| stkey | R Documentation |
Uses the supplied spatial pixel images and scalings to linearly interpolate the behaviour of the function over time, creating a trivariate density function in space-time.
stkey(start, stop, tlim, kf = NULL, tres = 64,
kftimes = NULL, fscales = NULL, window = NULL)
start |
The spatial pixel |
stop |
The pixel |
tlim |
A numeric vector of length 2 representing the temporal window i.e. the time interval over which the interpolation takes place. |
kf |
A |
tres |
The resolution of the resulting array in the time dimension (default is 64). |
kftimes |
A vector of times that position the interim keyframes in |
fscales |
A numeric vector of unnormalised, relative point-intensity scales. This may be provided either as of |
window |
An object of class |
This function interpolates in a pixel-wise fashion between the im objects supplied as start and stop (and kf if supplied), placing them as keyframes at the times in tlim (for start and stop) and kftimes (for the members of kf). The final result is rescaled such that its total integrated volume over the defined spatiotemporal domain is 1, yeilding a trivariate density function.
If fscale is a vector of length tres, each element will correspond to the relative overall scaling of one of the resulting interpolated pixel images. If it is of length length(kf) + 2, the scales will correspond to start, each keyframe in kf and stop in that order. The values in this argument are only interpretable in a relative sense: for example, with a single keyframe suppled to kf (in addition to the required start and stop), then fscales = c(0.5,1,0.5) has exactly the same effect on the final result as fscales = c(1,2,1), and is interpreted as yielding a point density that reaches twice the concentration at the time of the supplied keyframe relative to the start and stop margins. Supplying fscale as a vector of length tres thus allows finer control over the relative point density over time, such as for the incorporation of harmonic seasonal variation.
Like stgmix, an object of class stim giving the trivariate density. This is a list with six components:
a |
The |
v |
A pixel |
xcol |
Grid coordinates in the spatial x-axis (corresponds to each spatial |
yrow |
Grid coordinates in the spatial y-axis (corresponds to each spatial |
tlay |
Grid coordinates in the temporal axis (corresponds to the order of the spatial |
W |
A copy of |
A.K. Redmond and T.M. Davies
mn <- matrix(c(0,0,1,2,0.5,-1),nrow=2)
vr <- array(c(0.2,0,0,2,1,0,0,1,1,0.3,0.3,0.5),dim=c(2,2,3))
im1 <- sgmix(mn,c(1,2,1),shp1,p=c(0.4,0.3,0.3))
im2 <- sgmix(matrix(c(-3,0,0,-2,-1,2),nrow=2),c(3,1,1),shp1,p=c(0.4,0.3,0.3))
im3 <- sgmix(mn,vr,shp1,p0=0.1)
kf1 <- stkey(start=im1,stop=im2,tlim=c(5,20),window=shp1)
plot(kf1)
kf2 <- stkey(start=im1,stop=im1,tlim=c(0,15),kf=solist(im1,im1),kftimes=c(2,8),
fscale=c(1,2,1.5,1),window=shp1)
plot(kf2,fix.range=TRUE)
kf3 <- stkey(start=im1,stop=im2,tlim=c(0,20),kf=solist(im1,im2),kftimes=c(8,12),
fscale=c(1,2,2,1),window=shp1)
plot(kf3,fix.range=TRUE)
ff <- c(sin((1:64)/3)+1.5)
plot(ff,type="l")
kf4 <- stkey(start=im1,stop=im2,kf=solist(im3),kftimes=25,tlim=c(0,50),fscale=ff,window=shp1)
plot(kf4,fix.range=TRUE)
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