Nothing
#
# linequad.R
#
# $Revision: 1.17 $ $Date: 2022/05/21 09:52:11 $
#
# create quadscheme for a pattern of points lying *on* line segments
linequad <- function(X, Y, ..., eps=NULL, nd=1000, random=FALSE) {
epsgiven <- !is.null(eps)
if(is.lpp(X)) {
# extract local coordinates from lpp object
coo <- coords(X)
mapXY <- coo$seg
tp <- coo$tp
Xproj <- as.ppp(X)
if(!missing(Y) && !is.null(Y))
warning("Argument Y ignored when X is an lpp object")
Y <- as.psp(X)
} else if(is.ppp(X)) {
# project data points onto segments
stopifnot(is.psp(Y))
v <- project2segment(X, Y)
Xproj <- v$Xproj
mapXY <- v$mapXY
tp <- v$tp
} else stop("X should be an object of class lpp or ppp")
# handle multitype
ismulti <- is.multitype(X)
if(is.marked(X) && !ismulti)
stop("Not implemented for marked patterns")
if(ismulti) {
marx <- marks(X)
flev <- factor(levels(marx))
}
#
win <- as.owin(Y)
len <- lengths_psp(Y)
nseg <- length(len)
if(is.null(eps)) {
stopifnot(is.numeric(nd) && length(nd) == 1L & is.finite(nd) && nd > 0)
eps <- sum(len)/nd
} else
stopifnot(is.numeric(eps) && length(eps) == 1L && is.finite(eps) && eps > 0)
##
if(is.lpp(X) && spatstat.options('Clinequad')) {
L <- as.linnet(X)
W <- Frame(L)
V <- vertices(L)
nV <- npoints(V)
coordsV <- coords(V)
coordsX <- coords(X)
nX <- npoints(X)
ooX <- order(coordsX$seg)
ndumeach <- ceiling(len/eps) + 1L
ndummax <- sum(ndumeach)
maxdataperseg <- max(table(factor(coordsX$seg, levels=1:nsegments(L))))
maxscratch <- max(ndumeach) + maxdataperseg
if(!ismulti) {
if(!random) {
z <- .C(SL_Clinequad,
ns = as.integer(nseg),
from = as.integer(L$from-1L),
to = as.integer(L$to-1L),
nv = as.integer(nV),
xv = as.double(coordsV$x),
yv = as.double(coordsV$y),
eps = as.double(eps),
ndat = as.integer(nX),
sdat = as.integer(coordsX$seg[ooX]-1L),
tdat = as.double(coordsX$tp[ooX]),
wdat = as.double(numeric(nX)),
ndum = as.integer(integer(1L)),
xdum = as.double(numeric(ndummax)),
ydum = as.double(numeric(ndummax)),
sdum = as.integer(integer(ndummax)),
tdum = as.double(numeric(ndummax)),
wdum = as.double(numeric(ndummax)),
maxscratch = as.integer(maxscratch),
PACKAGE="spatstat.linnet")
} else {
z <- .C(SL_ClineRquad,
ns = as.integer(nseg),
from = as.integer(L$from-1L),
to = as.integer(L$to-1L),
nv = as.integer(nV),
xv = as.double(coordsV$x),
yv = as.double(coordsV$y),
eps = as.double(eps),
ndat = as.integer(nX),
sdat = as.integer(coordsX$seg[ooX]-1L),
tdat = as.double(coordsX$tp[ooX]),
wdat = as.double(numeric(nX)),
ndum = as.integer(integer(1L)),
xdum = as.double(numeric(ndummax)),
ydum = as.double(numeric(ndummax)),
sdum = as.integer(integer(ndummax)),
tdum = as.double(numeric(ndummax)),
wdum = as.double(numeric(ndummax)),
maxscratch = as.integer(maxscratch),
PACKAGE="spatstat.linnet")
}
seqdum <- seq_len(z$ndum)
dum <- with(z, ppp(xdum[seqdum], ydum[seqdum], window=W, check=FALSE))
wdum <- z$wdum[seqdum]
wdat <- numeric(nX)
wdat[ooX] <- z$wdat
dat <- as.ppp(X)
} else {
ntypes <- length(flev)
ndummax <- ntypes * (ndummax + nX)
maxscratch <- ntypes * maxscratch
if(!random) {
z <- .C(SL_ClineMquad,
ns = as.integer(nseg),
from = as.integer(L$from-1L),
to = as.integer(L$to-1L),
nv = as.integer(nV),
xv = as.double(coordsV$x),
yv = as.double(coordsV$y),
eps = as.double(eps),
ntypes = as.integer(ntypes),
ndat = as.integer(nX),
xdat = as.double(coordsX$x),
ydat = as.double(coordsX$y),
mdat = as.integer(as.integer(marx)-1L),
sdat = as.integer(coordsX$seg[ooX]-1L),
tdat = as.double(coordsX$tp[ooX]),
wdat = as.double(numeric(nX)),
ndum = as.integer(integer(1L)),
xdum = as.double(numeric(ndummax)),
ydum = as.double(numeric(ndummax)),
