R for teaching ecology
summary
Undergraduate students use small Shiny apps built around the de salt differential‑equation solver to tweak parameters in Lotka‑Volterra models and see concrete outcomes: coexistence vs one species excluding the other, with visual thresholds where dynamics flip. A second Shiny app ingests eDNA count tables and metadata (demo dataset from the Pacific Ocean) to produce stacked‑bar community plots that highlight site differences in diversity. Both apps run in class and measurably reduce student confusion about math and data.
AI-written summary · about
related talks
01h 21mInteractive Data Visualization Tools in R
05mMacro invertebrate Enumeration with Shiny, R
16mR, Python, and Tableau: A Love Triangle
10mEnquiry Based Learning for Science and Engineering utilizing Bokeh
05mleafdown: Interactive Multi-layer maps in Shiny apps
23mEmpowering Decisions: Advanced Portfolio Analysis and Management through Shiny
21mSupporting Social Good Through Community-Based Data Science Education
01h 38mEffective Data Visualization
