Nothing
#'
#' heatapprox.R
#'
#' Approximation to the heat kernel kappa(u,u) on a network,
#' using only paths on the current segment.
#'
#' Copyright (c) Greg McSwiggan and Adrian Baddeley 2017-2020
#'
#' $Revision: 1.5 $ $Date: 2022/05/21 09:52:11 $
#'
heatkernelapprox <- function(X, sigma, nmax=20, floored=TRUE) {
stopifnot(is.lpp(X))
nX <- npoints(X)
if(nX == 0) return(numeric(0))
check.nvector(sigma, nX, oneok=TRUE, vname="sigma")
stopifnot(all(sigma > 0))
if(length(sigma) == 1) sigma <- rep(sigma, nX)
check.1.integer(nmax)
lenf <- lengths_psp(as.psp(domain(X)))
coo <- coords(X)
seg <- coo$seg
len <- lenf[seg]
pos <- len * coo$tp
L <- domain(X)
vv <- vertexdegree(L)
dleft <- vv[L$from[seg]]
dright <- vv[L$to[seg]]
z <- .C(SL_heatApprox,
n = as.integer(nX),
a = as.double(len),
x = as.double(pos),
y = as.double(pos), #sic
s = as.double(sigma),
degl = as.integer(dleft),
degr = as.integer(dright),
m = as.integer(nmax),
z = as.double(numeric(nX)),
PACKAGE="spatstat.linnet")
ans <- z$z
if(floored) ans <- pmax(ans, 1/volume(L))
return(ans)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.