100+ datasets found
  1. a

    Map Image Layer - Administrative Boundaries

    • hub.arcgis.com
    Updated Jan 12, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Minnesota Pollution Control Agency (2022). Map Image Layer - Administrative Boundaries [Dataset]. https://hub.arcgis.com/maps/c671252c058d46ad9173e0434382dc61
    Explore at:
    Dataset updated
    Jan 12, 2022
    Dataset authored and provided by
    Minnesota Pollution Control Agency
    Area covered
    Description

    The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php

  2. d

    Predictive soil property map: Depth to top of first restrictive layer

    • catalog.data.gov
    Updated Nov 27, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2025). Predictive soil property map: Depth to top of first restrictive layer [Dataset]. https://catalog.data.gov/dataset/predictive-soil-property-map-depth-to-top-of-first-restrictive-layer
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive layer (resdept) and surface rock size and cover. Accuracy and error estimated using a 10-fold cross validation indicated a range of model performances with coefficient of variation (R2) for models ranging from 0.20 to 0.76 with mean of 0.52 and a standard deviation of 0.12. Models of pH, om and ec had the best accuracy (R2 > 0.6). Most texture fractions, CaCO3, and SAR models had R2 values from 0.5-0.6. Models of kwfact, dbovendry, resdept, rock models, gypsum and awc had R2 values from 0.4-0.5 excepting near surface models which tended to perform better. Very fine sands and 200 cm estimates for other models generally performed poorly (R2 from 0.2-0.4), and sample size for the 200 cm models was too low for reliable model building. More than 90% of the soils data used was sampled since 2000, but some older samples are included. Uncertainty estimates were also developed by creating relative prediction intervals, which allow end users to evaluate uncertainty easily.

  3. V24 Shields Layer File

    • gis-mdot.opendata.arcgis.com
    • hub.arcgis.com
    Updated Apr 4, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Michigan Department of Transportation (2024). V24 Shields Layer File [Dataset]. https://gis-mdot.opendata.arcgis.com/datasets/mdot::v24-shields-layer-file
    Explore at:
    Dataset updated
    Apr 4, 2024
    Dataset authored and provided by
    Michigan Department of Transportationhttp://www.michigan.gov/mdot
    Description

    Follow the Esri instructions to Import Symbology From Another Layer: https://pro.arcgis.com/en/pro-app/2.7/help/mapping/layer-properties/import-symbology-from-another-layer.htm1) Download this file.2) Add the Shieldsv24 layer to a map in ArcPro.3) Use the Import Symbology tool in the Esri instructions above.4) Import the V24 Shields Layer File symbology.

  4. Motor Vehicle Use Map: Trails (Feature Layer)

    • catalog.data.gov
    • gimi9.com
    • +6more
    Updated Jul 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2025). Motor Vehicle Use Map: Trails (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/motor-vehicle-use-map-trails-feature-layer-b6fe4
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only trails with the symbol value of 5-12, 16, 17 are Forest Service System trails and contain data concerning their availability for motorized use. This data is published and refreshed on a unit by unit basis as needed. Individual unit's data must be verified and proved consistent with the published MVUMs prior to publication in the EDW. Click this link for full metadata description: Metadata _

  5. Z

    Symbology layer files: Hierarchical geomorphological mapping in mountainous...

    • data.niaid.nih.gov
    • data-staging.niaid.nih.gov
    Updated Apr 24, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Matheus G.G. De Jong; Henk Pieter Sterk; Arie C. Seijmonsbergen; Stacy Shinneman (2021). Symbology layer files: Hierarchical geomorphological mapping in mountainous areas [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4714701
    Explore at:
    Dataset updated
    Apr 24, 2021
    Dataset provided by
    Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam
    Environmental Research Institute, University of the Highlands and Islands
    Surface and Subsurface Resources, Research Foundation for Alpine and Subalpine Environments (RFASE)
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Arie C. Seijmonsbergen; Stacy Shinneman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes.

    Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

  6. Community Map

    • share-open-data-njtpa.hub.arcgis.com
    • data.baltimorecity.gov
    • +11more
    Updated Feb 16, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2019). Community Map [Dataset]. https://share-open-data-njtpa.hub.arcgis.com/maps/e64f06e8d912465a96f9ea9bfdb72676
    Explore at:
    Dataset updated
    Feb 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Community Map (World Edition) web map provides a customized world basemap that is uniquely symbolized and optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and sports amenities like tennis courts, football and baseball field lines, and more. This basemap, included in the ArcGIS Living Atlas of the World, uses the Community vector tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layer items referenced in this map.

