search for: expcov

...norance. I have two questions: 1) which is in R the function to make a covariogram of spatial data ? 2) does anyone know if there exist the possibility in R of performing kriging with an arbitrary covariance function ? If I have well understood the Krig procedure offers only three possibilities (expcov, gauscov and sphercov) that are the common models for stationary and isotropic processes. Thanks, Paola. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help&qu...

Hello, there, I got this error when i tried to run " data.kr <- surf.gls(2, expcov, data, d=0.7);" "Error: cannot allocate vector of size 382890 Kb Execution halted" My data is 100x100 grid. the following is the summary of "data": > summary(data); x y z Min. : 1.00 Min. : 1.00 Min. :-1.0172 1st Qu.:...

Dear R-helpers! What it's means "Rank failure in Choleski decomposition" by using of function surf.gls {spatial}? Sincerely Yours Branimir K. Hackenberger

...ASS was obviously built against the current version. I just tried r-cran-spatial on a **fresh Debian sid chroot**, and get > library(spatial) > example(surf.gls) srf.gl> library(MASS) # for eqscplot srf.gl> data(topo, package="MASS") srf.gl> topo.kr <- surf.gls(2, expcov, topo, d=0.7) Error in surf.gls(2, expcov, topo, d = 0.7) : object 'VR_frset' not found so it seems to me this must affect all packages in Debian sid that were built before the release of R 3.4.0! And in fact, nlme, is affected as well: > library(nlme) > example(nlme) nlme> fm...

Am Dienstag, 25. April 2017, 08:50:34 schrieb Dirk Eddelbuettel: > On 25 April 2017 at 14:58, G?ran Brostr?m wrote: > | hello, > | > | I just installed R-3.4.0 from scratch: > | > | $ sudo apt install r-base > | > | but when I try > | > | > library(survival, lib.loc = "/usr/lib/R/library") > | > fit <- coxph(Surv(exit, event) ~ x, data =

Dear friends, When i read the R-help , i often find the following case: e.g.:surf.gls(np, covmod, x, y, z, nx = 1000, ...) #Package Spatial: Arguments: covmod: function to evaluate covariance or correlation function * ...: parameters for 'covmod'* How should i find the further information on "*...: parameters for 'covmod'*" ? I use the ?covmod, but

...0.72,0.83,0.70,0.66,0.66,0.66,0.67,0.67,0.67,0.67,0.74,0.70,0.70,0.66, 0.66,0.66,0.67,0.67,0.67,0.67,0.67,0.67,0.66,0.66,0.66,0.66,0.67,0.67,0.66,0.67,0.67,0.66,0.66,0.66,0.66, 0.66,0.66,0.66,0.67,0.66,0.66,0.66,0.66,0.66,0.66,0.66,0.66,0.66) dat <- data.frame(x, y, z) kr <- surf.gls(2, expcov, dat, d = 0.7, nx = 1000) prsurf <- prmat(kr, min(x), max(x), min(y), max(y), 500) image(prsurf, col = rainbow(1000)) One can see that local maxima/minima are found where data were measured: points(x, y, cex = 2) The surface I obtain can be visualised here: http://nsa34.casimages.com/i...

...take I can make ? last point (optional!) about krige.G I also tried to use krige.G from the grass package, but for the moment I have a strange error message : (where G is obtained with gmeta() command) user>grid2.krige<-krige.G(logtab.point,"lz",logtab.Exp,G) Error in surf.gls(0, expcov, x = point.obj$x, y = point.obj$y, z = at.val, : Rank failure in Choleski decomposition I've just reported my point and variogram definition in the options. Perhap's is there a small difference between parameters when they are passed to krige function but I don't see wich....

I'm trying to figure out how one might go about simulating a landscape (matrix) in R. For example if one wanted to generate a simulated landscape of precipitation values for some area (say a 100 X 100 matrix) they could generate 10,000 numbers using a random normal distribution with a mean and std. dev. and randomly allocate these generated numbers to the grid cells. However, this is too