R/spher.purka.contour.R

In Directional: A Collection of Functions for Directional Data Analysis

spher.purka.contour <- function(theta, a, bgcol = "snow", dat = NULL, col = NULL, lat = 50, long = 50) {
  m1 <- theta
  m <- Directional::euclid.inv(m1)
  x1 <- seq(m[1] - lat, m[1] + lat, by = 0.1)
  x2 <- seq(m[2] - long, m[2] + long, by = 0.1)
  n <- length(x1)
  wa <- NULL
  for (i in 1:n) {
    w1 <- cbind(x1[i], x2)
    wa <- rbind(wa, w1)
  }
  wa <- Directional::euclid(wa)
  mat <- Directional::dpurka(wa, a, theta)
  mat <- matrix(mat, nrow = n, byrow = TRUE)
  a <- contourLines(x1, x2, mat, nlevels = 7)

  rgl::open3d()
  lati <- matrix( seq(90, -90, len = 50) * pi / 180, 50, 50, byrow = TRUE )
  longi <- matrix (seq(-180, 180, len = 50) * pi / 180, 50, 50 )
  x <- cos(lati) * cos(longi)
  y <- cos(lati) * sin(longi)
  z <- sin(lati)
  ids <- rgl::persp3d(x, y, z, col = bgcol, axes = FALSE, box = FALSE,
                      xlab = "", ylab = "", zlab = "",
                      normal_x = x, normal_y = y, normal_z = z, polygon_offset = 1)
  rgl::contourLines3d(ids, list(latitude = function(x, y, z) asin( z / sqrt(x^2 + y^2 + z^2) ) * 180 / pi,
                                longitude = function(x, y, z) atan2(y, x) * 180 / pi) )
  for ( i in 1:length(a) ) {
    y1 <- Directional::euclid( cbind( a[[ i ]]$x, a[[ i ]]$y ) )
    rgl::lines3d(y1[, 1], y1[, 2], y1[, 3], col = 4, radius = 1, size = 1)
  }
  rgl::points3d(m1[1], m1[2], m1[3], col = 3, radius = 1, size = 3)
  if ( !is.null(dat) ) {
    if ( is.null(col) )  col <- rep(2, dim(dat)[1])
    rgl::points3d(dat[, 1], dat[, 2], dat[, 3], col = col, radius = 1, size = 3)
  }
}