mdum = as.integer(integer(ndummax)),
sdum = as.integer(integer(ndummax)),
tdum = as.double(numeric(ndummax)),
wdum = as.double(numeric(ndummax)),
maxscratch = as.integer(maxscratch),
PACKAGE="spatstat.linnet")
} else {
z <- .C(SL_ClineRMquad,
ns = as.integer(nseg),
from = as.integer(L$from-1L),
to = as.integer(L$to-1L),
nv = as.integer(nV),
xv = as.double(coordsV$x),
yv = as.double(coordsV$y),
eps = as.double(eps),
ntypes = as.integer(ntypes),
ndat = as.integer(nX),
xdat = as.double(coordsX$x),
ydat = as.double(coordsX$y),
mdat = as.integer(as.integer(marx)-1L),
sdat = as.integer(coordsX$seg[ooX]-1L),
tdat = as.double(coordsX$tp[ooX]),
wdat = as.double(numeric(nX)),
ndum = as.integer(integer(1L)),
xdum = as.double(numeric(ndummax)),
ydum = as.double(numeric(ndummax)),
mdum = as.integer(integer(ndummax)),
sdum = as.integer(integer(ndummax)),
tdum = as.double(numeric(ndummax)),
wdum = as.double(numeric(ndummax)),
maxscratch = as.integer(maxscratch),
PACKAGE="spatstat.linnet")
}
seqdum <- seq_len(z$ndum)
marques <- factor(z$mdum[seqdum] + 1L, labels=flev)
dum <- with(z, ppp(xdum[seqdum], ydum[seqdum], marks=marques,
window=W, check=FALSE))
wdum <- z$wdum[seqdum]
wdat <- numeric(nX)
wdat[ooX] <- z$wdat
dat <- as.ppp(X)
}
} else {
## older, interpreted code
## initialise quad scheme
dat <- dum <- ppp(numeric(0), numeric(0), window=win)
wdat <- wdum <- numeric(0)
if(ismulti)
marks(dat) <- marks(dum) <- marx[integer(0)]
## consider each segment in turn
YY <- as.data.frame(Y)
for(i in 1:nseg) {
## divide segment into pieces of length eps
## with shorter bits at each end
leni <- len[i]
nwhole <- floor(leni/eps)
if(leni/eps - nwhole < 0.5 && nwhole > 2)
nwhole <- nwhole - 1
rump <- (leni - nwhole * eps)/2
brks <- c(0, rump + (0:nwhole) * eps, leni)
nbrks <- length(brks)
## dummy points at middle of each piece
sdum <- (brks[-1L] + brks[-nbrks])/2
x <- with(YY, x0[i] + (sdum/leni) * (x1[i]-x0[i]))
y <- with(YY, y0[i] + (sdum/leni) * (y1[i]-y0[i]))
newdum <- list(x=x, y=y)
ndum <- length(sdum)
IDdum <- 1:ndum
## relevant data points
relevant <- (mapXY == i)
newdat <- Xproj[relevant]
sdat <- leni * tp[relevant]
IDdat <- findInterval(sdat, brks,
rightmost.closed=TRUE, all.inside=TRUE)
## determine weights
w <- countingweights(id=c(IDdum, IDdat), areas=diff(brks))
wnewdum <- w[1:ndum]
wnewdat <- w[-(1:ndum)]
##
if(!ismulti) {
## unmarked pattern
dat <- superimpose(dat, newdat, W=win, check=FALSE)
dum <- superimpose(dum, newdum, W=win, check=FALSE)
wdat <- c(wdat, wnewdat)
wdum <- c(wdum, wnewdum)
} else {
## marked point pattern
## attach correct marks to data points
marks(newdat) <- marx[relevant]
dat <- superimpose(dat, newdat, W=win, check=FALSE)
wdat <- c(wdat, wnewdat)
newdum <- as.ppp(newdum, W=win, check=FALSE)
## replicate dummy points with each mark
## also add points at data locations with other marks
for(k in seq_len(length(flev))) {
le <- flev[k]
avoid <- (marks(newdat) != le)
dum <- superimpose(dum,
newdum %mark% le,
newdat[avoid] %mark% le,
W=win, check=FALSE)
wdum <- c(wdum, wnewdum, wnewdat[avoid])
}
}
}
}
## save parameters
dmethod <- paste("Equally spaced along each segment at spacing eps =",
signif(eps, 4),
summary(unitname(X))$plural)
if(!epsgiven)
dmethod <- paste0(dmethod, "\nOriginal parameter nd = ", nd)
wmethod <- "Counting weights based on segment length"
param <- list(dummy = list(method=dmethod),
weight = list(method=wmethod))
## make quad scheme
Qout <- quad(dat, dum, c(wdat, wdum), param=param)
## silently attach lines
attr(Qout, "lines") <- Y
return(Qout)
}
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