100+ datasets found
  1. f

    Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of...

    • uvaauas.figshare.com
    txt
    Updated May 31, 2023
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes [Dataset]. http://doi.org/10.21942/uva.13704643
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.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.

  2. MAP SYMBOLOGY

    • public-nps.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Apr 5, 2025
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    National Park Service (2025). MAP SYMBOLOGY [Dataset]. https://public-nps.opendata.arcgis.com/datasets/map-symbology
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    Dataset updated
    Apr 5, 2025
    Dataset authored and provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Description

    The Digital Geologic Units of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina consists of geologic units mapped as area (polygon) features. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). The data were captured, grouped and attributed as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: https://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The data layer is available as a feature class in a 9.1 personal geodatabase (grsm_geology.mdb). Attributed geologic contact lines that define the geologic unit polygons are present within the Geologic Contacts (GRSMGLGA) data layer. The Geologic Units (GRSMGLG) GIS data layer is also available as a coverage export (.E00) file (GRSMGLG.E00), and as a shapefile (.SHP) file (GRSMGLG.SHP). Each GIS data format has an ArcGIS 9.1 layer (.LYR) file (GRSMGLG_GDB.LYR (geodatabase feature class), GRSMGLG_COV.LYR (coverage), GRSMGLG_SHP.LYR (shapefile) with map symbology that is included with the GIS data. See the Distribution Information section for additional information on data acquisition. The GIS data projection is NAD83, UTM Zone 17N. That data is within the area of interest of Great Smoky Mountains National Park. This dataset is just one component of the Digital Geologic Map of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina. The data layers (feature classes) that comprise the Digital Geologic Map of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina include: GRSMAML (Alteration and Metamorphic Lines), GRSMATD (Geologic Attitude and Observation Points), GRSMFLD (Folds), GRSMFLT (Faults), GRSMGLG (Geologic Units), GRSMGLGA (Geologic Contacts), GRSMGPT (Point Geologic Features), GRSMGSL (Geologic Sample Localities), GRSMMIN (Mine Point Features), GRSMSEC (Cross Section Lines), GRSMSUR (Surficial Geologic Units), GRSMSURA (Surficial Contacts) and GRSMSYM (Fault Symbology). There are three additional ancillary map components, the Geologic Unit Information (GRSMGLG1) Table, the Source Map Information (GRSMMAP) Table and the Map Help File (GRSM_GEOLOGY.HLP). Refer to the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1 (available at: https://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm) for detailed data layer (feature class) and table specifications including attribute field parameters, definitions and domains, and implemented topology rules and relationship classes.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Geology.

  3. FWS Water

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    • +1more
    Updated Jan 25, 2024
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    U.S. Fish & Wildlife Service (2024). FWS Water [Dataset]. https://hub.arcgis.com/content/f50bb7eed1934c4faebe3340f51ff071
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    Dataset updated
    Jan 25, 2024
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Description

    Custom U.S. Fish and Wildlife Service water resource inventory asset symbology for ArcGIS Pro. This symbology should be used in conjunction with the National Park Service symbology.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.gov

  4. Firefly style for ArcGIS Pro

    • hub.arcgis.com
    Updated Mar 9, 2018
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    Esri Styles (2018). Firefly style for ArcGIS Pro [Dataset]. https://hub.arcgis.com/content/93a6d9ea3b54478193ba566ab9d8b748
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    Dataset updated
    Mar 9, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Styles
    Description

    This style comprises 20 distinct hues, plus a white version, of the firefly symbol family for points, lines, and polygons.Points have two flavors of symbols. One is a standard radial opacity decay with a molten white core. The other is a variant with a shimmer effect, if that's what you need.Line symbols are available in solid or dashed. Lines are a stack of colorized semitransparent strokes beneath a white stroke, to create a glow effect.Polygons are also available in two versions. One version applies the glow to the perimeter of the polygon in both inner and outer directions, with a semi-transparent fill. This is effective for non-adjacent polygons. The alternate version only applies an inner glow, to prevent blending and overlapping of adjacent polygons.This is an early version of these symbols and only the points respond to color selection.Learn how to install this style by visiting this salacious blog post.Learn more about Firefly Cartography here.Happy Firefly Mapping! John

  5. f

    Geomorphology model (ArcGIS Pro version), input datasets and legend...

