R/P.hv.R
In adam-erickson/gapfraction: Functions for processing airborne LiDAR scans of forests
Defines functions
P.hv
Documented in
P.hv
#' Hemispherical-Voronoi Gap Fraction
#'
#' This function implements Erickson's hemispherical-Voronoi gap fraction algorithm with four common lens geometries: equi-distant, equi-angular, stereographic, and orthographic
#' @param las Path or name of LAS file. Defaults to NA.
#' @param model Hemispherical lens geometry model to use. Options include equi-distant (\code{"equidist"}), equi-angular (\code{"equiangle"}), stereographic (\code{"stereo"}), and orthographic (\code{"ortho"}). Defaults to \code{"equidist"}.
#' @param thresh.val Specifies the value to use for thresholding. Defaults to 1.25.
#' @param thresh.var Specifies the LiDAR metric to use for thresholding canopy points. Options include height, intensity, nreturn, and class. Defaults to height.
#' @param reprojection Proj4 projection string to use for reprojection. Defaults to NA.
#' @param pol.deg Specifies the polar resolution for the radial plot lines. Defaults to 5.
#' @param azi.deg Specifies the azimuthal resolution for the radial plot lines. Defaults to 45.
#' @param col Specifies the LiDAR metric to use to color points of first plot in display. Options include height, intensity, nreturn, and class. Defaults to height.
#' @param plots Boolean switch for the interactive display of plots. Defaults to FALSE.
#' @param plots.each Boolean switch for displaying individual of plots. Defaults to FALSE.
#' @param plots.save Boolean switch for the saving of plot files to the las.path folder. Defaults to FALSE.
#' @author Adam Erickson, \email{adam.erickson@@ubc.ca}
#' @references Forthcoming
#' @keywords gap fraction, voronoi, thiessen
#' @export
#' @return The results of \code{P.hv}
#' @examples
#' P.hv(las='C:/plot.las', model='equidist', thresh.val=1.25, thresh.var='height', reprojection=NA, pol.deg=5, azi.deg=45, col='height', plots=TRUE, plots.each=FALSE, plots.save=FALSE)
P.hv <- function(las=NA, model='equidist', thresh.val=1.25, thresh.var='height', reprojection=NA, pol.deg=5, azi.deg=45, col='height', plots=TRUE, plots.each=FALSE, plots.save=FALSE) {
if(length(las)==1 & any(is.na(eval(las)))) stop('Please input a full file path to the LAS file')
myColorRamp <- function(colors, values) {
v <- (values - min(values))/diff(range(values))
x <- colorRamp(colors)(v)
rgb(x[,1], x[,2], x[,3], maxColorValue=255)
}
crt2str <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- x/(sqrt(x^2+y^2+z^2)+z)
yi <- y/(sqrt(x^2+y^2+z^2)+z)
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
crt2eqd <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- (x/(sqrt(x^2+y^2)))*atan2(sqrt(x^2+y^2),z)
yi <- (y/(sqrt(x^2+y^2)))*atan2(sqrt(x^2+y^2),z)
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
crt2ort <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- x/sqrt(x^2+y^2+z^2)
yi <- y/sqrt(x^2+y^2+z^2)
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
crt2esa <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- x/sqrt(2*(x^2+y^2))*sqrt(1-(z/sqrt(x^2+y^2+z^2)))
yi <- y/sqrt(2*(x^2+y^2))*sqrt(1-(z/sqrt(x^2+y^2+z^2)))
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
deg2rad <- function(x) return(x*(pi/180))
if(!exists("las")) {
LAS <- lidR::readLAS(las)
LASfolder <- dirname(las)
LASname <- strsplit(basename(las),'\\.')[[1]][1]
