| slice | R Documentation |
Generate density estimates for time slices of a trip
slice(
slices,
k,
mcmc = slices$mcmc,
grid = slices$grid,
weights = slices$weights,
method = slices$method,
bandwidth = slices$bandwidth,
chains = NULL
)
slices(
type = c("primary", "intermediate"),
breaks = NULL,
mcmc = NULL,
grid = raster(),
weights = NULL,
method = c("hist", "kde"),
bandwidth = 0,
include.lowest = TRUE,
right = FALSE
)
sliceInterval(slices, k, mcmc = slices$mcmc)
sliceIndices(slices, mcmc = slices$mcmc)
slices |
an object generated by |
k |
the index of the time slice to bin. |
mcmc |
object generated by generated by
|
grid |
raster object that defines the sampling grid. |
weights |
weights for each location. |
method |
return a kernel density estimate ( |
bandwidth |
bandwidth of the kernel density estimator. |
chains |
NULL or the subset of chains to bin. |
type |
construct density rasters for |
breaks |
NULL, or a specification suitable for
|
include.lowest |
parameter to |
right |
parameter to |
These functions divide a trip into time slices, and generate location density estimates for each time slice.
The slices function defines the slices into which the trip
is divided, and whether density estimates are generated for the
primary or intermediate locations. If breaks is NULL, each
location forms a separate time slice, otherwise breaks
divides the trip into time slices in the same style as
cut.POSIXt. A default set of samples and a raster
defining the spatial grid may also be specified.
The slice function generates a density estimate for a time
slice, sliceInterval returns the corresponding time
interval, and sliceIndices returns the indices that will
yield non null raster.
slice returns the locations for time slice of the
track binned into a raster, slices returns a slices
object that defines the time slices into which to bin,
sliceInterval returns the time interval spanned by a
slice, and sliceIndices returns the valid set of indices
that will yield a raster.
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