provided are detailed 3D point cloud maps of the caves and the surface above them (approximately 532 million points), as well as the trajectory estimate of the laser scanner as it was carried through the environment.

This web map is a component of the CrowdMag Visualization App.NOAA's CrowdMag is a crowdsourced data collection project that uses a mobile app to collect geomagnetic data from the magnetometers that modern smartphones use as part of their navigation systems. NCEI collects these data from citizen scientists around the world and provides quality control services before making them available through a series of aggregated maps and charts. These data have the potential to provide a high resolution alternative to geomagnetic satellite data, as well as near real-time information about changes in the magnetic field.This map shows data collected from phones around the world! Displayed are the Crowdsourced magnetic data within a tolerance level of prediction by World Magnetic Model. We have added some uncertainty to each data point shown to ensure the privacy of our contributors. The data points are grouped together (or "aggregated") into small areas , and we display the median data value across all the readings for each point.

This map is updated every day. Layers are available for Median Intensity, Median Horizontal Component (Y), and Median Vertical Component (Z).


Use the time slider to select the date range. Select the different layers under the "Crowdmag Observations" menu. View a color scale using the legend tool. Zoom to your location using the "Find my Location" tool. Click or tap on a data point to view a popup containing more information.

High Accuracy Map Market Outlook

The global high accuracy map market size was valued at approximately USD 2.4 billion in 2023 and is projected to reach around USD 12.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 20.5% from 2024 to 2032. This impressive growth is primarily driven by advancements in autonomous vehicle technology and increasing demand for precise geospatial data across various sectors. The rapid urbanization and increased investment in smart city projects worldwide are also significant factors contributing to market growth.

One of the primary growth factors fueling the high accuracy map market is the burgeoning development of autonomous vehicles. As the automotive industry continues to innovate, the need for high precision maps that provide detailed and real-time data on road conditions, traffic, and obstacles becomes more crucial. High accuracy maps enable autonomous vehicles to navigate safely and efficiently, reducing the likelihood of accidents and improving overall transportation systems. This demand is anticipated to surge further as governments and corporations strive to deploy autonomous vehicle fleets for both personal and commercial use.

Another significant driver of market growth is the increasing implementation of high accuracy maps in infrastructure development and urban planning. As cities expand and develop, the need for accurate and detailed geographic information systems (GIS) becomes essential for efficient planning and management. High accuracy maps provide critical data for designing and maintaining roads, bridges, utilities, and other infrastructure projects. The integration of high precision mapping technology in smart city initiatives further accelerates the adoption of these systems, enabling better resource management and enhanced quality of life for urban populations.

The agricultural sector is also contributing to the expanding high accuracy map market. Precision agriculture relies heavily on accurate geospatial data to optimize farming practices, enhance crop yields, and ensure sustainable resource use. High accuracy maps enable farmers to monitor field conditions, assess soil health, and implement targeted interventions, leading to increased productivity and reduced environmental impact. As the global demand for food continues to rise, the adoption of advanced mapping technologies in agriculture is expected to grow, driving further market expansion.

Regionally, North America holds a significant share of the high accuracy map market, driven by technological advancements and substantial investments in autonomous vehicle research and development. The presence of leading technology companies and a robust infrastructure network further facilitate market growth in this region. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period, fueled by rapid urbanization, increasing smart city projects, and rising adoption of advanced mapping technologies across various industries. Europe also remains a key player in the market, supported by strong governmental initiatives and a focus on sustainable development.

Component Analysis

The high accuracy map market can be segmented by component into software, hardware, and services. The software segment, encompassing map creation, data processing, and visualization tools, plays a critical role in the market. The demand for sophisticated mapping software is driven by the need for real-time data processing and the integration of multiple data sources to create comprehensive and precise maps. Companies are continually developing advanced software solutions that leverage artificial intelligence and machine learning to enhance the accuracy and functionality of high precision maps.

The hardware segment includes various devices and sensors used in capturing geospatial data, such as GPS units, LiDAR sensors, and high-resolution cameras. As the demand for high accuracy maps grows, the need for advanced hardware capable of capturing detailed and precise data also increases. Innovations in sensor technology and the development of more compact and cost-effective devices are contributing to the growth of this segment. The hardware segment is crucial for the initial data collection phase, which lays the foundation for accurate map creation.

