Thanks again Robert,
In case it is of help for any body, after trying several combinations, the
fastest solution I got to calculate minimum distances to coast was:
require(PBSmapping)
wcoastline <- importShapefile("GSHHS_c_L1.shp")
w=as.matrix(wcoastline[,c('X','Y')])
# You will need x1, an obj
Hello,
I would like to modify my legend on a rasterVis levelplot() but can�t figure it
out.
I use
p <- levelplot(x_rat, main = �title", margin = FALSE, xlab = NULL, ylab = NULL,
auto.key=list(space="top", columns=3),
col.regions=c(�gray','darkgreen','tomato4','yellow','purple','blue','azure2'
Hi,
This takes a few second on my laptop with Ubuntu. So it may be an issue
with your plotting device. Have you tried to plot it in a PDF or PNG?
Best wishes,
Virgilio
El mié, 17-09-2014 a las 10:31 +0200, Agustin Diez Castillo escribió:
> Hi Jon,
> This explain why it takes so long for drawing
I've added an extra argument called "subfolder.name"
(http://plotkml.r-forge.r-project.org/layer.SpatialPoints.html) so you
can rename your sub-folders e.g.:
library(plotKML)
library(sp)
demo(meuse, echo=FALSE)
kml(meuse, colour=zinc, subfolder.name="Zinc in ppm")
system("open meuse.kml")
To
Hi Agustin,
I didn't try all your commands last time, most plotting run faster for
me (Windows 7, R 3.1-1, sp 1.0-15, rgdal 0.8-16). If you call spplot
without selecting one of the features, it might be rather slow or freeze
as they have 70 columns => 70 maps. Do you really want to plot all th
Hi Jon,
This explain why it takes so long for drawing but not why R is freezing with
ssplot.
Did you test this spplot in a no Mac machine?
In my machine when working it takes 21000 times more to draw Portugal instead
of the expected 126.
Thanks
On 16Sep, 2014, at 3:23 PM, Jon Skoien wrote:
> Hi