From 2bb946d34afa652d7fe29f84004deae97353c9d8 Mon Sep 17 00:00:00 2001 From: "Nes, Egbert van" <egbert.vannes@wur.nl> Date: Wed, 6 Jul 2022 13:43:38 +0000 Subject: [PATCH] Replace README.md --- README.md | 48 ++++++++++++++++++++++++------------------------ 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/README.md b/README.md index b67d4e7..2bc1dcf 100644 --- a/README.md +++ b/README.md @@ -2,40 +2,40 @@ generic_ews for MATLAB is a translation of the early warning toolbox from R to MATLAB. It includes also functions for sensitivity analysis and pvalues. -The code is used in -M. Scheffer, E.H. van Nes, D.Bird, R.K. Bocinsky, and T.A. Kohler (2021) Loss of Resilience Preceded Transformation of Prehispanic Pueblo Societies. PNAS +The code is used in Scheffer et al. 2021, and the code used in this paper is included. -# Dependency: -The software uses: - Statistics and Machine Learning Toolbox - Mathworks - Parallel Computing Toolbox (optional) - Mathworks +# Dependency: +The software uses:<ul> + <li>Statistics and Machine Learning Toolbox - Mathworks + <li>Parallel Computing Toolbox (optional) - Mathworks +</ul> # Functions: -adjustplot.m - helper function to improve the figures -ebisuzaki.m - generate null models according to the Ebisuzaki (1997) method -fishercombine.m - combine independent p values according to the Fisher method -generic_ews.m - the rolling window method for early warning signals (Dakos et al. 2008) -generic_ews_sens.m - sensitivity analysis of generic_ews -run_regime.m - the main figures of Scheffer et al. 2021 are created with this code, usage: +<ol><li>adjustplot.m - helper function to improve the figures\ +<li>ebisuzaki.m - generate null models according to the Ebisuzaki (1997) method\ +<li>fishercombine.m - combine independent p values according to the Fisher method\ +<li>generic_ews.m - the rolling window method for early warning signals (Dakos et al. 2008)\ +<li>generic_ews_sens.m - sensitivity analysis of generic_ews\ +<li>run_regime.m - the main figures of Scheffer et al. 2021 are created with this code, usage: run_regime(data,regime), where data should be a MATLAB table with - (at least) two fields: - trees - tot_hab_cell - The regime should be one of these strings: + (at least) two fields:<br> + trees<br> + tot_hab_cell<br> + The regime should be one of these strings:<br> 'BM III','P I','P II','Early P III','Late P III','P III' -violinplot.m - helper function to make a violin plot - +<li>violinplot.m - helper function to make a violin plot\ +</ol> # References: -Ebisuzaki W. (1997) "A method to estimate the statistical significance of a correlation when - the data are serially correlated." J Climate, 10, 2147-2153). -Dakos, V., et al (2008). "Slowing down as an early warning signal for abrupt climate change." - Proceedings of the National Academy of Sciences 105(38): 14308-14312 -Dakos, V., et al (2012)."Methods for Detecting Early Warnings of Critical Transitions in Time - Series Illustrated Using Simulated Ecological Data." PLoS ONE 7(7): e41010. doi:10.1371/journal.pone.0041010 +<ul><li>Ebisuzaki W. (1997) "A method to estimate the statistical significance of a correlation when the data are serially correlated." J Climate, 10, 2147-2153). +<li>Dakos, V., et al. (2008). "Slowing down as an early warning signal for abrupt climate change." Proceedings of the National Academy of Sciences 105(38): 14308-14312 +<li>Dakos, V., et al. (2012)."Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data." PLoS ONE 7(7): e41010. doi:10.1371/journal.pone.0041010 +<li>Scheffer, M., et al. (2021). "Loss of resilience preceded transformations of pre-Hispanic Pueblo societies". Proceedings of the National Academy of Sciences 118:e2024397118. +</ul> + # Contact: -- GitLab