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 long-term 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)