movpotential_ews: Description: Moving Average Potential

In earlywarnings: Early Warning Signals Toolbox for Detecting Critical Transitions in Timeseries

Description

movpotential reconstructs a potential derived from data along a gradient of a given parameter the movpotential calculates the potential for values that correspond to a particular parameter. see ref below

Usage

  movpotential_ews(X, param, sdwindow = NULL, bw = -1,
    minparam = NULL, maxparam = NULL, npoints = 50,
    thres = 0.002, std = 1, grid.size = 200, cutoff = 0.5)

Arguments

X	a vector of the X observations of the state variable of interest
param	parameter values that correspond to the X observations
sdwindow	window for smoothing kernels (over the param axis)
bw	bandwidth used for smoothing kernels
minparam	minimum value of parameter on which to estimate potential
maxparam	maximum value of parameter on which to estimate potential
npoints	number of potentials
thres	threshold for local minima to be discarded
std	std
grid.size	number of evaluation points
cutoff	the cuttof value to estimate minima and maxima in the potential Returns:

Value

A list with the following elements:

pars	values of the covariate parameter as matrix
xis	values of the x as matrix
pots	smoothed potentials
mins	minima in the densities (-potentials; neglecting local optima)
maxs	maxima in densities (-potentials; neglecting local optima)
plot	an object that displays the potential estimated in 2D

Author(s)

Based on Matlab code from Egbert van Nes modified by Leo Lahti. Implemented in early warnings package by V. Dakos.

References

Hirota, M., Holmgren, M., van Nes, E.H. & Scheffer, M. (2011). Global resilience of tropical forest and savanna to critical transitions. Science, 334, 232-235

See Also

generic_ews; ddjnonparam_ews; bdstest_ews; sensitivity_ews;surrogates_ews; ch_ews; livpotential_ews

earlywarnings documentation built on May 2, 2019, 5:48 p.m.