    • uvaauas.figshare.com
    • data.niaid.nih.gov
    zip
    Updated Jun 2, 2023
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Geomorphology model (ArcGIS Pro version), input datasets and legend symbology files [Dataset]. http://doi.org/10.21942/uva.13693702.v20
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    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.This model 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. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.

  6. Visitor Map Symbology - Motor Vehicle Use Map Roads

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Apr 21, 2025
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    U.S. Forest Service (2025). Visitor Map Symbology - Motor Vehicle Use Map Roads [Dataset]. https://catalog.data.gov/dataset/visitor-map-symbology-motor-vehicle-use-map-roads
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    Dataset updated
    Apr 21, 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 NRM Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Data for each individual unit must be verified and proved consistent with the published MVUMs prior to publication.The Forest Service's Natural Resource Manager (NRM) Infrastructure (Infra) is the agency standard for managing and reporting information about inventory of constructed features and land units as well as the permits sold to the general public and to partners. Go to this url for full metadata description: http://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Road_MVUM.xml

  7. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    Updated Jun 2, 2025
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    California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
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    pdf(25962387), pdf(1443441), zip(159621), zip(228604), pdf(22669649), arcgis desktop map package(211110), arcgis pro map package(153901), zip(26881), zip(140121), pdf(22679496), zip(158973), arcgis desktop map package(300515), pdf(20463896)Available download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    California Department of Water Resources
    Description

    ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 Grid 2025-05-28 Historical

    FC_2023.01

    DSM2 v8.2.0, calibrated version:

    • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
    • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
    • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
    • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
    • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
    • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
    • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
    • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
    • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
    • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
    • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

    DSM2 v8.2.1, historical version:

    • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
    • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
    • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
    • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
    • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

    Change Log

    7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

  8. MVUM Symbology - Motor Vehicle Use Map Roads (Labels)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +2more
    bin
    Updated Jun 21, 2025
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    U.S. Forest Service (2025). MVUM Symbology - Motor Vehicle Use Map Roads (Labels) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/MVUM_Symbology_-_Motor_Vehicle_Use_Map_Roads_Labels_/27365772
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    binAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    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 Motor Vehicle Use Map (MVUM). Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Information for each individual unit must be verified as to be consistent with the published MVUMs prior to inclusion in this data. Not every National Forest has data included in this feature class.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  9. Visitor Map Symbology - Motor Vehicle Use Map Trails

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +2more
    bin
    Updated Jun 21, 2025
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    U.S. Forest Service (2025). Visitor Map Symbology - Motor Vehicle Use Map Trails [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Visitor_Map_Symbology_-_Motor_Vehicle_Use_Map_Trails/27365730
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    binAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    This feature class depicts Forest Service trails where motorized use is allowed. It contains information on the specific type of motor vehicle and their seasons of use. The feature class is consistent with the appropriate National Forest's Motor Vehicle Use Map (MVUM). Non-motorized trails are not included in this data. Trails in this feature class are legal for some motorized use for at least a portion of the year. Any reference to Open or Dates Open refers strictly to when it is legal to use that motor vehicle on the trail. It is not meant to describe when the conditions would be appropriate for that use. As an example, a trail may be designated open to motorcycles all year long but there may be periods of time when snow depth prevents the use of motorcycles on that trail. It is compiled from the GIS Data Dictionary data and tabular data that the administrative units have prepared for the creation of their MVUMs. 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 Enterprise Data Warehouse (EDW).This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  10. RB 2024/00029 GIS code and map unit symbology update for South Australian...

    • pid.sarig.sa.gov.au
    Updated Aug 1, 2024
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    sarig.sa.gov.au (2024). RB 2024/00029 GIS code and map unit symbology update for South Australian geology. - Document - SARIG catalogue [Dataset]. https://pid.sarig.sa.gov.au/dataset/2024d120267
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    Dataset updated
    Aug 1, 2024
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    Area covered
    Australia, South Australia
    Description

