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-Original Message-
From
Hi Edzer,
I didn't expect R to do magic (although it does it better than most prgs). What
surprised me was that under Linux there was no use of swap space - I hoped
memory handling would be including swap space.
Cheers
Herry
-Original Message-
From: Edzer Pebesma [mailto:edzer.pebe
Hi List,
I get an error using readGDAL{rgdal}: cannot allocate vector of size 3.1 Gb
I am using Linux 64bit (opensuse 11) with 4 gig swap and 4 gig Ram and R 2.8.0.
The load monitor shows that most of Ram is used up and then when Swap use
starts increasing, R returns the error.
Is there anyt
Thanks Edzer,
That would do it. Unfortunately I can't read the (ESRI) grid, it is too large:
raster1 has GDAL driver AIG
and has 73772 rows and 80264 columns
Error in array(dim = as.integer(c(rev(output.dim), length(band :
'dim' specifies too large an array
I 'll have to cut into smalle
Hi list,
I try to explain my problem a bit better.
1) Vector and raster have the same extent.
2) Vector data:
Several polygones with different attribute values
3) raster data:
A raster with points over the areas (and also NAs for areas where it is not
possible to have a value from polygones). T
Hi List,
How would I go about assigning values to a raster based on polygon regions in
R. Examples would be most appreciated.
I have (vector) regions assigned to a specific value. The raster has NAs and
some pixels where these values are likely to occur on ground. I need to assign
these valu
Thanks Robert
Yes, I do work with real numbers. So easiest format for simple grids I'd guess
is geotiff or something more complicated for bands.
I really only need a compressed format for mapping the grid (and saving disk
space) and I would guess that people would not (could not) process large
Hi List,
I can write out ascii grids by row (see below), but I can't figure out how to
do this in say compressed geotiff or another compressed lossless format
readable by ESRI.
require(rgdal)
require(raster)
# read and write row by row; write to ascii file
rs <- raster.from.file(system.file("e
Thanks Barry
>
> Hi List,
>
> I am unable to read in a 7.8Gb ascii grid using readAsciiGrid {maptools}/
> read.asciigrid {sp}; R runs out of memory. I have 4Gb ram and 4Gb swap, so
> things are getting tight.
>
> I am wondering if anyone has alternative options (preferably with example)
> that
)
home: www.csiro.au/people/Alexander.Herr
Webadmin ABS: http://ausbats.org.au
Sustainable Ecosystems: www.cse.csiro.au
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Hi Barry,
> Can you explain a bit more about your problem?
> * What are the inputs? Just a grid of values or are there some
starting points?
Inputs is a floating grid. Starting point is 1) the highest values in
the grid. Once first accumulation achieved, exclude this area and 2)
find highest valu
Hi List,
I am trying to accumulate gridcells to a specific value. This means I
need to extent the nearest neighbours (or search radius) to a size so
that the sum of gridcell values reaches the desired value (or stops if
sum value of gridcells/radius goes beyond a specific size). It should
start
Dear list,
I am trying to plot a grid with an overlayed height. I have a dataframe
with four variables:
x,y,gridvalue,height. The dataframe has 2.5mio observations (ie grid
points),
I assign colors through the gridvalue using map_color_gradient thus
producing:
x,y,gridvalue,height,gridcol as vari
Hi all,
from what I could devine (with the help of collegues) out of the gstat
documentation (should have looked at www.gstat.org earlier...) the
kriging variance (var1.var) is the kriging standard error ^2.
I am still trying to get Chiles (1999) as it will be able to enlighten
me on other things
Hi list/Edzer,
I am trying to determine errors in the krige output and can't find any
documentation on the details of the variance output of krige {gstats}
(variable var1.var of krige output).
How is this variance defined? Basically I am after a way to calculate
other statistics like N, standard
Hi Edzer,
png also does not increase the file size.
Following the commands. The data are located at
ftp://ftp.csiro.au/Herry, file qldproperty.Rdata.
trellis.par.get("fontsize")->fontsize
fontsize$default<-16
fontsize$points<-16
fontsize$text<-18
trellis.par.set("fonts
Thanks to Edzer and Roger,
I can now plot with increased font sizes. However, jpeg still does not
reproduce these, nor does it show up in high quality. What I would like
to do is produce some highresolution jpegs.
Any help would be appreciated
Thanx
Herry
R2.4 on Mandriva 10.2 linux.
Dr Alexan
Thanks Edzer,
k1<-krige(z ~ x+y, shp1, a1000, model=m2, nmax=40) produces the
following:
Error in eval(expr. envir. enclos): object "x" not found
In addition: Warning message:
grid has empty columns/rows in dimension 2 in: points2grid(points,
tolerance).
The grid will have empty
I was hoping to
Dear list,
I am using point data of an area as shapefile import (shp1). The
attribute data is log(AREA) as z reflecting areas size of the polygons.
Grid data (1000m pixel) as ascii grid imports (a1000) of the same
bounding box. Point and grid file stem from ArcInfo imported into R
using readShapeP
Dear list,
I am having troubles increasing the fontize when plotting a
variogram{gstat} and its model (vgm) with plot and using jpeg(). Also
the resolution in the jpeg call does not work. I am using R2.4 on
Mandriva 10.2 linux.
I can change fontsize with cex.axis in a normal plot, so I presume
Oops, option b should read
b)use Map2lines and run a for loop on the length of the Map2lines object
and circle through the colors
library(maptools)
fn<-system.file("shapes/fylk-val.shp", package="maptools")
read.shape(fn)->xx
Map2lines(xx)->s3
xylims<-attr(s3, "maplim")
plot(xylims$x, xylims$y, a
Thanks Roger,
ColorRampPalette only allows for 255 colors, but since I want to show
only the difference between each adjacent segment, a few colors will do.
So the way to do this is
a) use readShapelines and repeat the color listing for the number of
line segments (ie length(slot(s2,"lines")/numb
Hi List,
I am unsuccessfully trying to plot line segments of a shapefile with
different colors. Does anyone have a working example for segmented
lines?
Thanks
Herry
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Hi List,
I am looking at identifying spatial autocorrelation in glm.nb residuals.
Using Moran's test for residuals (lm.morantest) would require an lm
object. However, the glm.nb output does not provide this. My questions:
1) is it correct to use lm.morantest on negative binomial residuals
(nresid
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