} else LAS <- las
LAS <- LAS[order(LAS[,3], decreasing=FALSE),]
if(!is.na(reprojection)) {
try(if(length(reprojection) != 2) stop('Please supply input and output CRS strings in the form: c(input,output)'))
CRSin <- reprojection[1]
CRSout <- reprojection[2]
spLAS <- sp::SpatialPoints(LAS[,c(1:3)], proj4string=CRS(CRSin))
tmLAS <- sp::spTransform(spLAS, CRSobj=CRS(CRSout))
rpLAS <- sp::coordinates(tmLAS)
LAS <- cbind(rpLAS, LAS[,c(4:12)])
}
x <- (LAS[,1]-min(LAS[,1])) - (diff(range(LAS[,1]))/2)
y <- (LAS[,2]-min(LAS[,2])) - (diff(range(LAS[,2]))/2)
z <- LAS[,3]
nrows <- length(x)
m <- matrix(c(x,y,z), nrow=nrows, ncol=3, dimnames=list(c(1:nrows),c('X','Y','Z')))
col <- rep(col, nrows)
if(!any(col %in% c('height','intensity','nreturn','class'))) col <- 'forestgreen'
if(any(col == 'height')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,3])
if(any(col == 'intensity')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,4])
if(any(col == 'nreturn')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,5])
if(any(col == 'class')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,9])
thresh.var <- rep(thresh.var, nrows)
if(!any(thresh.var %in% c('height','intensity','nreturn','class'))) thresh.var <- z
if(any(thresh.var == 'height')) thresh.var <- LAS[,3]
if(any(thresh.var == 'intensity')) thresh.var <- LAS[,4]
if(any(thresh.var == 'nreturn')) thresh.var <- LAS[,5]
if(any(thresh.var == 'class')) thresh.var <- LAS[,9]
LASord <- LAS[order(LAS[,3], decreasing=FALSE),]
LAScol <- myColorRamp(colors=c('blue','green','yellow','red'), values=LASord[,3])
if(model == 'stereo') xy <- crt2str(m)
if(model == 'ortho') xy <- crt2ort(m)
if(model == 'equidist') xy <- crt2eqd(m)
if(model == 'equiangle') xy <- crt2esa(m)
md <- geometry::delaunayn(xy, full=F)
cvex <- spatstat::convexhull.xy(matrix(c(x=xy[,1], y=xy[,2]), ncol=2))
clipp <- cvex$bdry[[1]]
canopy <- ifelse(thresh.var >= thresh.val, 1, 0)
mv <- deldir::deldir(x=xy[,1], y=xy[,2], z=canopy, rw=NULL, eps=1e-09, digits=6, plotit=FALSE, suppressMsge=TRUE)
if(!is.null(mv)) {
result <- 1-(sum(mv$summary$dir.area*mv$summary$z) / mv$dir.area)
} else result <- 0
pol.res <- deg2rad(pol.deg)
azi.res <- deg2rad(azi.deg)
start <- pi/2
rp.type <- 's'
point.symbols <- 19
point.col <- col
clockwise <- TRUE
show.grid.labels <- FALSE
cex <- 1
nsets <- 1
maxlength <- diff(range(xy))/2
radial.lim <- c(0, maxlength)
ngpos <- (pi/2)/pol.res
grid.pos <- seq((pi/2)*(1/ngpos), pi/2, length.out=ngpos)
nlpos <- (2*pi)/azi.res
label.pos <- seq(0, pi*(2-2/nlpos), length.out=nlpos)
if (plots.save == TRUE) {
if(!exists("LASfolder")) stop("You can only save plots when a LAS file path is used")
pdf(file.path(LASfolder, paste(LASname,'_closure.pdf',sep='')), width=8, height=8, units='in', res=300)
par(mfrow=c(2,2), mar=c(2,2,3,2), pty='s', xpd=TRUE)
plot(LASord[,1],LASord[,2], pch=point.symbols, col=LAScol, bty='n', xlab='Latitude', ylab='Longitude', main='Cartesian Nadir')
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Delaunay')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
geometry::trimesh(md, xy, add=TRUE)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
fillcol <- ifelse(thresh.var >= thresh.val, col, NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Voronoi')
deldir::plot.tile.list(deldir::tile.list(mv), verbose=FALSE, close=TRUE, pch=NA, fillcol=fillcol, col.pts=NA, border='white',
