on wrote:
>
> On Mon, Jul 13, 2009 at 3:26 PM, Matt Oliver wrote:
>>
>>> Dear r-sig-geo,
>>>
>>> I am trying to generate a kml for an image I am producing using image().
>>> After reading about kml generation, I'm unsure if I sould be using
>>
It turns out to be a pretty significant difference.try
image(lon,lat,mcsst)
image(lonr,latr,mcsst, add = T)
On Mon, Jul 13, 2009 at 12:04 PM, Barry Rowlingson <
b.rowling...@lancaster.ac.uk> wrote:
> On Mon, Jul 13, 2009 at 4:32 PM, Matt Oliver wrote:
> > I t
, Jul 13, 2009 at 3:26 PM, Matt Oliver wrote:
> > Dear r-sig-geo,
> >
> > I am trying to generate a kml for an image I am producing using image().
> > After reading about kml generation, I'm unsure if I sould be using
> > kmlOverlay() or writeOGR, or some othe
Dear r-sig-geo,
I am trying to generate a kml for an image I am producing using image().
After reading about kml generation, I'm unsure if I sould be using
kmlOverlay() or writeOGR, or some other function.
This is the data
http://www.ceoe.udel.edu/cms/moliver/20071003.276.0237.n17.nc
require(nc
Suppose I have a matrix of classes (in this case red, green and blue) that
looks like this
image(matrix(runif(1), 100, 100), col = c("red", "blue", "green"))
The classes are not contiguous.
Suppose I now want to separate non-contiguous "red" classes into each of
their own classes.
Is there
you may want to try
require(fields)
?image.plot
On Tue, Apr 21, 2009 at 8:39 PM, wrote:
> Dear all,
>
>
>
> I am using spplot to generate some maps. The maps produced are beautiful as
> shown by the attached file, but I was wondering if it is possible to do the
> following modifications:
>
>
did you try
require(class)
?knn
there are many cluster packages available
On Mon, Mar 30, 2009 at 2:04 PM, Donal Bisanzio wrote:
> I'm a Italian PhD student. My research is focused on using GIS system to
> study vector-borne diseases. I use open-source software, GRASS and R, to
> make my analysi
Hans,
Take a look at the proj4 package, specifically project()
see http://trac.osgeo.org/proj/
There are many projections that allow you to recenter a map on a specific
longitude
For example
x <- seq(-180, 180)
y <- seq(-90, 90)
xy <- expand.grid(x, y)
plot(xy)
mer <- cbind(0, y) #prime m
you can try
memory.limit(size=4000)
only if you have 4GB of memory on the system
This is not guaranteed to solve your problem though
With big datasets like lidar, you are much better off getting access to a
64bit system with a ton of RAM (>64GB).
Cheers
Matt
On Tue, Aug 5, 2008 at 1:47 PM,
rInterp=Undefined
NoData Value=-999
Metadata:
NETCDF_VARNAME=mcsst
NETCDF_DIMENSION_time=1191379020
NETCDF_time_units=seconds since 1970-01-01 00:00:00
==Original message text===
On Fri, 01 Aug 2008 7:31:49 +1000 "Matt Oliver" wrote:
Sorry, dla
rregular grids as well though, so as a raster you would
> have to resample it in some way. Otherwise you can interpret the data as a
> SpatialPointsDataFrame and use it as you would in Matlab. Note that the
> image() function will handle irregular (but xy locked) grid spacings, so you
> c
Hi All, I have CF compliant ncdf files of sea surface temperature. The lon,
lat grid is known but not equally spaced (ie dlon increases). Is there a
clean way to get this matrix ported over to a geo-tiff or some other file
that Arc will read? I have talked with some arc users that tell me that the
Try
memory.limit(size = 4000)
On Tue, Jul 29, 2008 at 4:38 PM, Guy Serbin <[EMAIL PROTECTED]> wrote:
> My machine currently has 4 GB on it, but a lot of that's getting eaten
> by video memory and the other programs I have in memory. Also, some
> of my image cubes are 12 GB in size, so I'd nee
Try
memory.limit(size = 4000)
On Tue, Jul 29, 2008 at 4:38 PM, Guy Serbin <[EMAIL PROTECTED]> wrote:
> My machine currently has 4 GB on it, but a lot of that's getting eaten
> by video memory and the other programs I have in memory. Also, some
> of my image cubes are 12 GB in size, so I'd nee
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