Icons style contains point symbols to be displayed in screen space, making them useful for showing the location of content at all viewing distances.

Icon for GIS in Schools Support CardPhoto by Matthew Waring downloaded from https://unsplash.com/photos/MJAoiige14E

A custom 120x120px image created by the Ada County Highway District's GIS department for use as a category icon linked to the point, line, and polygon layers of the Integrated Five Year Work Plan in the Public Open Data hub.

Icons made by Smashicons from www.flaticon.comUsed in the GIS Resource Hub page.

Icons made by Smashicons from www.flaticon.comUsed in the GIS Resource Hub page.

Graphic Icon: Icon used for DOT purposes for possible or unknown injuries that stem from crashes.

The National Weather Service (NWS) Storm Prediction Center (SPC) routinely collects reports of severe weather and compiles them with public access from the database called SeverePlot (Hart and Janish 1999) with a Graphic Information System (GIS). The composite SVRGIS information is made available to the public primarily in .zip files of approximately 50MB size. The files located at the access point contain track information regarding known tornados during the period 1950 to 2006. Although available to all, the data provided may be of particular value to weather professionals and students of meteorological sciences. An instructional manual is provided on how to build and develop a basic severe weather report GIS database in ArcGis and is located at the technical documentation site contained in this metadata catalog.

This Icon was created to support the Racial Equity Plan Hub Site. The REP hub site has been archived in compliance with Executive Order 14151 and is no longer actively updated. The site remains accessible for historical reference purposes.

A building is a structure that has a roof and walls and stands more or less permanently in one place. Symbols are used when buildings and structures are permanent landmarks. Symbolized buildings have no side larger than 50 metres for 1:20,000 data or no side larger than 30 metres for 1:10,000 data. Small structures (including buildings less than 50 square metres) are not shown unless they constitute a point of orientation. This product requires the use of GIS software. Land Information Ontario: Data Class Fact Sheet - Building to Scale (PDF) *[GIS]: geographic information system

The Barricade Icon is a clear and effective symbol for highlighting road closures, construction sites, or restricted areas on GIS maps.

Adobe Acrobat PDF Icon

Health category image.

This map provides the location and condition of all bridges and large culverts in the Commonwealth. The solid icons on the map represent culverts while the open icons represent bridges. Zoom in on the map to display bridges on primary and secondary routes. Click on any icon for additional information about the bridge or culvert. Due to data collection efforts some bridges may show multiple icons – we are working to correct this issue. Bridge condition is not a measure of safety. All bridges are inspected regularly and any bridge determined to be unsafe is immediately closed until repairs can be made.

