similar to: installing package gstat

I wonder what is the default value for the argument 'cutoff' when not specified in the variogram.formula function of gstat. Computing variogram envelops within gstat, I am comparing the results obtained with variog in geoR and variogram in gstat, and it took me a while before understanding that the cutoff default value is not the maximum distance. Can Edzer tell us about it? All the

Hi, I am new in R and trying to implement an algorithm which makes ordinary kriging by using gstat library and the predict method. I use the predict method as following: First, I create an object g: g <- gstat(id="tec", formula=TEC ~ 1, data=data) ## Create gstat object called g And then I use this object in the predict. p <- predict.gstat(g, model=mod, newdata=predGrid,

Hi, I am a student at the University of Twente ( ITC). I am using the R packages for my data analysis, but for the last few weeks now , I have been getting the error message when trying to work on variograms or krigging. Error : .onLoad failed in loadNamespace() for 'gstat', details: call: fun(...) error: .Random.seed is not an integer vector but of type 'list' Error:

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

This seems pretty basic, but I can't get any data to work except for the documented examples. When the goal is to get to SpatialPixels, here is what I see... > x <- runif(10,1,10) > y <- runif(10,1,10) > z <- rnorm(10,0,1) > MyData <- as.data.frame(cbind(x,y,z)) > library(gstat) > coordinates(MyData) <- ~x + y > gridded(MyData) <- TRUE suggested

Ciao a tutti ho appena iniziato ad utilizzare R per ora per attuare un'analisi geostatistica di dati. Volevo sapere come poter creare un oggetto gstat partendo da un file testo(che ho gia importato con read.table)e che contiene 3 colonne: x,y,value. Mi servirebbe far questo per costruire un variogramma. So che la domanda molto probabilmente per voi sara' banale....vi ringrazio

Hi ALL, With the pakage gstat How can one create a grid of points as in the meuse.grid example, from measuring sites as in the Meuse example Thanks in advance! Alain PONSERO Conservateur Réserve Naturelle de la Baie de Saint-Brieuc site de l'Etoile 22120 HILLION tel/fax : 02.96.32.31.40 <mailto:aponsero@cabri22.com> aponsero@cabri22.com

Hello I have been trying to install gstat on university's unix based system ( i am not familiar with many technical aspects of installation) but i am getting a particular error which i could not find a solution to online. Here is what the technical support guy mailed me back, i am sure someone who understands the technicalities can explain me this procedure in a more lucid way. * **Technical

Sale plano sí. Ya se que sin tener los datos y el código es un poco difícil, pero es que mis datos ocupan mucho, es imposible. Seguiré mirando por internet. Muchas gracias Rubén. Un saludo, > To: r-help-es en r-project.org > From: rubenfcasal en gmail.com > Date: Thu, 6 Aug 2015 14:21:47 +0200 > Subject: Re: [R-es] Duda interpolación (package ' gstat ') > > Hola

Hello, Is there anyone who could give me an example of how to import an ascii grid (i.e. ArcGIS exported raster) into R. I want to use it with gstat but don't know the appropriate import routine. Thanks very much for your help. Regards, femke Femke Reitsma Graduate Student (ABD) Geography Department 2181 LeFrak Hall University of Maryland College Park, MD 20742 Phone: 301-405-4121

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

Why not just use Instruction::insertAfter()? I->insertAfter(new_inst); On Mon, Sep 5, 2016 at 8:13 AM, Ryan Taylor via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Try incrementing the iterator before using. > > On Sep 5, 2016 10:26, "Simona Simona via llvm-dev" < > llvm-dev at lists.llvm.org> wrote: > >> On Mon, Sep 5, 2016 at 3:20 AM, Daniel

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

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

On Mon, Sep 5, 2016 at 3:20 AM, Daniel Berlin <dberlin at dberlin.org> wrote: > > > On Sun, Sep 4, 2016 at 1:06 PM, Simona Simona via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > >> Hello, >> >> I'm trying to add a new instruction after a given instruction in a basic >> block. >> Until LLVM 3.7, I was using the following code:

Dear Peter, thank you very much for your answer. My problem is that I need to calculate the following quantity: solve(chol(A)%*%Y) Y is a 3*3 diagonal matrix and A is a 3*3 matrix. Unfortunately one eigenvalue of A is negative. I can anyway take the square root of A but when I multiply it by Y, the imaginary part of the square root of A is dropped, and I do not get the right answer. I tried

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

Dear Members, I am trying to fit a variogram model using fit.variogram function from the gstat package. The figure showing my experimental variogram can be seen here: https://i.stack.imgur.com/UZXw4.png My code line for this operation is: > c2.vgm.fit<-fit.variogram(c2.vgm.exp,vgm(nugget=0, psill=400,model="Exp",range =40000),fit.method = 7) The system throws following error

It works! But Once I have the square root of this matrix, how do I convert it to a real (not imaginary) matrix which has the same property? Is that possible? Best, Simon >----Messaggio originale---- >Da: p.dalgaard at biostat.ku.dk >Data: 21-nov-2009 18.56 >A: "Charles C. Berry"<cberry at tajo.ucsd.edu> >Cc: "simona.racioppi at

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130502/8bc15613/attachment.pl>