Thanks Tim,
That is good to know. The settings are somewhat conservative to avoid
virtual memory use on macs (which slows things down a lot on that
platform). Still, even the default settings should beat scanning ascii
files, so there might be room for improvement. One reason might be that the
ras
G'day List,
I'm using package "ncf" to compute and plot cross-correlograms. The
documentation for plot.correl notes the syntax is plot.correlg(x, ...) with "x"
being the item of class correlog and "..."being "other arguments".
I'm interested in finding out what I can put into "other arguments"
Hello,
I used "correlogram" from "spatial" package to determine correlation scale
for my 2d data (x,y,value) but just looking with bare eye it seems that
the correlation scale varies over the domain.
How can I best determine regional correlation scales? Can someone suggest
what would the best way
Raúl,
You are not doing anything wrong. The function does not work for the few
countries for which the rasters have been split in multiple files. It is
has been fixed for the next release or 'raster'.
Thanks, Robert
On Tue, May 15, 2012 at 12:58 AM, Raúl Jiménez Rosenberg <
raul.jimenez.rosenb..
Rhys,
This returns the approximate area of each cell, which varies with latitude
as you use longitude/latitude data.
a <- area(ra, na.rm=TRUE)
to sum the area by zone (RasterLayer 'world' in your case), you can do
zonalarea <- zonal(a, world)
For a Raster object with a _planar_ (not Longitud
Some updates for the list archives:
Using
setOptions(maxmemory = 1e+09, chunksize=1e+08)
reduced predict time to about 10 hours 50 min on my system. Good! I also spent
the night converting all the GRIDS to native raster format and am trying the
next run with that setup to see if read times d
Adam Sparks writes:
> Dear all,
> I'm attempting to produce some finished product maps using R and have been
> struggling with an issue.
>
> I want to use a hillshade object created from a DEM using the hillShade()
> function as a backdrop for my raster data that I'm presenting.
>
> Behind that I
spTransform does a great job of transforming points from one CRS to
another, but what's the best way of transforming directions?
For example, the wind at a point is blowing from the SW in lat-long
coordinates. That would be -3pi/4 radians if you consider lat-long as
a cartesian coordinate system.
Hi Roger,
sorry for troubling and thanks for the very quick answer.
I did follow the guidelines from the CRAN page
# setRepositories(ind=1:2)
# install.packages('rgdal'),
but it did not work.
I was successful, however (with the same to lines of code), after
shutting down and restating R...
==
On Thu, 17 May 2012, Gabriele Cozzi wrote:
Dear all,
I am having issues installing the package "rgdal" on a Mac OS X (Lion).
# install.packages("rgdal")
actually says that there is no available package for R 2.15.0 (the version I
am using at the moment). Yet I can successfully load the rgdal
Dear all,
I am having issues installing the package "rgdal" on a Mac OS X (Lion).
# install.packages("rgdal")
actually says that there is no available package for R 2.15.0 (the
version I am using at the moment). Yet I can successfully load the rgdal
package on my old PC (also running R 2.15.0
On Thu, 17 May 2012, Hodgess, Erin wrote:
Hello again.
I'm having a little bit of trouble with spTransform (probably I'm doing it
wrong), but here is what I'm doing:
Original data frame with UTM locations near Phuket, Thailand:
test1.df
Loceast north
1 a 748.168 602.861
2 b 754.
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