Fig. 5
From: Climate change, collections and the classroom: using big data to tackle big problems
Module part 2: using data visualization and statistical analyses in R to address adaptive change. In the second part of the module, students use data on skull morphology (a, b) and genetics (c, d) to address questions about adaptive change. Students use an R script provided in the module to plot changes in skull shape from historic to contemporary times in each of the focal species (b). To examine temporal changes in genetic diversity, students qualitatively examine published data on genetic subdivision (c) and use an R script to compare levels of genetic diversity in historic and modern sampling periods (d). Actual module output generated by students is shown in (b) and (d)