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)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.