spaceTimePlot: Space Time plot
In nonlinearAnalysis: R package for nonlinear time series analysis

Description Usage Arguments Details Value Author(s) References Examples

The space time separation is a broadly-used method of detecting non-stationarity and temporal correlations in the time series being analyzed. The space time separation plot is also used to select a proper Theiler window by selecting a temporal separation enough to saturate the contour lines.

  spaceTimePlot(takens = NULL, time.series = NULL,
    embedding.dim = 2, time.lag = 1, max.radius = NULL,
    time.step = 1, number.time.steps = NULL,
    numberPercentages = 10, do.plot = TRUE)

  getContourLines(x)

  ## S3 method for class 'spaceTimePlot'
 plot(x, ...)

`time.series`	The original time series being analyzed.
`embedding.dim`	Integer denoting the dimension in which we shall embed the time series.
`time.lag`	Integer denoting the number of time steps that will be use to construct the Takens' vectors.
`takens`	Instead of specifying the time.series, the embedding.dim and the time.lag, the user may specify directly the Takens' vectors.
`max.radius`	Maximum neighbourhood radius in which the algorithm will look for finding neighbours. This parameter may be used to avoid heavy computations. If the user does not specify a radius, the algorithm estimates it.
`time.step`	Integer denoting the number of discrete steps between two calculations of the space time plot.
`number.time.steps`	Integer denoting the number of temporal jumps in steps of time.step in which we want to compute the space time plot.
`numberPercentages`	Number of contour lines to be computed. Each contour line represent a concrete percentage of points (see Details).
`do.plot`	Logical. If TRUE, the time space plot is shown.
`x`	A spaceTimePlot object.
`...`	Additional parameters.

Each contour line of the space time plot indicate the distance you have to go (y-axis) to find a given fraction of neighbour pairs, depending on their temporal separation (x-axis).

WARNING: The parameter number.time.steps should be used with caution since this method performs heavy computations.

A timeSpacePlot object that consist, essentially, of a matrix storing the values for each contour line. Each row stores the value for a given percentage of points. Each column stores the value of the radius you have to go to find a given fraction of neighbour pairs (the rows), depending on their temporal separation (the colums). This matrix can be accessed by using the getContourlines method.

Constantino A. Garcia

H. Kantz and T. Schreiber: Nonlinear Time series Analysis (Cambridge university press)

## Not run: 
 tak = buildTakens(sin(2*pi*0.005*(0:5000)),2,1)
 stp.test = spaceTimePlot(takens=tak,number.time.steps=400,do.plot=TRUE)
 
## End(Not run)