Services encompass a wide range of offerings, including consulting, system integrati

Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans and the current status of the MRGP segments and outlets on the map.MRGP Fieldworker SolutionNotes on MRGP fieldworker solution: July 12, 2021. The MRGP map now displays the current status of road segments and outlets. Fieldworkers using the MRGP solution should remove the offline map area(s) from their device, and keep their new offline map current, by syncing their map. Enabling auto-sync will get you the current segment or outlet status automatically. See FAQ section below for more information. Road Erosion Inventory forms are available and have a new look and feel this year. The drainage ditch survey is broken out into three pages for a better user experience. The first page contains survey and segment information, the second; the inventory, and the third; barriers to implementation. You will notice the questions are outlined by section so it’s easier to follow along too. The questions have remained the same. Survey123 has a new option requiring users to update surveys on their mobile device. That option has been enabled for the two MRGP Survey123 forms. Step 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Collector or Field Maps and Survey123. ArcGIS Collector or Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory. ArcGIS Field Maps is ESRI’s new all-in-one app for field work and will replace ArcGIS Collector. You can download ArcGIS Collector or ArcGIS Fields Maps and Survey123 from the Google Play Store.You can download ArcGIS Collector or ArcGIS Field Maps and Survey123 from Apple Store.

Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, please contact your Regional Planning Commission’s Transportation Planner or Jim Ryan (MRGP Program Lead) at (802) 490-6140.Open Collector for ArcGIS, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUse your location, button circled in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

Step 6: Repeat!Go back to the ArcGIS Collector or Field Maps and select the next segment for inventory and repeat steps 1-5.

If you have question related to inventory protocol reach out to Jim Ryan, MRGP Program Lead, at jim.ryan@vermont.gov, (802) 490-6140If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

The location where I'm doing inventory does not have a data coverage (LTE or 4G). What can I do?ArcGIS Collector allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/OEsJrCVT8BISurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.Where can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/maps/VTANR::mrgp-scoring-open-data/aboutHow do I use my own ArcGIS Collector map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

Hydrologically connected segments (lines):Update Road Segment Status

Segment ID: {SegmentID}
Segment Status: {SegmentStatus}
{RoadName}, {Municipality}
Outlets: {Outlets}
Hydrologically connected outlets (points):Update Outlet Status

Outlet ID: {OutletID}
Municipality: {Municipality}
Erosion: {ErosionValue}

How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

Where can I view the Road Erosion Inventories completed with Survey123? Using the MRGP credentials you have access to another map that shows completed REIs.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2021 data collected with Survey123?Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=f8a11de8a5a0469596ef11429ab49465Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=ae13a925a662490184d5c5b1b9621672Where can I download the 2019 data collected with Survey123?

Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=f60050c6f3c04c60b053470483acb5b1 Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=753006f9ecf144ccac8ce37772bb2c03 Where can I download the 2018 data collected with Survey123?Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=124b617d142e4a1dbcfb78a00e8b9bc5Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=8abcc0fcec0441ce8ae6cd38e3812b1b Where can I download the Hydrologically Connected Road Segments and Outlets?Vermont Open Data Geoportal - https://geodata.vermont.gov/datasets/VTANR::hydrologically-connected-road-segments-1/about

This 2019 version of the MRGP Outlets is based on professional mapping completed using DEC's Stormwater Infrastructure dataset. In catch basin systems, work was completed to match outlets to road segments that drain to them. The outlets here correspond to Outlet IDs identified in the Hydrologically connected roads segments layer. For outlets that meet standard, road segments will also meet the standard for MRGP compliance.

Irys specializes in collecting and curating high-quality GPS signals from millions of connected devices worldwide. Our Map Data insights are sourced through partnerships with tier-1 app developers and a unique data collection method. The low-latency delivery ensures real-time insights, setting us apart and providing unparalleled benefits and use cases for Transport and Logistic Data, Mobile Location Data, Mobility Data, and IP Address Data.

Our commitment to privacy compliance is unwavering. Clear and compliant privacy notices accompany our data collection process. Opt-in/out management empowers users over data distribution.

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See https://viewer.nationalmap.gov/help for assistance with The National Map viewer, download client, services, or metadata.https://data.geoplatform.gov/metadata/f084e117-ead1-5052-974a-4090598c9870