    Map symbols are a short code used to identify various geological units on maps. Each map unit, including formally and informally named stratigraphic units as well as unnamed age and lithology units, has a unique code, representing a shortened... Map symbols are a short code used to identify various geological units on maps. Each map unit, including formally and informally named stratigraphic units as well as unnamed age and lithology units, has a unique code, representing a shortened version of the hierarchical GIS Search Code. The current system has been in use since the commencement of compilation of the state-wide digital map layers in 1988. Over time, with changes to the state’s stratigraphy, map symbols have changed or became obsolete. This map unit symbology update has been applied to three GSSA principal digital ‘Surface Geology’ datasets, the 100K, 2M and 7M scale layer sets. Associated with this update are some significant changes to the grouping of stratigraphic units, particularly in the Paleoproterozoic and Mesoproterozoic. This includes, but is not limited to, the Hutchison Supergroup, the Eba Formation and the Toondulya Supersuite. Included as an attachment within the report is a spreadsheet listing the updated map symbology and GIS codes.

  11. a

    Elevation from Lidar with Color Ramp Symbology (Tile Service)

    • hub.arcgis.com
    • gis.data.mass.gov
    Updated Sep 1, 2020
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    MassGIS - Bureau of Geographic Information (2020). Elevation from Lidar with Color Ramp Symbology (Tile Service) [Dataset]. https://hub.arcgis.com/maps/b12c4f54f66941e5b38b8606903d54ea
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    Dataset updated
    Sep 1, 2020
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    Elevation from LiDAR data for the Commonwealth of Massachusetts, symbolized with a custom color ramp and served as a cached tile layer from MassGIS' ArcGIS Online account.

  12. a

    Provinces

    • africageoportal.com
    • hub.arcgis.com
    Updated Jun 27, 2024
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    Africa GeoPortal (2024). Provinces [Dataset]. https://www.africageoportal.com/datasets/583b5eaf80d441f38a23cadf817e0668
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    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    Created for the tutorial Design symbology for a thematic map.

    Source: Natural Earth and Hasil Sensus Penduduk 2020 by Badan Pasut Statistik, Jakarta

  13. f

    20241209_wwi_military_symbols_index.docx

    • figshare.com
    docx
    Updated Jan 17, 2025
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    Maria Petriccione (2025). 20241209_wwi_military_symbols_index.docx [Dataset]. http://doi.org/10.6084/m9.figshare.28229084.v1
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    docxAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    figshare
    Authors
    Maria Petriccione
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    Index of symbols found in British, Italian and Austro-Hungarian maps, and guidelines that indicate to the scholar the most suitable methods for digitizing World War I military maps and interpreting their symbology.

  14. A

    Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California...

    • data.amerigeoss.org
    • catalog.data.gov
    api, pdf, zip
    Updated Sep 24, 2018
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    United States (2018). Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California (NPS, GRD, GRI, WHIS, WSCZ digital map) adapted from a U.S. Geological Survey Professional Paper map by Kinkel, Hall and Albers (1956) [Dataset]. https://data.amerigeoss.org/nl/dataset/digital-geologic-gis-map-of-the-west-shasta-copper-zinc-district-california-nps-grd-gri-wh-1956
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    pdf, zip, apiAvailable download formats
    Dataset updated
    Sep 24, 2018
    Dataset provided by
    United States
    Area covered
    California
    Description

    The Unpublished Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (wscz_geology.gdb), a 10.1 ArcMap (.mxd) map document (wscz_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (whis_geology_gis_readme.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (whis_geology_gis_readme.pdf). Please read the whis_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (wscz_geology_metadata.txt or wscz_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Whiskeytown National Recreation Area.

  15. A

    Unpublished Digital Geologic-GIS Map of parts of the Zapata Ranch and Mosca...

    • data.amerigeoss.org
    • catalog.data.gov
    api, pdf, zip
    Updated Aug 7, 2018
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    United States (2018). Unpublished Digital Geologic-GIS Map of parts of the Zapata Ranch and Mosca Pass Quadrangles, Colorado (NPS, GRD, GRI, GRSA, ZARA digital map) adapted from a U.S. Geological Survey Miscellaneous Field Studies Map by Bruce and Johnson (1991) [Dataset]. https://data.amerigeoss.org/ca/dataset/unpublished-digital-geologic-gis-map-of-parts-of-the-zapata-ranch-and-mosca-pass-quadrangl-1991
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    pdf, api, zipAvailable download formats
    Dataset updated
    Aug 7, 2018
    Dataset provided by
    United States
    Area covered
    Mosca Pass
    Description

    The Unpublished Digital Geologic-GIS Map of parts of the Zapata Ranch and Mosca Pass Quadrangles, Colorado is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (zara_geology.gdb), a 10.1 ArcMap (.mxd) map document (zara_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (grsa_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (grsa_geology_gis_readme.pdf). Please read the grsa_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). Presently, a GRI Google Earth KMZ/KML product doesn't exist for this map. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (zara_geology_metadata.txt or zara_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N. The data is within the area of interest of Great Sand Dunes National Park and Preserve.