  7. g

    Topography - State Refence Map layers - PED | gimi9.com

    • gimi9.com
    Updated May 19, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2016). Topography - State Refence Map layers - PED | gimi9.com [Dataset]. https://gimi9.com/dataset/au_431f9e07-7436-4820-9bfd-c90a0a6cc293/
    Explore at:
    Dataset updated
    May 19, 2016
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Dataset contains framework layers compiled for representation on state reference map, scale 1:1.5 million. Line and polygon features only. Road, rail, waterbody and watercourse themes included. State coastline not included. ## Purpose Can be used as a framework layer for whole of state mapping or for a generalised framework for regional mapping. Not suitable for analysis. ## Dataset History Information was compiled and digitised in generalised form from 1:250 000 scale hard copy maps. The individual CAD files were combined into seamless form and converted to Lambert Conformal Conic projection, standard parallels 29 degrees and 35 degrees S, central meridian 135 degrees E. Subsequently the information was converted to GIS format and re-projected to the state standard LCC projection. ## Dataset Citation SA Department of Environment, Water and Natural Resources (2015) Topography - State Refence Map layers - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/431f9e07-7436-4820-9bfd-c90a0a6cc293.

  8. D

    Layers used in mapping

    • data.nsw.gov.au
    • researchdata.edu.au
    Updated Apr 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NSW Department of Climate Change, Energy, the Environment and Water (2024). Layers used in mapping [Dataset]. https://data.nsw.gov.au/data/dataset/fdp-layers-used-in-mapping
    Explore at:
    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    NSW Department of Climate Change, Energy, the Environment and Water
    Description

    layers used for maps in the report including in the appendix. Includes surveyed flood level results etc

  9. Geospatial data for the Vegetation Mapping Inventory Project of Pictured...

    • catalog.data.gov
    Updated Nov 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2025). Geospatial data for the Vegetation Mapping Inventory Project of Pictured Rocks National Lakeshore [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-pictured-rocks-national-la
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Pictured Rocks
    Description

    The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We converted the photointerpreted data into a format usable in a geographic information system (GIS) by employing three fundamental processes: (1) orthorectify, (2) digitize, and (3) develop the geodatabase. All digital map automation was projected in Universal Transverse Mercator (UTM), Zone 16, using the North American Datum of 1983 (NAD83). Orthorectify: We orthorectified the interpreted overlays by using OrthoMapper, a softcopy photogrammetric software for GIS. One function of OrthoMapper is to create orthorectified imagery from scanned and unrectified imagery (Image Processing Software, Inc., 2002). The software features a method of visual orientation involving a point-and-click operation that uses existing orthorectified horizontal and vertical base maps. Of primary importance to us, OrthoMapper also has the capability to orthorectify the photointerpreted overlays of each photograph based on the reference information provided. Digitize: To produce a polygon vector layer for use in ArcGIS (Environmental Systems Research Institute [ESRI], Redlands, California), we converted each raster-based image mosaic of orthorectified overlays containing the photointerpreted data into a grid format by using ArcGIS. In ArcGIS, we used the ArcScan extension to trace the raster data and produce ESRI shapefiles. We digitally assigned map-attribute codes (both map-class codes and physiognomic modifier codes) to the polygons and checked the digital data against the photointerpreted overlays for line and attribute consistency. Ultimately, we merged the individual layers into a seamless layer. Geodatabase: At this stage, the map layer has only map-attribute codes assigned to each polygon. To assign meaningful information to each polygon (e.g., map-class names, physiognomic definitions, links to NVCS types), we produced a feature-class table, along with other supportive tables and subsequently related them together via an ArcGIS Geodatabase. This geodatabase also links the map to other feature-class layers produced from this project, including vegetation sample plots, accuracy assessment (AA) sites, aerial photo locations, and project boundary extent. A geodatabase provides access to a variety of interlocking data sets, is expandable, and equips resource managers and researchers with a powerful GIS tool.

  10. Charted Territory Map

    • noveladata.com
    • indianamap.org
    • +11more
    Updated May 26, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2018). Charted Territory Map [Dataset]. https://www.noveladata.com/maps/d582a9e953c44c09bb998c7d9b66f8d4
    Explore at:
    Dataset updated
    May 26, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Charted Territory Map (World Edition) web map provides a customized world basemap uniquely symbolized. It takes its inspiration from a printed atlas plate and pull-down scholastic classroom maps. The map emphasizes the geographic and political features in the design. The use of country level polygons are preassigned with eight different colors. It also includes the global graticule features as well as landform labels of physical features and hillshade. This basemap, included in the ArcGIS Living Atlas of the World, uses the Charted Territory vector tile layer and World Hillshade. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layers referenced in this map.

