Description Usage Arguments Value Author(s) See Also Examples
Plots an estimated track by month. May include confidence intervals and bathymetric contours
1 | plot.btrack(btrack, map, cex = 1.5, ci = F, bathy = NULL, add = F, bathlevels = c(-100, -200), alpha = 0.15, bymonth = T, pch = 21, bg = 4)
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btrack |
Estimated track. Track is typically estimated using make.btrack |
map |
Map object to be used. May be gshhs object created through maptools, or a gshhs coastline extracted through plotmap.r in the kftrack family of libraries |
cex |
Size of points |
ci |
Should confidence interval be plotted? |
bathy |
Should a bathymtric contour be added? The default is to plot the -100m and -200m contours. Color will be drawn from the bath.colors palette |
add |
Should this plot be added to the existing plot? |
bathlevels |
Bathymetric contours to be drawn |
alpha |
If ci = T, then this refers to the degree of transparency in the error ellipses. This is useful for eyeballing heavily used areas. |
bymonth |
Indicates if the colors of points plotted represent months. This will use |
pch |
The point type |
bg |
Background color for the point. This is only used if bymonth = F |
A plot of an estimated track.
Benjamin Galuardi
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | data(ATL)
data(fake)
data(myramps)
bathy = get.bath.data(-80, -50, 30, 50, folder = getwd(), seaonly = T, res = 1)
fit = kftrack(fake[,1:5])
par(mar=c(8,4,4,4))
fmat = prepb(fit, fake)
fmat$Lon_E = fmat$Lon_E-360
plot.btrack(fmat, map = map2, bathy = bathy)
#add scales
plot.btrack(fmat, map = map2)
blue.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan"))
#blueg.colors = colorRampPalette(c("grey10", "gray40", "gray50", "gray70", "lightsteelblue4","lightsteelblue3","lightsteelblue2","lightsteelblue1","lemonchiffon1"))
image(bathy$lon+360, bathy$lat, t(bathy$data), add=T, col = blue.colors(100), zlim = c(-10000,0))
plot.btrack(fmat, map = map2, add=T)
plot(map2$SP, col = 'khaki', pbg = 'lightblue', add=T)
.add.month.scale()
.add.bathy.scale('blue') # or 'grey'
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