2 datasets found
  1. H

    Physical Properties of Lakes: Exploratory Data Analysis

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Jan 29, 2021
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    Gabriela Garcia; Kateri Salk (2021). Physical Properties of Lakes: Exploratory Data Analysis [Dataset]. https://www.hydroshare.org/resource/42052357655f4ad39f8ec7d0bef351c7
    Explore at:
    zip(2.0 MB)Available download formats
    Dataset updated
    Jan 29, 2021
    Dataset provided by
    HydroShare
    Authors
    Gabriela Garcia; Kateri Salk
    License

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

    Time period covered
    May 27, 1984 - Aug 17, 2016
    Area covered
    Description

    Exploratory Data Analysis for the Physical Properties of Lakes

    This lesson was adapted from educational material written by Dr. Kateri Salk for her Fall 2019 Hydrologic Data Analysis course at Duke University. This is the first part of a two-part exercise focusing on the physical properties of lakes.

    Introduction

    Lakes are dynamic, nonuniform bodies of water in which the physical, biological, and chemical properties interact. Lakes also contain the majority of Earth's fresh water supply. This lesson introduces exploratory data analysis using R statistical software in the context of the physical properties of lakes.

    Learning Objectives

    After successfully completing this exercise, you will be able to:

    1. Apply exploratory data analytics skills to applied questions about physical properties of lakes
    2. Communicate findings with peers through oral, visual, and written modes
  2. H

    Physical Properties of Lakes: Exploratory Data Visualization

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Jan 29, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gabriela Garcia; Kateri Salk (2021). Physical Properties of Lakes: Exploratory Data Visualization [Dataset]. https://www.hydroshare.org/resource/e22442bc4e4940609003b43747b366e0
    Explore at:
    zip(2.9 MB)Available download formats
    Dataset updated
    Jan 29, 2021
    Dataset provided by
    HydroShare
    Authors
    Gabriela Garcia; Kateri Salk
    License

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

    Time period covered
    May 27, 1984 - Aug 17, 2016
    Area covered
    Description

    Exploratory Data Visualization for the Physical Properties of Lakes

    This lesson was adapted from educational material written by Dr. Kateri Salk for her Fall 2019 Hydrologic Data Analysis course at Duke University. This is the second part of a two-part exercise focusing on the physical properties of lakes.

    Introduction

    The field of limnology, the study of inland waters, uses a unique graph format to display relationships of variables by depth in a lake (the field of oceanography uses the same convention). Depth is placed on the y-axis in reverse order and the other variable(s) are placed on the x-axis. In this manner, the graph appears as if a cross section were taken from that point in the lake, with the surface at the top of the graph. This lesson introduces physical properties of lakes, namely stratification, and its visualization using the package ggplot2.

    Learning Objectives

    After successfully completing this notebook, you will be able to:

    1. Investigate the concepts of lake stratification and mixing by analyzing monitoring data
    2. Apply data analytics skills to applied questions about physical properties of lakes
    3. Communicate findings with peers through oral, visual, and written modes
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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Gabriela Garcia; Kateri Salk (2021). Physical Properties of Lakes: Exploratory Data Analysis [Dataset]. https://www.hydroshare.org/resource/42052357655f4ad39f8ec7d0bef351c7

Physical Properties of Lakes: Exploratory Data Analysis

Explore at:
zip(2.0 MB)Available download formats
Dataset updated
Jan 29, 2021
Dataset provided by
HydroShare
Authors
Gabriela Garcia; Kateri Salk
License

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

Time period covered
May 27, 1984 - Aug 17, 2016
Area covered
Description

Exploratory Data Analysis for the Physical Properties of Lakes

This lesson was adapted from educational material written by Dr. Kateri Salk for her Fall 2019 Hydrologic Data Analysis course at Duke University. This is the first part of a two-part exercise focusing on the physical properties of lakes.

Introduction

Lakes are dynamic, nonuniform bodies of water in which the physical, biological, and chemical properties interact. Lakes also contain the majority of Earth's fresh water supply. This lesson introduces exploratory data analysis using R statistical software in the context of the physical properties of lakes.

Learning Objectives

After successfully completing this exercise, you will be able to:

  1. Apply exploratory data analytics skills to applied questions about physical properties of lakes
  2. Communicate findings with peers through oral, visual, and written modes
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