e i transformed to ASCII)
but it is too big to work with it as a raster in R (i am having memory
problems)...thats why i am trying to see if its simplier to process it
in ASCII and then bring it back to raster.
Thanks a lot!!
Ana
[[alternative HTML version deleted]]
Hi!
I am searching for a spatial package that will let me do spatial queries
between polygons (if they overlay, if they are at a certain distance). Can
anyone point me to a R package that will let me do this type of operations?
Many thanks.
--
View this message in context:
http://r-sig-geo.2731
iance to the mean when I increase rho (which
seems contradictory to expectations).
Any suggestions on how this could be achieved or improved?
Thank you!
--
Ana Nuno
___
R-sig-Geo mailing list
R-sig-Geo@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Hi!
I am creating netcdf files for climatic daily datasets for 50 years.
The problem is that I end up with huge files when trying just one point, and
I have 2000 more points to add. Am I doing something wrong or is it supposed
to be like this?
The code I am using:
# Make a few dimensions we can
Is there a way when importing a raster to R to get the field names and choose
if we have many, which should be used ?
I am using the package Raster to load the rasters to R
Many Thanks
--
View this message in context:
http://r-sig-geo.2731867.n2.nabble.com/get-raster-field-names-tp7440601p7440
When I make a sample in sp, for example a random samping of 5 points in
dataset1:
sample.dataset1=spsample(dataset1, n = 5, "random")
I have a sp object for the selected sampling...
My question is : How can I extract from dataset2 the points & data for the
coordinates(sample.dataset1) ?
The dat
e than ArcGIS, but I recommend
> also to learn Arc if You often work in spatial analysis - it's amazing
> software.
> Q-GIS is under GNU license, is very user-friendly and have many advantages
> which make it better than R in simply spatial analysis.
>
>
> Regards,
> Jac
Hi!
I am looking for a package that can give me a patch geometry (mean
size, standard deviation, ...) from a land use/cover dataset in raster
format, in R.
Similar to what FRAGTSAT does.
I've found a while ago a post in this forum concerning this same
request, however I am not able to find it aga
plot(0, 0, xlim = c(0, 1), ylim = c(0, 1), type = "n")
> sapply(seq(1, 0, -0.1), function(x)
> points(x = runif(100), y = rep(x, 100),
> col = rgb(red = 0, green = 0, blue = 1, alpha = x), pch = 16))
>
>
> HTH,
> Roman
>
>
>
>
> On Wed, Dec 28, 2011
How can I make one point graphics with transparency
These are all sp classes:
plot(polygons_area,axes=TRUE,asp=1.5,main="Title",xlab="Latitude",
ylab="Longitude")
points(observations2000,type = "p",pch=21,col="green")
points(observation1999,type = "p",pch=21,col="blue")
points(reference.points,ty
Can someone help me out with a "small" problem?
I've started using netcdf files recently, and I want to extract the
grid id and also the coordinates from a HIRHAM netcdf file.
I know how to extract a slice of dataset both in space and in time and
I also know the area that this file should cover, h
tal pop size; ratio calculates
discrepancy between simulated and real population
final<-round(ee@x/ratio) # this gives the real number of animals per
cell (total across 250 000 cells should be 1 000 000)
Finally, I'd also appreciate any comments on my approach to this simulation.
Thanks in
I'd also appreciate any comments on my approach to this
simulation. Please, do let me know about alternative approaches!
Thanks in advance!
--
Ana Nuno
___
R-sig-Geo mailing list
R-sig-Geo@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Hi
I am looking for a function/package to perform spatial correlation between
raster imagery.
Does R have any function that would do this?
Thanks,
Ana
[[alternative HTML version deleted]]
___
R-sig-Geo mailing list
R-sig-Geo@r-project.org
14 matches
Mail list logo