showpoints=FALSE, add=TRUE, asp=1, clipp=clipp, alpha=0.5)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
dev.off()
}
if(plots == TRUE & plots.each == FALSE) {
par(mfrow=c(2,2), mar=c(2,2,3,2), pty='s', xpd=TRUE)
plot(LASord[,1],LASord[,2], pch=point.symbols, col=LAScol, bty='n', xlab='Latitude', ylab='Longitude', main='Cartesian Nadir')
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Delaunay')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
geometry::trimesh(md, xy, add=TRUE)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
fillcol <- ifelse(thresh.var >= thresh.val, col, NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Voronoi')
deldir::plot.tile.list(deldir::tile.list(mv), verbose=FALSE, close=TRUE, pch=NA, fillcol=fillcol, col.pts=NA, border='white',
showpoints=FALSE, add=TRUE, asp=1, clipp=clipp, alpha=0.5)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
par(mfrow=c(1,1))
}
if(plots == TRUE & plots.each == TRUE) {
par(mfrow=c(1,1))
plot(LASord[,1],LASord[,2], pch=point.symbols, col=LAScol, bty='n', xlab='Latitude', ylab='Longitude', main='Cartesian Nadir')
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Delaunay')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
geometry::trimesh(md, xy, add=TRUE)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
fillcol <- ifelse(thresh.var >= thresh.val, col, NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Voronoi')
deldir::plot.tile.list(deldir::tile.list(mv), verbose=FALSE, close=TRUE, pch=NA, fillcol=fillcol, col.pts=NA, border='white',
showpoints=FALSE, add=TRUE, asp=1, clipp=clipp, alpha=0.5)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
}
return(result)
}
adam-erickson/gapfraction documentation built on May 5, 2019, 6:57 p.m.
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Defines functions P.hv
Documented in P.hv
#' Hemispherical-Voronoi Gap Fraction
#'
#' This function implements Erickson's hemispherical-Voronoi gap fraction algorithm with four common lens geometries: equi-distant, equi-angular, stereographic, and orthographic
#' @param las Path or name of LAS file. Defaults to NA.
#' @param model Hemispherical lens geometry model to use. Options include equi-distant (\code{"equidist"}), equi-angular (\code{"equiangle"}), stereographic (\code{"stereo"}), and orthographic (\code{"ortho"}). Defaults to \code{"equidist"}.
#' @param thresh.val Specifies the value to use for thresholding. Defaults to 1.25.
#' @param thresh.var Specifies the LiDAR metric to use for thresholding canopy points. Options include height, intensity, nreturn, and class. Defaults to height.
#' @param reprojection Proj4 projection string to use for reprojection. Defaults to NA.
#' @param pol.deg Specifies the polar resolution for the radial plot lines. Defaults to 5.
#' @param azi.deg Specifies the azimuthal resolution for the radial plot lines. Defaults to 45.
#' @param col Specifies the LiDAR metric to use to color points of first plot in display. Options include height, intensity, nreturn, and class. Defaults to height.
#' @param plots Boolean switch for the interactive display of plots. Defaults to FALSE.
#' @param plots.each Boolean switch for displaying individual of plots. Defaults to FALSE.
#' @param plots.save Boolean switch for the saving of plot files to the las.path folder. Defaults to FALSE.
