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Hi Virgilio,
Many thanks. As it happens today I switched to OpenBugs and don't have this
particular problem anymore.
But thanks again,
James
From: Virgilio Gomez Rubio [virgilio.go...@uclm.es]
Sent: 06 August 2013 17:21
To: James Rooney
Cc: r-sig-geo@r-p
Joseph--
if you want a SpatialPointsDataFrame, you can use PP <- gCentroid(SP,
byid=TRUE, id=XX) then glue your attribute table from SP to the spatial
points via SpatialPointsDataFrame(PP,SP@data). If you don't have a
suitable unique id variable in SP, you can create it first.
Tom
Tom
On Tue,
Hello-
In using gCentroid with a shapefile (SpatialPolygonsDataFrame) output is a
SpatialPoints object stripped of all attribute data. Is there a way to
preserve some or all of the original data frame attributes when using
gCentroid? If not, another solution to creating center points from
polygo
Amom, you could probably offset your values and make sure you set scale to
the right value. If your lowest value is 1 and the highest value then
becomes 2, then something like
plotRGB(all.pca + 1, scale = 2)
I don't think you can use negative values in plotRGB.
Etienne
2013/8/6 amluiz
> Hello
Hello,
I'm trying to use plotRGB. But I've negative values in my rasters cells and
I get the following error:
plotRGB(all.pca)
Error in rgb(RGB[, 1], RGB[, 2], RGB[, 3], alpha = alpha, max = scale) :
color intensity -1, not in 0:255
Is there some way to solve this?
Thanks in advance,
Amom
Dear All,
I have carried out variogram analysis on geostatistical data using gstat
package of R. after rescaling my spatial coordinates, it ranges as follows
easting: min=0 and max=794.256 meters
northing: min= and max=621.8851 meters
the maximum distance between pairs of observation is 1008.754 m
On Tue, 6 Aug 2013, Mauricio Zambrano-Bigiarini wrote:
On 08/05/2013 04:37 PM, Jon Olav Skoien wrote:
Dear list,
We have a problem which appears to be a bug in either rgdal or raster,
although it could also be a bug in base R or in our understanding of how
to deal with connections.
We have a
Florence--
I might misunderstand your question, but I think that your problem is the
type in your SpatialPixelsDataFrame, not your call to plotKML. From what
you describe, I assume that the values in your SpatialPixelsDataFrame are
numeric. If you want a specific color legend, you need to use a f
On 08/05/2013 04:37 PM, Jon Olav Skoien wrote:
Dear list,
We have a problem which appears to be a bug in either rgdal or raster,
although it could also be a bug in base R or in our understanding of how
to deal with connections.
We have a process which is writing a rather large (~10-20.000) numb
You can try this:
files <- list.files(pattern='.tif$')
s <- stack(files)
names(s)
nl <- nlayers(s)
# Create Raster: values <1:
rc1<-function(x){
ifelse(x>1.000,0,
ifelse(x<=1.000,1,NA))}
r1.rc1<-calc(s,fun=rc1)
plot(r1.rc1)
r1<-r1.rc1*s
plot(r1)
# Create raster: values >=-1 and <=1
rc2<-f
Hi James,
Try to use the full path (e.g., /home/james/mycode/...) instead of just
".".
Also, from the manual page:
If 'useWINE=TRUE' is used, all paths (such as 'working.directory'
and 'model.file', must be given in native (Unix) style, but
'bugs.directory' can be given in Windows pat
Dear list,
I use the plotKML library to plot maps of simulation results (pollen maps).
It's quite great but I'd like to have some colors at some defined levels such
as :
2 -> white
4 -> green
10 -> yellow
30 -> orange
60 -> red
100 -> black
my object is a SpatialPixelsdataframe or a SpatialGridd
Elena,
Is this projected data? I previously noted that zerodist() fails to work
under certain projections
(http://r-sig-geo.2731867.n2.nabble.com/zerodist-fails-with-Projected-Data-td7584211.html).
Dr. Pebesma has noted this bug.
Jesse
-
---
On Sun, 4 Aug 2013, Duncan McPherson wrote:
An update that may shed some light on my issue:
Mysteriously it started working, I was able to import some spatial
tables form PostGIS to R, and plot them, and I was about to thank the
list and close the discussion, when it broke again. This was jus
You should use `stackApply`.
library(raster)
fn <- system.file("external/test.grd", package="raster")
s <- stack(fn, fn)
stackApply(s, indices = 1:nlayers(s), fun = mean)
Cheers,
Roman
On Tue, Aug 6, 2013 at 10:53 AM, Carlos Vázquez wrote:
> Hi to all,
> I have a problem using raster stacks
Hi to all,
I have a problem using raster stacks in R.
I have a set of raster layers with pixel reliability information for NDVI with
pixel values of 0,1,2, and 3
Since i am not interested in values 2 and 3, I want to change all 2 and 3
values in the raster layers to NA's
I am using the following
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