  11. OpenStreetMap (Streets with Relief - WGS84)

    • cacgeoportal.com
    • pacificgeoportal.com
    • +6more
    Updated Sep 5, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2019). OpenStreetMap (Streets with Relief - WGS84) [Dataset]. https://www.cacgeoportal.com/maps/8978501dcd724175be8913ed87166b2f
    Explore at:
    Dataset updated
    Sep 5, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Esri Street Map (with Relief). It includes the World Hillshade layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project. Precise Tile Registration: The web map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

  12. g

    Ferndale Moves! Map Layers Viewer

    • gimi9.com
    • catalog.data.gov
    • +1more
    Updated Feb 2, 2014
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2014). Ferndale Moves! Map Layers Viewer [Dataset]. https://gimi9.com/dataset/data-gov_ferndale-moves-map-layers-viewer-191ee
    Explore at:
    Dataset updated
    Feb 2, 2014
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The City of Ferndale’s Multi-Modal Plan presents a vision on how to improve and expand on opportunities for pedestrians, bicycles and transit users. It is in response to the growing demand for alternative forms of travel and the need to improve safety of those who choose to walk, bike or take transit. The plan looks at how the City may transform its streets into outstanding public spaces that are friendly to pedestrians, integrate facilities for bicyclists and transit users while continuing to serve the needs of motorized traffic. Ferndale’s vibrant downtown, surrounded by close-in residential areas on a tight grid of streets, provides an enviable foundation to build upon. Most residents are within convenient walking and bicycling distance to the majority of destinations in the city. This plan provides the guidance on how to capitalize on that good fortune and make Ferndale an outstanding walkable, bikable and transit friendly community. This map contains multiple layers of maps also available on the Ferndale Moves website, http://ferndalemoves.com/

  13. National Geographic Style Map

    • noveladata.com
    • data.baltimorecity.gov
    • +10more
    Updated May 5, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2018). National Geographic Style Map [Dataset]. https://www.noveladata.com/maps/f33a34de3a294590ab48f246e99958c9
    Explore at:
    Dataset updated
    May 5, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This National Geographic Style Map (World Edition) web map provides a reference map for the world that includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings, and landmarks, overlaid on shaded relief and a colorized physical ecosystems base for added context to conservation and biodiversity topics. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri, National Geographic or any governing authority.This basemap, included in the ArcGIS Living Atlas of the World, uses the National Geographic Style vector tile layer and the National Geographic Style Base and World Hillshade raster tile layers.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  14. Terrain - Slope Map

    • pacificgeoportal.com
    • cacgeoportal.com
    • +5more
    Updated Dec 31, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2013). Terrain - Slope Map [Dataset]. https://www.pacificgeoportal.com/datasets/a1ba14d09df14f42ad6ca3c4bcebf3b4
    Explore at:
    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map provides a colorized representation of slope, generated dynamically using server-side slope function on the Terrain layer. The degree of slope steepness is depicted by light to dark colors - flat surfaces as gray, shallow slopes as light yellow, moderate slopes as light orange and steep slopes as red-brown. A scaling is applied to slope values to generate appropriate visualization at each map scale. This service should only be used for visualization, such as a base layer in applications or maps. Note: If access to non-scaled slope values is required, use the Slope Degrees or Slope Percent functions, which return values from 0 to 90 degrees, or 0 to 1000%, respectively.Units: DegreesUpdate Frequency: QuarterlyCoverage: World/GlobalData Sources: This layer is compiled from a variety of best available sources from several data providers. To see the coverage and extents of various datasets comprising this service in an interactive map, see World Elevation Coverage Map.What can you do with this layer?Use for Visualization: Yes. This colorized slope is appropriate for visualizing the steepness of the terrain at all map scales. This layer can be added to applications or maps to enhance contextual understanding. Use for Analysis: No. 8 bit color values returned by this service represent scaled slope values. For analysis with non-scaled values, use the Slope Degrees or Slope Percent functions.For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.

    This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

  15. n

    Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil...

    • datasets.seed.nsw.gov.au
    Updated Jun 30, 1998
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (1998). Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil landscape map JPEG Download high quality JPG map Soil landscape data package ZIP Download complete package: GIS data, soil landscape reports and JPG map. Soil landscape reports ZIP Download complete soil landscape report & individual landscape descriptions. [Dataset]. https://datasets.seed.nsw.gov.au/dataset/soil-landscapes-of-the-blackville-1-100000-sheet6cfd7
    Explore at:
    Dataset updated
    Jun 30, 1998
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This map is one of a series of soil landscape maps that are intended for all of eastern and central NSW, based on standard 1:100,000 or 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the Blackville area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to Australian Soil Classification and Great Soil Group systems. Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment and Hydrogeological landscapes of NSW. Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Banks RG, 1998, Soil Landscapes of the Blackville 1:100,000 Sheet map and report, NSW Department of Land and Water Conservation, Sydney.