Retirement Notice: This item is in mature support as of February 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This layer displays change in pixels of the Sentinel-2 10m Land Use/Land Cover product developed by Esri, Impact Observatory, and Microsoft. Available years to compare with 2021 are 2018, 2019 and 2020. By default, the layer shows all comparisons together, in effect showing what changed 2018-2021. But the layer may be changed to show one of three specific pairs of years, 2018-2021, 2019-2021, or 2020-2021.Showing just one pair of years in ArcGIS Online Map Viewer To show just one pair of years in ArcGIS Online Map viewer, create a filter. 1. Click the filter button. 2. Next, click add expression. 3. In the expression dialogue, specify a pair of years with the ProductName attribute. Use the following example in your expression dialogue to show only places that changed between 2020 and 2021:ProductNameis2020-2021 By default, places that do not change appear as a transparent symbol in ArcGIS Pro. But in ArcGIS Online Map Viewer, a transparent symbol may need to be set for these places after a filter is chosen. To do this: 4. Click the styles button.5. Under unique values click style options. 6. Click the symbol next to No Change at the bottom of the legend. 7. Click the slider next to "enable fill" to turn the symbol off. Showing just one pair of years in ArcGIS Pro To show just one pair of years in ArcGIS Pro, choose one of the layer's processing templates to single out a particular pair of years. The processing template applies a definition query that works in ArcGIS Pro. 1. To choose a processing template, right click the layer in the table of contents for ArcGIS Pro and choose properties. 2. In the dialogue that comes up, choose the tab that says processing templates. 3. On the right where it says processing template, choose the pair of years you would like to display. The processing template will stay applied for any analysis you may want to perform as well. How the change layer was created, combining LULC classes from two yearsImpact Observatory, Esri, and Microsoft used artificial intelligence to classify the world in 10 Land Use/Land Cover (LULC) classes for the years 2017-2021. Mosaics serve the following sets of change rasters in a single global layer: Change between 2018 and 2021Change between 2019 and 2021Change between 2020 and 2021To make this change layer, Esri used an arithmetic operation combining the cells from a source year and 2021 to make a change index value. ((from year * 16) + to year) In the example of the change between 2020 and 2021, the from year (2020) was multiplied by 16, then added to the to year (2021). Then the combined number is served as an index in an 8 bit unsigned mosaic with an attribute table which describes what changed or did not change in that timeframe. Variable mapped: Change in land cover between 2018, 2019, or 2020 and 2021 Data Projection: Universal Transverse Mercator (UTM)Mosaic Projection: WGS84Extent: GlobalSource imagery: Sentinel-2Cell Size: 10m (0.00008983152098239751 degrees)Type: ThematicSource: Esri Inc.Publication date: January 2022 What can you do with this layer?Global LULC maps provide information on conservation planning, food security, and hydrologic modeling, among other things. This dataset can be used to visualize land cover anywhere on Earth. This layer can also be used in analyses that require land cover input. For example, the Zonal Statistics tools allow a user to understand the composition of a specified area by reporting the total estimates for each of the classes. Land Cover processingThis map was produced by a deep learning model trained using over 5 billion hand-labeled Sentinel-2 pixels, sampled from over 20,000 sites distributed across all major biomes of the world. The underlying deep learning model uses 6 bands of Sentinel-2 surface reflectance data: visible blue, green, red, near infrared, and two shortwave infrared bands. To create the final map, the model is run on multiple dates of imagery throughout the year, and the outputs are composited into a final representative map. Processing platformSentinel-2 L2A/B data was accessed via Microsoft’s Planetary Computer and scaled using Microsoft Azure Batch. Class definitions1. WaterAreas where water was predominantly present throughout the year; may not cover areas with sporadic or ephemeral water; contains little to no sparse vegetation, no rock outcrop nor built up features like docks; examples: rivers, ponds, lakes, oceans, flooded salt plains.2. TreesAny significant clustering of tall (~15-m or higher) dense vegetation, typically with a closed or dense canopy; examples: wooded vegetation, clusters of dense tall vegetation within savannas, plantations, swamp or mangroves (dense/tall vegetation with ephemeral water or canopy too thick to detect water underneath).4. Flooded vegetationAreas of any type of vegetation with obvious intermixing of water throughout a majority of the year; seasonally flooded area that is a mix of grass/shrub/trees/bare ground; examples: flooded mangroves, emergent vegetation, rice paddies and other heavily irrigated and inundated agriculture.5. CropsHuman planted/plotted cereals, grasses, and crops not at tree height; examples: corn, wheat, soy, fallow plots of structured land.7. Built AreaHuman made structures; major road and rail networks; large homogenous impervious surfaces including parking structures, office buildings and residential housing; examples: houses, dense villages / towns / cities, paved roads, asphalt.8. Bare groundAreas of rock or soil with very sparse to no vegetation for the entire year; large areas of sand and deserts with no to little vegetation; examples: exposed rock or soil, desert and sand dunes, dry salt flats/pans, dried lake beds, mines.9. Snow/IceLarge homogenous areas of permanent snow or ice, typically only in mountain areas or highest latitudes; examples: glaciers, permanent snowpack, snow fields. 10. CloudsNo land cover information due to persistent cloud cover.11. Rangeland Open areas covered in homogenous grasses with little to no taller vegetation; wild cereals and grasses with no obvious human plotting (i.e., not a plotted field); examples: natural meadows and fields with sparse to no tree cover, open savanna with few to no trees, parks/golf courses/lawns, pastures. Mix of small clusters of plants or single plants dispersed on a landscape that shows exposed soil or rock; scrub-filled clearings within dense forests that are clearly not taller than trees; examples: moderate to sparse cover of bushes, shrubs and tufts of grass, savannas with very sparse grasses, trees or other plants.CitationKarra, Kontgis, et al. “Global land use/land cover with Sentinel-2 and deep learning.” IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021.AcknowledgementsTraining data for this project makes use of the National Geographic Society Dynamic World training dataset, produced for the Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute.For questions please email environment@esri.com

VT E911 Composite geocoder - uses ESITE, RDSNAME, and RDSRANGE.
VCGI, in collaboration with the VT E911 Board, has created a suite of geocoding services that can be used to batch geocode addresses using ArcGIS Desktop 10.x. This service can also be integrated into ESRI ArcGIS web-based mapping applications.

