Description Usage Arguments See Also Examples
data2LCs
gets all PLC or FLC configuration from a
(N+1)D field given the LC template. The shape and
dimension of this LC template depends on coordinates
passed on by setup_LC_geometry
.
Since data2LCs
passes the LC.coordinates
array to get_LC_config
to iterate over the
entire dataset, this functional programming approach
allows userdefined light cone shapes (independent of the
shapes implemented by setup_LC_geometry
).
Just replace the $coordinates
from the "LC"
class with a userspecified LC template.
1 
field 
spatiotemporal field; either a matrix or a
3dimensional array with time t as the first
dimension, and the spatial coordinates as subsequent
dimensions. Make sure to check

LC.coordinates 
coordinates for LC shape and
dimension (usually the 
compute_LC_coordinates
,
setup_LC_geometry
1 2 3 4 5 6 7 8 9 10 11 12 13 14  set.seed(1)
AA < matrix(rnorm(200), ncol = 10)
LC_geom < setup_LC_geometry(speed = 1, horizon = list(PLC = 2, FLC = 0), shape = "cone")
bb < data2LCs(t(AA), LC.coordinates = LC_geom$coordinates)
image2(bb$PLC)
plot(density(bb$FLC))
# a time series example
data(nottem)
xx < nottem
LC_geom < setup_LC_geometry(speed = 1, horizon = list(PLC = 24, FLC = 3), space.dim = 0)
bb < data2LCs(xx, LC.coordinates = LC_geom$coordinates)
image2(bb$PLC)
plot(density(bb$FLC))

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