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Data Preparation

Prepare time series for ecological memory analyses.

alignTimeSeries() mergePalaeoData()
Align and join multiple time series to a common temporal resolution
lagTimeSeries() prepareLaggedData()
Create lagged versions of time series variables

Ecological Memory Analysis

Analyze ecological memory in environmental time series.

computeMemory()
Quantifies ecological memory with Random Forest.
extractMemoryFeatures()
Extracts ecological memory features from the output of computeMemory.
plotMemory()
Plots output of computeMemory

Integration With virtualPollen

Perform large experiments from simulations generated with the package virtualPollen.

experimentToTable()
Turns the outcome of runExperiment into a long table.
plotExperiment()
Plots the output of runExperiment.
runExperiment()
Computes ecological memory patterns on simulated pollen curves produced by the virtualPollen package.

Example Data

Example data to play with.

climate
Dataframe with palaeoclimatic data.
palaeodata
Dataframe with pollen and climate data.
palaeodataLagged
Lagged data generated by prepareLaggedData.
palaeodataMemory
Output of computeMemory
pollen
Dataframe with pollen counts.