Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R
Author(s): Mary Roseblock
Virginia Commonwealth University
1616 total view(s), 314 download(s)
Summary:
In this lesson, students will learn more about the wildlife disease known as white nose syndrome. Students will use logistic regression to predict probability of presence of little brown bats (Myotis lucifugis).
Contents:
1white_nose_syndrome_pitch.pptx(PPTX | 8 MB)
2white_nose_syndrome_pitch.mp4(MP4 | 45 MB)
3WNS_Student_Version.pdf(PDF | 656 KB)
4wns_lesson_student_version.Rmd(RMD | 6 KB)
5bat_count_data.csv(CSV | 87 KB)- 6 Ecology and Evolution - 2021 - Johnson - Longterm changes in occurrence relative abundance and reproductive fitness of 1.pdf(PDF | 2 MB)
- 7wns_lesson_instructor_version.Rmd(RMD | 7 KB)
8WNS_instructor_Version.docx(DOCX | 2 MB)- 9WNS_Student_Version.docx(DOCX | 2 MB)
- License terms
Description
Using data from a previously published paper, Long-term changes in occurrence, relative abundance, and reproductive fitness of bat species in relation to arrival of White-nose Syndrome in West Virginia, USA, students will learn more about the impact WNS has had on certain bat species. This lesson will show students how to fit a logistic regression model, assess the fit of the model, and how to interpret the coefficients.
Cite this work
Researchers should cite this work as follows:
- Roseblock, M. (2023). Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R. VCU Environmental Research Methods, QUBES Educational Resources. doi:10.25334/12F4-Z164