Hello,
I think this question asked for the same problem:
http://stackoverflow.com/questions/17214469/r-crop-raster-data-and-set-axis-limits
My proposal was to use raster::spplot or rasterVis::levelplot.
Best,
Oscar
Oscar Perpiñán Lamigueiro
Grupo de Sistemas Fotovoltaicos (IES-UPM)
Dpto. Ingeni
Michael,
On Tue, Aug 27, 2013 at 3:37 PM, Michael Sumner wrote:
> I don't get what you mean by "rectangles are closer", but maybe modify
> the aspect ratio?
> plot(a,axes=FALSE,legend=FALSE, asp = 0.2)
No, that distorts the image. The plot of the actual image is correct.
What I want is to reduce
Greetings, R helpers,
I have been using the Tps() function in the fields package to model
response surfaces for some residuals data.
But i don´t know how i can get more resolution and fill all the shape area?
I hope someone can help me.
Thank you,
Dominic
outresi <- Tps(x=as.matrix(ana),Y=re
I don't get what you mean by "rectangles are closer", but maybe modify
the aspect ratio?
plot(a,axes=FALSE,legend=FALSE, asp = 0.2)
Otherwise, you can control the margins around each plot directly with
a bit of mixing old-school and new:
par(mar = c(0.1, 0.1, 0.1, 0.1), mfrow = c(2,2))
for (i in 1
I have raster images with many more rows than columns, i.e
require(raster)
a <- raster(matrix(200,ncol=256,nrow=3171))
extent(a) <- c(0,256,0,3177)
and get too much blank space at plotting:
plot(a,axes=FALSE,legend=FALSE)
in particular if I want to display several bands in the same plot:
a <- st
On Tue, 27 Aug 2013, Pan wrote:
Dear all,
I'm quite new to spatial data processing in R and I'm getting entangled in
projection systems, I would appreciate your support to find a solution. I need
to import my custom projection in R (my.proj), create projected spatial objects
(I usedSpatialPo
Hi,
Following the advice from Tom, here you will find an example:
http://oscarperpinan.github.io/rastervis/FAQ.html#sec-7
Best,
Oscar.
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Dear Ziggy,
the spatio-temporal sum-metric variogram model is the only one that is
currently also implemented for the STSDF classes. You should be able
to coerce your STIDF to a STSDF using as(). In the STSDF case ("S"
meaning sparse), the space and time instances are stored once and an
index rela
