Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series
Quantifies ecological memory with Random Forest.
Turns the outcome of runExperiment into a long table.
Extracts ecological memory features on the output of computeMemory.
Merges palaeoecological datasets with different time resolution.
Plots the output of runExperiment.
Plots response surfaces for tree-based models.
Plots output of computeMemory
Organizes time series data into lags.
Computes ecological memory patterns on simulated pollen curves produce...
Tools to quantify ecological memory in long time-series with Random Forest models (Breiman 2001 <doi:10.1023/A:1010933404324>) fitted with the 'ranger' library (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Particularly oriented to palaeoecological datasets and simulated pollen curves produced by the 'virtualPollen' package, but also applicable to other long time-series involving a set of environmental drivers and a biotic response.