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    • Data used in the research titled, "Quantifying the visual-sensory landscapes qualities that contribute to cultural ecosystem services using social media and LiDAR"

    Metadata Updated: November 12, 2020

    Sample1m are the data used to estimate the Negative Binomial models. The validation dataset compares classified photographs with viewshed estimates of visible land use/cover.

    This dataset is associated with the following publication: VanBerkel, D., P. Tabrizian, M.A. Dorning, L. Smart, D. Newcomb, M. Mehaffey, A. Neale, and R.K. Meentemeyer. Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR. Ecosystem Services. Elsevier Online, New York, NY, USA, 31: 326-335, (2018).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.ecoser.2018.03.022

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1433620
    Data Last Modified 2018-04-19
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Data Dictionary https://pasteur.epa.gov/uploads/10.23719/1433620/documents/VariableDescription.xlsx
    Data Dictionary Type application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    Harvest Object Id ad0beb15-7969-45c0-9ee5-93815926399f
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:097
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.ecoser.2018.03.022
    Source Datajson Identifier True
    Source Hash b849f62ef8b74662bc0c103dac81d94967e5bb64
    Source Schema Version 1.1

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