  16. d

    Landing Page

    • datadiscoverystudio.org
    Updated Jun 27, 2018
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    Alyssa Moore (2018). Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8bfa0e19a35a4f12854dea31baf2b8fe/html
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    Dataset updated
    Jun 27, 2018
    Authors
    Alyssa Moore
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  17. Joint Military Symbology MIL-STD-2525D

    • cacgeoportal.com
    • hub.arcgis.com
    Updated Mar 21, 2022
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    Esri (2022). Joint Military Symbology MIL-STD-2525D [Dataset]. https://www.cacgeoportal.com/content/4cb91e6466444c55a8159258d42a95a2
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    Dataset updated
    Mar 21, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    An ArcGIS Mobile style (stylx) file for use with ArcGIS Pro 2.9+ and ArcGIS Runtime 100.13+ to build custom applications that incorporate the MIL-STD-2525D symbol dictionary. This style supports a configuration for modeling locations as ordered anchor points or full geometries.Required Software:ArcGIS Pro 2.9 or higherArcGIS Runtime 100.13 or higherThe style can be published from ArcGIS Pro as a web style for use with the ArcGIS API for JavaScript 4.22 or higher.

  18. a

    Cities

    • africageoportal.com
    • hub.arcgis.com
    Updated Jun 27, 2024
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    Africa GeoPortal (2024). Cities [Dataset]. https://www.africageoportal.com/datasets/africageoportal::cities
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    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    Created for the tutorial Design symbology for a thematic map.

    Source: Natural Earth and 2015 Inter-census Survey by Badan Pusat Statistik, Jakarta, via Wikipedia

  19. f

    Data from: Detailed fluvial-geomorphologic mapping of wadeable streams: a...

    • tandf.figshare.com
    application/x-rar
    Updated May 31, 2023
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    Jan Miklín; Tomáš Galia (2023). Detailed fluvial-geomorphologic mapping of wadeable streams: a proposal of universal map symbology [Dataset]. http://doi.org/10.6084/m9.figshare.5263777
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    application/x-rarAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Jan Miklín; Tomáš Galia
    License

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

    Description

    Detailed maps are important components of fluvial-geomorphological research, connecting several tools, namely field mapping of presented channel and floodplain forms and the assessment of fluvial processes and hydromorphological conditions of current river management. In this paper, we propose a universal map legend for the complex mapping of small stream channels in a detailed scale, which means including both the channel and adjacent floodplain segments. With the help of the symbology we are able to demonstrate both fluvial forms (i.e. individual features, grain size of bed sediments and fluvial deposits) and fluvial processes (i.e. contemporary trends in channels, character of lateral sediment inputs and flow characteristics) in a single map. In total, nearly 150 symbols were proposed and created as a combination of TrueType font and ArcGIS Style files. However, the principle can be used in various software. The work is accompanied by three map examples from the Nízký Jeseník Mts (the Stará Voda Stream) and the Moravskoslezské Beskydy Mts (the Lubina and Bystrý Streams).

  20. Paper Cut style for ArcGIS Pro

    • cacgeoportal.com
    Updated Sep 24, 2019
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    Esri Styles (2019). Paper Cut style for ArcGIS Pro [Dataset]. https://www.cacgeoportal.com/content/6c01b3d015ce40eca7846941d6313fe8
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    Dataset updated
    Sep 24, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Styles
    Description

    This style consists of two, and only two, symbols. One pin point symbol and one paper polygon symbol.But they can be dynamically colored in the symbology panel. Here's a one-minute how to.

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Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes [Dataset]. http://doi.org/10.21942/uva.13704643

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

Related Article
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2 scholarly articles cite this dataset (View in Google Scholar)
txtAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
University of Amsterdam / Amsterdam University of Applied Sciences
Authors
Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
License

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

Description

For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.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.

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