Creates a time series of jpegs. One jpeg is created for each year of the map output of f2a.raster.
● Data Source:
CranContrib
● Keywords: models
● Alias: f2a.map.jpeg
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Given the output from the shape function (including the chosen shape, chosen information criteria value ic, vector of fitted values thetab, and corresponding old{x}, e.g., years), this routine calculates a set of parameters that describe the behavior of the fitted trajectory.
● Data Source:
CranContrib
● Keywords: models
● Alias: shapeparams
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Identifies the disturbance year of a single pixel or a plot location.
● Data Source:
CranContrib
● Keywords: models
● Alias: flat2annual
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Applies flat2annual to each pixel in a raster to produce time series maps of disturbance.
● Data Source:
CranContrib
● Keywords: models
● Alias: f2a.raster
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Based on the disturbance type and the shapes of the four remote sensing bands, a vector of averaged parameters is produced. Which bands are included in the average depends on both the predicted disturbance type and the shapes of the four bands.
● Data Source:
CranContrib
● Keywords: models
● Alias: flat2parameter
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getedf0
(Package: ShapeSelectForest) :
Get the Edf0 Vector for the Shape Routine
An edf0 vector is the estimated "null expected degrees of freedom" for shapes allowed by the user. It is an input of the main routine "shape" and it is used to select the best shape for a scatterplot. See Meyer (2013a) and Meyer (2013b) for further details.
● Data Source:
CranContrib
● Keywords: shape
● Alias: getedf0
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Given a predictor vector old{x}, e.g., years, and a matrix old{ymat} whose columns are response vectors, e.g., Landsat signals. The shape routine will select a shape that is the best fit for each response vector according to the Bayes information criterion (BIC) or the cone information criterion (CIC).
● Data Source:
CranContrib
● Keywords: shape
● Alias: shape
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plotshape
(Package: ShapeSelectForest) :
The Plot Routine for an Object of the Shape Routine
This routine can plot the best shape selected by the shape routine for each scatterplot of Landsat signals. It can also plot the "BIC" or "CIC" values against shapes for each scatterplot, which is a way to verify that the best shape selected has the smallest "BIC" or "CIC" value.
● Data Source:
CranContrib
● Keywords: graphic routine
● Alias: plotshape
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Applies flat2parameter to each pixel in a raster to produce maps of disturbance parameters.
● Data Source:
CranContrib
● Keywords: models
● Alias: f2p.raster
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Given a scatterplot of (x_i, y_i), i = 1,…,n, where old{x} could be a vector of years and old{y} could be a vector of Landsat signals, constrained least-squares spline fits are obtained for the following shapes:
● Data Source:
CranContrib
● Keywords: package
● Alias: ShapeSelectForest, ShapeSelectForest-package
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providing 
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