The intrinsic predictability of ecological time series and its potential to guide forecasting
This repository contains code and data needed to reproduce the article:
Frank Pennekamp, Alison C. Iles, Joshua Garland, Georgina Brennan, Ulrich Brose, Ursula Gaedke,
Ute Jacob, Pavel Kratina, Blake Matthews, Stephan Munch, Mark Novak, Gian Marco Palamara,
Björn C. Rall, Benjamin Rosenbaum, Andrea Tabi, Colette Ward, Richard Williams, Hao Ye, Owen L. Petchey
"The intrinsic predictability of ecological time series and its potential to guide forecasting"
accepted for Ecological Monographs.
Instructions
Simulations
The Simulations folder contains files to reproduce the logistic and Ricker map simulations and the associated EDM forecasts.
Empirical analysis
All analyses were done in R. The data to reproduce the empirical analyses is available in the Data folder.
Please cite the datasets according to the references provided in the article and the reproducible reports.
The Code folder contains an RMD file to reproduce the analysis and an R script to calculate permutation entropy.
A reproducible report for the empirical analysis is also available as pdfs in the Report folder and all result figures
are in the folder Figs.
License
The analysis code is released under the CC-BY-4.0.