#' @author Adam Erickson, \email{adam.erickson@@ubc.ca}
#' @references Forthcoming
#' @keywords gap fraction, voronoi, thiessen
#' @export
#' @return The results of \code{P.hv}
#' @examples
#' P.hv(las='C:/plot.las', model='equidist', thresh.val=1.25, thresh.var='height', reprojection=NA, pol.deg=5, azi.deg=45, col='height', plots=TRUE, plots.each=FALSE, plots.save=FALSE)
P.hv <- function(las=NA, model='equidist', thresh.val=1.25, thresh.var='height', reprojection=NA, pol.deg=5, azi.deg=45, col='height', plots=TRUE, plots.each=FALSE, plots.save=FALSE) {
if(length(las)==1 & any(is.na(eval(las)))) stop('Please input a full file path to the LAS file')
myColorRamp <- function(colors, values) {
v <- (values - min(values))/diff(range(values))
x <- colorRamp(colors)(v)
rgb(x[,1], x[,2], x[,3], maxColorValue=255)
}
crt2str <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- x/(sqrt(x^2+y^2+z^2)+z)
yi <- y/(sqrt(x^2+y^2+z^2)+z)
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
crt2eqd <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- (x/(sqrt(x^2+y^2)))*atan2(sqrt(x^2+y^2),z)
yi <- (y/(sqrt(x^2+y^2)))*atan2(sqrt(x^2+y^2),z)
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
crt2ort <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- x/sqrt(x^2+y^2+z^2)
yi <- y/sqrt(x^2+y^2+z^2)
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
crt2esa <- function(m) {
x <- m[,1]
y <- m[,2]
z <- m[,3]
xi <- x/sqrt(2*(x^2+y^2))*sqrt(1-(z/sqrt(x^2+y^2+z^2)))
yi <- y/sqrt(2*(x^2+y^2))*sqrt(1-(z/sqrt(x^2+y^2+z^2)))
nrows <- length(x)
out <- matrix(c(xi,yi), nrow=nrows, ncol=2, dimnames=list(c(1:nrows),c('x','y')))
return(out)
}
deg2rad <- function(x) return(x*(pi/180))
if(!exists("las")) {
LAS <- lidR::readLAS(las)
LASfolder <- dirname(las)
LASname <- strsplit(basename(las),'\\.')[[1]][1]
} else LAS <- las
LAS <- LAS[order(LAS[,3], decreasing=FALSE),]
if(!is.na(reprojection)) {
try(if(length(reprojection) != 2) stop('Please supply input and output CRS strings in the form: c(input,output)'))
CRSin <- reprojection[1]
CRSout <- reprojection[2]
spLAS <- sp::SpatialPoints(LAS[,c(1:3)], proj4string=CRS(CRSin))
tmLAS <- sp::spTransform(spLAS, CRSobj=CRS(CRSout))
rpLAS <- sp::coordinates(tmLAS)
LAS <- cbind(rpLAS, LAS[,c(4:12)])
}
x <- (LAS[,1]-min(LAS[,1])) - (diff(range(LAS[,1]))/2)
y <- (LAS[,2]-min(LAS[,2])) - (diff(range(LAS[,2]))/2)
z <- LAS[,3]
nrows <- length(x)
m <- matrix(c(x,y,z), nrow=nrows, ncol=3, dimnames=list(c(1:nrows),c('X','Y','Z')))
col <- rep(col, nrows)
if(!any(col %in% c('height','intensity','nreturn','class'))) col <- 'forestgreen'
if(any(col == 'height')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,3])
if(any(col == 'intensity')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,4])
if(any(col == 'nreturn')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,5])
if(any(col == 'class')) col <- myColorRamp(colors=c('blue','green','yellow','red'), values=LAS[,9])
thresh.var <- rep(thresh.var, nrows)
if(!any(thresh.var %in% c('height','intensity','nreturn','class'))) thresh.var <- z
if(any(thresh.var == 'height')) thresh.var <- LAS[,3]
if(any(thresh.var == 'intensity')) thresh.var <- LAS[,4]
if(any(thresh.var == 'nreturn')) thresh.var <- LAS[,5]
if(any(thresh.var == 'class')) thresh.var <- LAS[,9]
LASord <- LAS[order(LAS[,3], decreasing=FALSE),]
LAScol <- myColorRamp(colors=c('blue','green','yellow','red'), values=LASord[,3])
if(model == 'stereo') xy <- crt2str(m)
if(model == 'ortho') xy <- crt2ort(m)
if(model == 'equidist') xy <- crt2eqd(m)
if(model == 'equiangle') xy <- crt2esa(m)
md <- geometry::delaunayn(xy, full=F)
