Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well as other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2019).
The site is getting filled with the following content:
- This particular dataset is used to ensure interface stability and consistency.
- Execute up-to-date versions
- How-to guides on combining the package’s capabilities with other packages are deposited on the Evolv-ED blog.
# attach library
library(divDyn)
# import example data
data(corals)
data(stages)
# calculate metrics of diversity dynamics
dd <- divDyn(corals, tax="genus", bin="stg")
# plotting
tsplot(stages, shading="series", boxes="sys", xlim=c(260,0),
ylab="Range-through diversity (genera) - 2015", ylim=c(0,230),
boxes.col="systemCol")
lines(stages$mid, dd$divRT, lwd=2)
- Splitting up vignettes to separate Tutorials
- Adding the ddPhanero case study with updates
- Package updates
- Writing a C++ library from the core functionality and porting it to Python and Julia
