similar to: [R-sig-Geo] rGeo vs. gstat

The majority of the functionality present in the gstat stand-alone program (http://www.gstat.org/) is now available as a package/library for the S language (R, S-Plus), again called gstat. The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat was started 10 years ago and was released under the GPL in 1996; the

The majority of the functionality present in the gstat stand-alone program (http://www.gstat.org/) is now available as a package/library for the S language (R, S-Plus), again called gstat. The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat was started 10 years ago and was released under the GPL in 1996; the

The NOAA National Centers for Coastal Ocean Science is hiring a Computational Ecologist, a statistical/computational ecologist with experience fitting advanced spatial models to marine wildlife survey data (e.g., seabirds and marine mammal transects, fisheries trawl surveys) in R and other statistical languages. This is a full-time, long-term stable contract position. We are looking for an

Hi all, >str(df) `data.frame': 31837 obs. of 3 variables: $ x : num 410683 410700 410720 410740 410324 ... $ y : num 43136 43126 43123 43125 42709 ... $ wz: num -101.1 -94.9 -93.3 -94.5 30.8 ... >library(gstat) >g<-gstat(id="rv",form=wz~1,loc=~x+y,data=df,model=mat,nmax=500,set=list(average=1)) >str(g) List of 3 $ data :List of 1 ..$ rv:List of 10 ..

Hi, I read somewhere that when carrying out geostatistical analysis in R you should not use latitude and longitude...can anyone expand on this a little for me, and what would be the best coordinate system to use? I have my data in a geographic coordinate system, WGS84, decimal degrees....is this the wrong format for such analyses? I have also converted my data in the UTM projection and so have

I need to install some geostatistics packages that are not in the binaries, for example gstat. I downloaded rm171 and installed, and I even added precomplied packages successfully. Unfortunately, I do not know how to add packages available as gstat. If you can spare a minute, could you give me a lead on this? Any other pointers on using R in mac os x will be greatly appreciated. Thank you so much

Back on 18-June a colleague (Earl Glynn) asked: ================== I did a ?package.contents in version 1.9.0. The help file says this is deprecated, and says to "see also" Deprecated and Defunct, but what is the "new" function that replaces packge.contents? The function still seems to work, but it's just tagged as deprecated. efg ================== I have the

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

The following came up when Roger Bivand and I discussed R's name spaces and overlap in packages, in the bus to the field trip during StatGIS, last Tuesday: If two packages create the same class, say "variogram", and both are loaded, then using a method for an object of class "variogram" cannot discriminate between them and will call the method in the package loaded last.

I uploaded gstat 0.9-12 to CRAN, which has a few important changes: 1. Cokriging cross validation Cokriging cross validation is now possible with the function gstat.cv: you simply pass a multivariable gstat object, and cross validation is done for the first variable in the object. Optionally, secondary variable records at locations coinciding with the validation locations are removed. 2. Class

I uploaded gstat 0.9-12 to CRAN, which has a few important changes: 1. Cokriging cross validation Cokriging cross validation is now possible with the function gstat.cv: you simply pass a multivariable gstat object, and cross validation is done for the first variable in the object. Optionally, secondary variable records at locations coinciding with the validation locations are removed. 2. Class

Hello, # I am able to install.packages("gstat") #but when I try to upload I get an error message library(gstat) #Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : # there is no package called ‘intervals’ #In addition: Warning message: #package ‘gstat’ was built under R version 3.0.2 #Error: package or namespace load failed for ‘gstat’ what do

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,

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

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;

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