Input Address Requirements

• Must use valid E911 addresses (street style addressing...no P.O. box addresses!) and E911 town names.

Limitations

• Don't attempt to geocode more than 50000 records or so.
• You must have an Internet connection to use the services. A DSL, cable, or other high bandwidth connection is the best option.
• Addresses other than E911 addresses are not supported.

ArcGIS Desktop - How To:

1. Use the following procedures to utilize these service in ArcMap.
   1. Startup ArcMap 10+
   2. Add a table containing VT addresses to geocode.
      1. ?Click the "Add Data" button.
      2. Navigate to your table, choose to add your table
   3. Right-click on the table in the table of contents
   4. Select "Geocode Addresses...".
   5. Select "Add" in the dialog box.
   6. Browse to the "GIS Servers" icon in your catalog, then double click "Add ArcGIS Server".
   7. Select "Use GIS Services", then Next.
   8. ServerURL = http://maps.vcgi.vermont.gov/arcgis/services then click finish.
   9. Browse to "arcgis on maps.vcgi.org (user)". Browse to .\EGC_services folder.
   10. Select GECODE_ESITE (or GEOCODE_COMPOSITE). Click OK.
   11. Select whatever options you want in the geocode dialog box, including output, then click ok.
   12. The output will be automatically added to your ArcMap session.

An Open Context "documents" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "Murlo" data publication.

A building is a structure that has a roof and walls and stands more or less permanently in one place. Symbols are used when buildings and structures are permanent landmarks. Symbolized buildings have no side larger than 50 metres for 1:20,000 data or no side larger than 30 metres for 1:10,000 data. Small structures (including buildings less than 50 square metres) are not shown unless they constitute a point of orientation. This product requires the use of GIS software. Land Information Ontario: Data Class Fact Sheet - Building to Scale (PDF) *[GIS]: geographic information system

The U.S. Small-area Life Expectancy Estimates Project (USALEEP) is a partnership of NCHS, the Robert Wood Johnson Foundation (RWJF)external icon, and the National Association for Public Health Statistics and Information Systems (NAPHSIS)external icon to produce a new measure of health for where you live. The USALEEP project produced estimates of life expectancy at birth—the average number of years a person can expect to live—for most of the census tracts in the United States for the period 2010-2015.MethodsThe abridged period life tables calculated to estimate census-tract life expectancy at birth for the period 2010-2015 are based on a methodology developed for this project and described in the report:Arias E, Escobedo LA, Kennedy J, Fu C, Cisewski J. U.S. Small-area Life Expectancy Estimates Project: Methodology and Results Summary pdf icon[PDF – 8 MB]. National Center for Health Statistics. Vital Health Stat 2(181). 2018.Data and Documentation FilesLife Expectancy Files contain geographic identifiers, life expectancy at birth for 2010-2015, and flags noting whether the estimates were based exclusively on observed data, a combination of observed and predicted values, or exclusively predicted values.Abridged Period Life Table Files contain geographic identifiers and the abridged, period life tables for 2010-2015 that were calculated to generate the life expectancy estimates for each census tract.Record layout pdf icon[PDF – 69 KB] excel icon[XLS – 18 KB]Copyright informationAll material appearing on this page is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.Suggested citationFor data files: National Center for Health Statistics. U.S. Small-Area Life Expectancy Estimates Project (USALEEP): Life Expectancy Estimates File for {Jurisdiction}, 2010-2015]. National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html.For methodology: Arias E, Escobedo LA, Kennedy J, Fu C, Cisewski J. U.S. Small-area Life Expectancy Estimates Project: Methodology and Results Summary pdf icon[PDF – 8 MB]. National Center for Health Statistics. Vital Health Stat 2(181). 2018.

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

Button icon for Open Data Portal external link to financial information contained within the OpenGov site.