Draws points on an equal area stereonet (modified from RFOC package)
earpoints(dec, inc, hsphere = "b", double = FALSE, a = list(pch = 21, col
= "black"), l = list(bg = "black"), h = list(bg = "grey"), u = list(bg =
"white"), labels = NA, pos = 4, output = FALSE, plot = TRUE,
xh = "WE")
declination of the data; it is the angle from the north
taken on an horizontal plane. It is measured clockwise from North and ranges
from 0 to 360<U+00B0> (Tauxe 2010). Values outside this range are corrected by the
incfix
function.
inclination of the data; it is the angle from the
horizontal, is positive downward, and ranges from +90<U+00B0> for straight down to
-90<U+00B0> for straight up (Tauxe, 2010). Values outside this range are corrected
by the incfix
function.
the hemisphere onto which to project the data. The default is "b" for both: this useful in the case of oriented vectors rather than lines like for paleomagnetism. Other choices are "l" and "u" for lower and upper hemisphere.
whether to plot the equivalent point to one having an inclination of 0<U+00B0>(with dec = dec +180)
list of graphical parameters to feed points() for all points, or for the points of the upper (u) and lower (l) hemisphere, and of the samples having an inclination of 0<U+00B0> (h) (the three latter override a). See ?points help page for the possible arguments. See the example for illustration, and ?merge_list for further information.
labels to each point
position of each label (see text() help page)
whether to return an output (position of the points in the stereographic projection)
whether to plot
orientation of the x axis: can be 'WE' or 'SN'.
the x,y coordinates of each point in the projection
Snyder, John P., 1987, Map Projections-a working manual, USGS-Professional Paper, 383p. pages 185-186, RFOC package
# NOT RUN {
earnet()
h <- 17
m <- 11
if(m < 10) a <- "0" else a <- ""
title(paste("Il est ", h, "h",a,m, sep = ""))
i1 <- seq(40, 100, by = 10)
i2 <- seq(0, -100, by = -10)
d1 <- rep(h * 30 + m * 0.5, length(i1))
d2 <- rep(m*6, length(i2))
inc <- c(i1,i2)
dec <- c(d1,d2)
earpoints(dec,inc)
# }
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