Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 2.0 MB | |
| Created: | Jan 05, 2021 at 7:33 p.m. | |
| Last updated: | Jan 29, 2021 at 10:37 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 1065 |
| Downloads: | 227 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
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
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
README.md
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 in the context of the physical properties of lakes.
Learning Objectives
After successfully completing this exercise, you will be able to:
- Apply exploratory data analytics skills to applied questions about physical properties of lakes
Requirements to Complete Lesson
Packages
This lesson requires the installation of the following R packages to run the provided script:
-
tidyverse- Version 1.3.0. A collection of R packages designed for data science. -
lubridate- Version 1.7.9. Functions for working with dates/times.
Data and Code
The input files are made available to you in a public folder.
This lesson also requires the dataset NTER-LTER_Lake_ChemistryPhysics_Raw.csv.
The dataset used in this lesson contains data from studies on several lakes in the North Temperate Lakes District in the state of Wisconsin. The data were collected as part of the Long Term Ecological Research station created by the National Science Foundation. More information can be found here:
https://lter.limnology.wisc.edu/about/overview.
The code provided in this resource was developed using R version 3.6.1.
Related Resources
| The content of this resource is derived from | https://lter.limnology.wisc.edu/data |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment