| cmsc_sw | R Documentation |
Compute composite measures, GCSM, CMSC or SSIM, on spatial windows.
cmsc_sw(
x,
y,
rescale = FALSE,
xmin = NA_real_,
xmax = NA_real_,
ymin = NA_real_,
ymax = NA_real_,
ksize = 9,
globe = FALSE,
comp = "si"
)
cmsc_e1_sw(
x,
y,
rescale = FALSE,
xmin = NA_real_,
xmax = NA_real_,
ymin = NA_real_,
ymax = NA_real_,
ksize = 9,
globe = FALSE,
comp = "si"
)
cmsc_e2_sw(
x,
y,
rescale = FALSE,
xmin = NA_real_,
xmax = NA_real_,
ymin = NA_real_,
ymax = NA_real_,
ksize = 9,
globe = FALSE,
comp = "si"
)
gcsm_sw(
x,
y,
rescale = FALSE,
xmin = NA_real_,
xmax = NA_real_,
ymin = NA_real_,
ymax = NA_real_,
ksize = 9,
globe = FALSE,
comp = "si"
)
ssim_sw(
x,
y,
rescale = FALSE,
xmin = NA_real_,
xmax = NA_real_,
ymin = NA_real_,
ymax = NA_real_,
ksize = 11,
sigma = 1.5,
globe = FALSE,
comp = "si"
)
x |
A matrix. |
y |
The other matrix. |
rescale |
Rescale or not before computation. |
xmin, xmax, ymin, ymax |
Normalization parameters. If |
ksize |
Side length of spatial windows. |
globe |
Are data at the global scale? If |
comp |
Variable to return. If |
sigma |
Standard deviation of Gaussian weighting function depending on the distance between the cell and kernel center. |
These functions slide the spatial window over space. Missing values are
omitted. Normalization parameters are used to rescale x and y, and
determine the global minimum (min) and maximum (max). If rescale is
TRUE, x and y are rescaled to (x-xmin)/(xmax-xmin) and
(y-ymin)/(ymax-ymin); and set min=0, max=1. If FALSE,
min=min(xmin,ymin), max=max(xmax,ymax). OpenMP is used for parallel
computing.
A matrix.
x = matrix(runif(36), nrow = 6, ncol = 6)
gcsm_sw(x, x + 0.2, xmin = 0, xmax = 1, ymin = 0, ymax = 1, ksize = 3)
cmsc_sw(x, x + 0.2, xmin = 0, xmax = 1, ymin = 0, ymax = 1, ksize = 3)
ssim_sw(x, x + 0.2, xmin = 0, xmax = 1, ymin = 0, ymax = 1, ksize = 3)
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