similar to: plot two variograms on a same graph

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 it has to do with plotting the variogram model. Any help on how to increase the font size and

Hello. I'm pretty much new to R and I'm trying to produce some figures. It seems to me, that R has some asynchronous way of plotting figures. When I run this code: #constructs the semivariogram of SC1929 vgm1 <- variogram(SC1929~1,~U+V,puerto.map$att.data) # trying to make new plot dev.set(which=dev.next()) plot(vgm1) title(main="Semivariogram",font.main=4)

Dear all can you help me? i have this problem: i have a dataset in a text file in a matrix of 3 columns: x, y, z where x and y are the coordinates and Z are the mesurements. How can i do a variogram with R?

Hi; I cannot find in the R html documentation a way to evaluate cross-correlation in 2D data sets. I would like to evaluate cross-correlation in a series of moving windows between two maps. i,e, specify several windows inside the complete 2D spatial matrixes and for each one ofthese windows evaluate the 2D cross-correlation (commonly conducted in the spectral domain). Thanks in advance and best

Hi all-- I'm new to R, statistics and programming, so sorry if this is a really basic question! I have plotted a directional variogram, and I want to a. overlay the omni-directional line over each directional panel b. display the directional variograms in a single panel with a legend that associated each line to each degree measurement. The line I'm using is

Hi, I would obtain a random value between two (for example between 40.15 and 56.58 I would have only one value). I'm looking for a package/a function which could do this. Could anybody help me please? Cordialement Damien Landais

Hello, I'm using the gstat package within R for an automated procedure that uses ordinary kriging. I can see that there is a logical ("singular") atrtibute of some adjusted model semivariograms: .- attr(*, "singular")= logi TRUE I cannot find documentation about the exact meaning and the implications of this attribute, and I dont know anything about the inner calculations

I would raise x,y and z in a loop but I won't raise of 1. I tried this but it doesn't work mydata=matrix(nrow=1500,ncol=3) i=1 for(x in 0:10){ for(y in 0:20){ for(z in 0:10){ mydata[i,]=c(x,y,z) i=i+1 z=z+2} y=y+4} x=x+2} And I would have something like that x y z 0 0 0 0 0 2 0 0 4 0 0 6 0 0 8 0 0 10 0 4 0 0 4 2 ... Could anybody help me? I

hello, i do the following in order to get an persp-plot x<-c(2,2,2,2,2,2,3,3,3,3) y<-c(41,41,83,83,124,166,208,208,208,208) z<-c(90366,90366,92240,92240,92240,96473,100995,100995,100995,100995) x<-data$x y<-data$y z<-matrix(data$z,length(y),length(x)) persp(x,y,z, col="gray") but i always get the error message increasing 'x' and 'y' values expected,

I am trying to do a classic R -d valgrind --vanilla < mypkg-Ex.R as described in http://cs.swan.ac.uk/~csoliver/ok-sat-library/internet_html/doc/doc/R/2.9.1/doc/manual/R-exts.html#Using-valgrind The problem is valgrind crashes imediately. I am using Ubuntu 10.04 LST (actually Biolinux) on a 64bit Dell Precision laptop with 4 core-i5 Intel processors. I have R-2-15-0 installed from source

Hola, # Hacemos el KED. Ver función "krige()": KED.rad <- krige( formula=pluvPcp~layer, # covariable -> radar locations=lluvia.rad.pluv.spdf, newdata=radarGrid, # podría ser cualquier objeto Spatial model=v.fit, # modelo de semivariograma. maxdist=Inf

Simplify how we handle lvm.conf.

  Hola,   Por favor, ¿podríais indicarme qué recursos (librerías o ideas) pueden resultar de utilidad para crear un gráfico del estilo del de la figura 3.8 del siguiente link?   http://www.tsc.uvigo.es/BIO/Bioing/ChrLDoc3.html#3.5   Actualmente estoy utilizando funciones muy básicas y la verdad es que no me encuentro muy satisfecha con el resultado.   Muchas gracias.   Eva [[alternative HTML

Hi! Is there a way to manually costumize the color legend in an spplot() - especially where to draw ticks and labels for the ticks? The reason I'm asking: Usually spplot() automatically divides the data into fitting slices and makes a color legend (also automatically). I want to assign the slices myself and have a fixed scale instead of an automatic/dynamic scale. I think what I want

Hi, please help!! I've been trying to fit variogram models using the REML method in the gstat package. Every time the Windows GUI crashes. For example library(gstat) data(meuse) x <- variogram(zinc ~ 1, ~x + y, meuse) v <- vgm(140000, "Sph", 800, nug = 10000) plot(x, model = fit.variogram(x, model = v, fit.method=5)) Other fit methods are non problematic (eg. fit.method=7

Hi! How does one change the background color of the map-panel in spplot()? Example: library(sp) data(meuse.grid) gridded(meuse.grid) = ~x+y spplot(meuse.grid, "part.a") How would I get another background-color for the map-panel (but not for the whole plot) here? Thank you! Marcel

I have lvm based (thin pool) storage on local disks. I need to move vps from one vg on one disk to another. Does it possible to migrate to localhost with blockcopy migration to another vg? I'm understand that i can move lv from one vg to another, but i don't need that. -- Vasiliy Tolstov, e-mail: v.tolstov@selfip.ru jabber: vase@selfip.ru

Dear all, I'm new on R and this mailing list. We work on spatial rainfall estimation with R and Grass. We have a problem with the krige function from the sgeostat package. We would like to limit the estimated area with a polygon limit. I use a 50 points polygon to describe my work area. The krige function work quiet well without limit. But if I use this option I have the following error

HI, I wonder does anyone have experience with doing sequential gaussian simulation with krige() function in gstat? I find it VERY slow compared to use krige() to achieve kriging function itself.. I wonder why, is that because it has to model the variogram, and do the kriging separately for each point to be simulated? so it would be N times slower to achieve the simulation than the kriging if

Hello group, For my PhD I'm working on a spatial sampling grid. I do have two data sets which I'd like to compare using cross-correlograms or cross-variograms. Is this an option in one of the R-packages? I've been searching the R-help archive and the available package-documentations, but I can't find how to do this. Thanks in advance, Ren?.