5 datasets found
  1. f

    Time cost analysis of generating tiles for the three models (in seconds).

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Lin Li; Wei Hu; Haihong Zhu; You Li; Hang Zhang (2023). Time cost analysis of generating tiles for the three models (in seconds). [Dataset]. http://doi.org/10.1371/journal.pone.0176387.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lin Li; Wei Hu; Haihong Zhu; You Li; Hang Zhang
    License

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

    Description

    Time cost analysis of generating tiles for the three models (in seconds).

  2. f

    Time cost analysis of rendering tiles for the three models (in seconds).

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Lin Li; Wei Hu; Haihong Zhu; You Li; Hang Zhang (2023). Time cost analysis of rendering tiles for the three models (in seconds). [Dataset]. http://doi.org/10.1371/journal.pone.0176387.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lin Li; Wei Hu; Haihong Zhu; You Li; Hang Zhang
    License

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

    Description

    Time cost analysis of rendering tiles for the three models (in seconds).

  3. Topographic (Vector)

    • city-of-rock-island-gis-rigov.hub.arcgis.com
    • publicinfo-ocoutil.opendata.arcgis.com
    Updated Jul 6, 2020
    + more versions
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    Esri (2020). Topographic (Vector) [Dataset]. https://city-of-rock-island-gis-rigov.hub.arcgis.com/datasets/esri::topographic-vector
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    Dataset updated
    Jul 6, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Topographic (Vector) (World Edition) web map provides a detailed vector basemap for the world symbolized with the classic Esri topographic map style including vector contours and vector hillshade for added context. This map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, administrative boundaries, and shaded relief for added context. This basemap is available in the United States Vector Basemaps gallery and uses the World Topographic Map (with Contours and Hillshade) multisource vector map style.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 layer referenced in this map.

  4. Gridded Soil Survey Geographic Database (gSSURGO)

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 30, 2023
    + more versions
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    USDA Natural Resources Conservation Service (2023). Gridded Soil Survey Geographic Database (gSSURGO) [Dataset]. http://doi.org/10.15482/USDA.ADC/1255234
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Authors
    USDA Natural Resources Conservation Service
    License

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

    Description

    This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into State-wide extents, and adding a State-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format. The raster and vector map data have a State-wide extent. The raster map data have a 10 meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data. The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria. Resources in this dataset:Resource Title: gSSURGO downloads Page. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053628#value Download gSSURGO Databases

    Other resources include introduction to gSSURGO, User Guide (PDF; 4.22 MB), SSURGO/gSSURGO ArcTools, Valu1 (Value Added Look Up) Table, Metadata, Recommended Data Citations, Technical Information, Sample gSSURGO Map Themes

  5. f

    Example abridged and anonymized Reddit posts pulled from each centroid...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Danny Valdez; Megan S. Patterson (2023). Example abridged and anonymized Reddit posts pulled from each centroid outlined in the PCA vector map. [Dataset]. http://doi.org/10.1371/journal.pdig.0000143.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Digital Health
    Authors
    Danny Valdez; Megan S. Patterson
    License

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

    Description

    Example abridged and anonymized Reddit posts pulled from each centroid outlined in the PCA vector map.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Lin Li; Wei Hu; Haihong Zhu; You Li; Hang Zhang (2023). Time cost analysis of generating tiles for the three models (in seconds). [Dataset]. http://doi.org/10.1371/journal.pone.0176387.t001

Time cost analysis of generating tiles for the three models (in seconds).

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
PLOS ONE
Authors
Lin Li; Wei Hu; Haihong Zhu; You Li; Hang Zhang
License

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

Description

Time cost analysis of generating tiles for the three models (in seconds).

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