  16. a

    Data from: Ecosystem mapping

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Oct 5, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Taranaki Regional Council (2020). Ecosystem mapping [Dataset]. https://hub.arcgis.com/maps/4c6884b4f19548059ac4067343c01626
    Explore at:
    Dataset updated
    Oct 5, 2020
    Dataset authored and provided by
    Taranaki Regional Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The Ecosystem Mapping Layer was created by the Taranaki Regional Council to support the identification and analysis of potential ecosystems and associated threat categories within the region. The dataset combines multiple data sources to provide accurate spatial information essential for conservation planning and ecosystem management. This layer aids in the understanding of regional ecosystems and the threats they face, contributing to informed decision-making in environmental monitoring and resource management.Title: Ecosystem Mapping LayerDate created: 05/10/2020Last updated: 12/02/2024Layers:Potential Ecosystems: Feature layer representing the distribution of potential ecosystems in the region.Potential Ecosystem Threat Categories: Feature layer identifying the threat levels faced by different ecosystems.Purpose: To provide accurate spatial data on potential ecosystems and their associated threats for environmental conservation and resource management in the Taranaki Region.Language: EnglishFormat: Vector (Polygon)Type: Feature LayerSpatial Coverage: Taranaki Region, New ZealandProjection: NZGD2000 / New Zealand Transverse Mercator 2000Source: Derived from multiple environmental data sources and updated with aerial photography for accuracy.Version Control: v1.0

  17. a

    DWR Reference Layers Map

    • utahdnr.hub.arcgis.com
    Updated Feb 12, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Utah DNR Online Maps (2014). DWR Reference Layers Map [Dataset]. https://utahdnr.hub.arcgis.com/maps/cba79b2ed0434b31816ebcc6453efee1
    Explore at:
    Dataset updated
    Feb 12, 2014
    Dataset authored and provided by
    Utah DNR Online Maps
    Area covered
    Description

    ArcGIS Online map preloaded with many commonly used GIS data layers.This map can be used as a template to make new online maps so that they contain these common layers or can be used on-the-fly to customize a map with the needed layers and answer a simple question or problem. This map is also preset to be a PLSS locator with the sections layer turned on (at a set extent) to displays the Township, Range & Section information in the popup window when clicked.

  18. National Hydrography Dataset Plus Version 2.1

    • resilience.climate.gov
    • geodata.colorado.gov
    • +5more
    Updated Aug 16, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2022). National Hydrography Dataset Plus Version 2.1 [Dataset]. https://resilience.climate.gov/maps/4bd9b6892530404abfe13645fcb5099a
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Geographic Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: EPA and USGSUpdate Frequency: There is new new data since this 2019 version, so no updates planned in the futurePublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  19. World Imagery

    • cacgeoportal.com
    • hurricane-tx-arcgisforem.hub.arcgis.com
    • +4more
    Updated Dec 13, 2009
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2009). World Imagery [Dataset]. https://www.cacgeoportal.com/maps/10df2279f9684e4a9f6a7f08febac2a9
    Explore at:
    Dataset updated
    Dec 13, 2009
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:Worldwide 15-m resolution TerraColor imagery at small and medium map scales.Vantor imagery basemap products around the world: Vivid Premium at 15-cm HD resolution for select metropolitan areas, Vivid Advanced 30-cm HD for more than 1,000 metropolitan areas, and Vivid Standard from 1.2-m to 0.6-cm resolution for the most of the world, with 30-cm HD across the United States and parts of Western Europe. More information on the Vantor products is included below. High-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 30-cm to 3-cm resolution. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. Vantor Basemap ProductsVivid PremiumProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.Vivid AdvancedProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.Vivid StandardProvides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD. More on Vantor HD. Imagery UpdatesYou can use the Updates Mode in the World Imagery Wayback app to learn more about recent and pending updates. Accessing this information requires a user login with an ArcGIS organizational account. CitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map. UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map. FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  20. w

    Worcester Atlas Quick Guide: Select Features Using Another Map Layer

    • opendata.worcesterma.gov
    Updated Jun 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Worcester, MA (2025). Worcester Atlas Quick Guide: Select Features Using Another Map Layer [Dataset]. https://opendata.worcesterma.gov/documents/348e2555fa4d46819b53cc1dec808912
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    City of Worcester, MA
    Area covered
    Worcester
    Description

    Worcester Atlas is an interactive map viewer developed by the City of Worcester that gives the public access to city map layers and data, including property-specific assessor data.Users can search for property data by address, street, owner, or property ID, turn on/off map layers, get more information about certain layers in map popups, print maps, and more.More information: Visit the Introducing Worcester Atlas data story to get to know more about the City's map viewer.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Minnesota Pollution Control Agency (2022). Map Image Layer - Administrative Boundaries [Dataset]. https://hub.arcgis.com/maps/c671252c058d46ad9173e0434382dc61

Map Image Layer - Administrative Boundaries

Explore at:
Dataset updated
Jan 12, 2022
Dataset authored and provided by
Minnesota Pollution Control Agency
Area covered
Description

The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php

Search
Clear search
Close search
Google apps
Main menu