similar to: 3d kriging et al

A majority of my data makes a kriged map perfectly using an exponential model for the semivariogram to fit my data and then going through the commands variofit() to define the model and then krige.conv() to use the model to predict values in a grid. But?one set of my data appears to be linearly correlated for the first 5000 meters and not correlated beyond that. I have been having problems

In the code to follow, I'm trying to label points with their corresponding values but have been unsuccessful after many variations to the following code. The code below creates the plot I want, I simply cannot get the black points ("+") to display the actual value. I'm guessing the problem is somewhere in the second to last line of code (starts with "pts<-..."). I

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

I'm using R for Mac OSX version 1.14 (2129) and the geoR package version 1.6-5 (the current version in the R repository). I'm running R in OS 10.4.6 on a Mac G4 iBook (933MHz, 640 MB DDR SDRAM). I searched the R archive and did not find a posting on this issue. I want to use the variog and variog4 functions of geoR to characterize the pattern of spatial autocorrelation of tree

Hi, Is there any way that I can supress error messages so that they don't stop for loops running? I'm using the gstat package and have created a variogram model for the double exponential model: "dexp <- vgm( .5, "Exp", 10,.1, add.to = vgm(.5, "Exp", 100))" and fitted it using "dexp.fit <- fit.variogram(temp2, dexp, fit.method=6,

Periodically, we will have users IMAP sessions get hung. Their client sees a message like: The server responded: 'SERVERBUG] Internal error occurred. Refer to server log for more information On the server, we see the following in the logs: IMAP(<username>): Transaction log dovecot.index.log: duplicate transaction log sequence (37) IMAP(<username>): fscking index file

Hmm looks like Ed (a.k.a oddsock) needs to post on this one ;-) <p><p>Dave St John (C.E.O.) Xstream1.com Mediacast1.com Casterclub.com ----- Original Message ----- From: "Chris G (Moguta)" <chrisg1@umbc.edu> To: <icecast@xiph.org> Sent: Sunday, October 20, 2002 3:26 PM Subject: RE: [icecast] Icecast2 Configuration <p>> I think I figured everything out

Hello Trying to develop variograms and kriged surfaces from a point file. Here is what I've done so far. library(gstat) # also loads library(sp) library(lattice) soilpts$x <- soilpts$UTM_X soilpts$y <- soilpts$UTM_Y soil.dat <- subset(soilpts, select=c(x, y, Area, BulkDensity, LOI, TP, TN, TC, Total_Mg)) dim(soil.dat) [1] 1292 7 coordinates(soil.dat) <- ~ x+y

Dear All, I run following code to estimate the blocks using cokriging ( my data set has more than 50,000 data points). All the things run finely but Once I run the predict.gstat function it gave the error message - "memory.c", line 58: can't allocate memory in function m_get(). I run this code on LINUX sever but result is same. Would any one please be able to give a solution for

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

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

I would like to add individual points and lines to a persp() plot that I generated with the geoR package. It is a kriged surface map of a field plot and I'd like to overlay my sampling points on it but am having some trouble. I loaded the scatterplot3d package, but I can't seem to use the add parameter with it. Any suggestions?

If you are getting "login with invalid or missing password" it means one of a few things : * you have not selected Icecast2 as the server type in the DSP config * you are not using the most current versions of both icecast2 and oddcast (http://www.oddsock.org/icecast2 for that) * you are using the most current oddcast, but have <icylogin>1</icylogin> in your icecast2

I have a purely samba domain: samba PDC, BDC, and a collection of clustered member servers that provide CIFS access to our underlying file system. Things are working fine, with the exception of users being able to set ACLS from Windows workstations. When they try to do so, they can search for and properly find domain members, but when they try to apply the changes, the settings simply vanish

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

Hi all, I tried to produce some kriged surfaces with geoR (latest version). The size of the grid should be around 900 x 650 cells (what I find is not a very big grid), and the number of points is around 2500. The command krige.conv stopped after arround 5 min saying it can not allocate a vector with around 1.5 billion units. Sounds reasonable. Is there a workaround? How would I partition the

Hi I'm using R(2.9.0) and gstat package under Windows to plot sample variograms. When I want to fit them, I don't have the possibility to choose Cauchy functions. Under Mathematica for example, we have it and it seems to be the best one to fit the variograms I have I tested the others functions, they can fit but I would,if possible, use the Cauchy one. If anybody knows something about

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

Soon on CRAN a new version of package gstat will emerge, which has a few minor changes and possible incompatibilities w.r.t. the previous version(s). The new gstat (0.9-23) now: + depends on sp, and uses internally with Spatial* classes from sp if data are provided in the old-fashoned way (as data.frame) + has a vignette to get you started with the classes in sp + defines krige as a generic;

Soon on CRAN a new version of package gstat will emerge, which has a few minor changes and possible incompatibilities w.r.t. the previous version(s). The new gstat (0.9-23) now: + depends on sp, and uses internally with Spatial* classes from sp if data are provided in the old-fashoned way (as data.frame) + has a vignette to get you started with the classes in sp + defines krige as a generic;