cvex <- spatstat::convexhull.xy(matrix(c(x=xy[,1], y=xy[,2]), ncol=2))
clipp <- cvex$bdry[[1]]
canopy <- ifelse(thresh.var >= thresh.val, 1, 0)
mv <- deldir::deldir(x=xy[,1], y=xy[,2], z=canopy, rw=NULL, eps=1e-09, digits=6, plotit=FALSE, suppressMsge=TRUE)
if(!is.null(mv)) {
result <- 1-(sum(mv$summary$dir.area*mv$summary$z) / mv$dir.area)
} else result <- 0
pol.res <- deg2rad(pol.deg)
azi.res <- deg2rad(azi.deg)
start <- pi/2
rp.type <- 's'
point.symbols <- 19
point.col <- col
clockwise <- TRUE
show.grid.labels <- FALSE
cex <- 1
nsets <- 1
maxlength <- diff(range(xy))/2
radial.lim <- c(0, maxlength)
ngpos <- (pi/2)/pol.res
grid.pos <- seq((pi/2)*(1/ngpos), pi/2, length.out=ngpos)
nlpos <- (2*pi)/azi.res
label.pos <- seq(0, pi*(2-2/nlpos), length.out=nlpos)
if (plots.save == TRUE) {
if(!exists("LASfolder")) stop("You can only save plots when a LAS file path is used")
pdf(file.path(LASfolder, paste(LASname,'_closure.pdf',sep='')), width=8, height=8, units='in', res=300)
par(mfrow=c(2,2), mar=c(2,2,3,2), pty='s', xpd=TRUE)
plot(LASord[,1],LASord[,2], pch=point.symbols, col=LAScol, bty='n', xlab='Latitude', ylab='Longitude', main='Cartesian Nadir')
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Delaunay')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
geometry::trimesh(md, xy, add=TRUE)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
fillcol <- ifelse(thresh.var >= thresh.val, col, NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Voronoi')
deldir::plot.tile.list(deldir::tile.list(mv), verbose=FALSE, close=TRUE, pch=NA, fillcol=fillcol, col.pts=NA, border='white',
showpoints=FALSE, add=TRUE, asp=1, clipp=clipp, alpha=0.5)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
dev.off()
}
if(plots == TRUE & plots.each == FALSE) {
par(mfrow=c(2,2), mar=c(2,2,3,2), pty='s', xpd=TRUE)
plot(LASord[,1],LASord[,2], pch=point.symbols, col=LAScol, bty='n', xlab='Latitude', ylab='Longitude', main='Cartesian Nadir')
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Delaunay')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
geometry::trimesh(md, xy, add=TRUE)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
fillcol <- ifelse(thresh.var >= thresh.val, col, NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Voronoi')
deldir::plot.tile.list(deldir::tile.list(mv), verbose=FALSE, close=TRUE, pch=NA, fillcol=fillcol, col.pts=NA, border='white',
showpoints=FALSE, add=TRUE, asp=1, clipp=clipp, alpha=0.5)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
par(mfrow=c(1,1))
}
if(plots == TRUE & plots.each == TRUE) {
par(mfrow=c(1,1))
plot(LASord[,1],LASord[,2], pch=point.symbols, col=LAScol, bty='n', xlab='Latitude', ylab='Longitude', main='Cartesian Nadir')
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Delaunay')
points(xy[,1], xy[,2], pch=point.symbols, col=point.col)
geometry::trimesh(md, xy, add=TRUE)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
fillcol <- ifelse(thresh.var >= thresh.val, col, NA)
plot(c(-maxlength, maxlength), c(-maxlength, maxlength), type='n', axes=FALSE, xlab=NA, ylab=NA, main='Polar Voronoi')
deldir::plot.tile.list(deldir::tile.list(mv), verbose=FALSE, close=TRUE, pch=NA, fillcol=fillcol, col.pts=NA, border='white',
showpoints=FALSE, add=TRUE, asp=1, clipp=clipp, alpha=0.5)
radial.grid.hemi(labels = NA, label.pos = label.pos, radlab = FALSE, radial.lim = radial.lim, start = start,
clockwise = clockwise, label.prop = 1.1, grid.pos = grid.pos, grid.col = 'gray',
grid.bg = 'transparent', show.radial.grid = TRUE, model=model, r = NA)
}
return(result)
}
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