Description Usage Arguments Details Value Author(s) See Also Examples
This routine will plot the full set of isotropic and anisotropic images for a given
level of decomposition either as the raw wavelet coefficients or various wavelet
variances. Both “ssMODWT” and covariance objects, “ssCovMODWT”, are
supported.
The level = j decompositions are plotted in a 2x2 matrix with...
| 1st row: | Horizontal | Diagonal |
| 2nd row: | Isotropic | Vertical |
At level = J0, there are five subfigures as the smooth, ‘LLJ’, is also
included centered in the 3rd row.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
ssMODWT |
An object of class “ |
level |
The decomposition level desired, j = 1,…,J0. |
decompType |
Either “MODWT” or “MRA” decomposition may be displayed
for |
type |
‘raw’ corresponds to the raw wavelet coefficients. ‘var’ is for a plot of the variance. |
isoSmooth |
|
showPlot |
|
showIZs |
|
col |
A vector palette of colors for the surface; if this is |
boxCol |
Outline color for perimeter box. |
title |
Add a title to the plot if desired. The default ( |
showLegend |
|
runQuiet |
|
... |
Gobbled. |
This routine uses plotMODWT2D to generate each of the individual
subfigures, which can be altered using the arguments above that are in common to
plotMODWT2D.
Please see the details in plotMODWT2D and the vignette for more information and
examples.
The final “RasterLayer” object invisibly.
Jeffrey H. Gove
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | #
# 1. creates a sampSurf object with horizontal point sampling
# 2. creates a J_0 = 3-level MODWT decomposition object
# 3. a basic plot...
#
tr = Tract(c(x = 64, y = 64), cellSize = 1) #square tract ~0.5ha
btr = bufferedTract(10, tr)
ag3m = angleGauge(3) #metric BAF
sshps = sampSurf(10, btr, iZone = 'horizontalPointIZ', angleGauge = ag3m,
topDiam = c(0,0), startSeed = 123)
modwt.hps = ssMODWT(sshps, J = 3)
## Not run:
r2 = plotLevel2D(modwt.hps, type = 'var')
## End(Not run)
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