Graduate Students: Emily Ury and Alice Carter
Faculty: Dr. Justin Wright (and Dr. Emily Bernhardt helped with original proposal)
Undergraduate Course: "Field Ecology" (BIO 361)
Objectives
Part 1: Observations at the Eno River

Students will learn how to ingest their own data into the R programming environment

Students will become familiar with different types of ecological data

Students will use linear regression and multiple linear regression to examine and predict ecological data

Students will try different transformations and statistical tests to examine their data
Part 2: A Year of Eno River Data

Students will explore the StreamPulse project data platform and R package

Students will download and examine a year of Eno River monitoring data

Students will begin to examine how longterm monitoring data is used to understand field observation data for ecological analysis.
Here are some examples of the plots we made:
Binning stream parameters to understand population distributions:
Trying out various visual, statistical and modeling approaches:
Student Feedback
“I’ve never used R before, so I learned how to input data, make plots, and do regression analyses (single + multiple)...Stream data was really cool!”
“Thank you! Super helpful. Always so much to learn with R.”
“[I] learned how to fit a linear trendline to a graph.”
“I learned how to customize the data I am working with.”
Attached materials for the lesson
Two R markdown files:
 Ecology Data Analysis (Ecology_DataAnalysis.html)
 Time Series Data Analysis (DataExped2019_Timeseriesdata.html)
One data file:
 Field data from the Eno River (EnoRiverData.csv)