search for: krige

I'm performing ordinary and simple kriging from a set of non-negative values: >krige.control.sk<-krige.control(type.krige="sk",obj.model=my.variogram.model,beta=my.variogram.model$beta) >sk<-krige.conv(cadiz.geo,data=amostragem.cadiz$dia1.std,locations=as.matrix(cadiz.polygrid[,c(1,2)]),krige=krige.control.sk) krige.conv: model with constant mean krige.conv: Kri...

Juan Zwolinski wrote: > > I'm performing ordinary and simple kriging from a set of non-negative > values: > > > >krige.control.sk<-krige.control(type.krige="sk",obj.model=my.variogram.model,beta=my.variogram.model$beta) > > >sk<-krige.conv(cadiz.geo,data=amostragem.cadiz$dia1.std,locations=as.matrix(cadiz.polygrid[,c(1,2)]),krige=krige.control.sk) > krige.conv: model with constant mean...

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...

...ULL ########################### # PARAMETERS FOR KRIGING ########################### stepSpace <- 0.25 xkrig <- seq(0,xMax,stepSpace) ykrig <- seq(0,yMax,stepSpace) valuesLim <- c(0,3) colour <- rainbow(100) ############### #2D KRIGING ############### #NO ANISOTROPY->It works krige.method <- "O" values <- Kriging(krige.method=krige.method, x=xkrig,y=ykrig,grid=TRUE, model=list( list(m="exp", v=Variance,s=Range) ), given=points2,data=data) #ANISOTROPY ->doesnt work anisoMatrix<-...

Hello, I'm interested in doing Bayesian kriging using R. I see that the package geoR has a function that will allow one to do this (krige.bayes). However, my data are not in the form of points, but rather they are blocks that represent spatial averages (i.e., the number of fishing hooks per month in a given lat x long square). I am therefore interested in treating the data as spatial blocks, rather than points. I see that pack...

Greetings all, Ran into a strange problem with the krige function from geoR. The problem that I am having is that while the krige function seems to work well, the resulting predicted values are all NAs. Given the size of the datasets I am working with can't attach it, but I can provide snippets of the datasets. > casedata station year month...

Dear all, When a conventional kriging and then a contour plot is limited with a polygon (as possible with krige.conv and contour.kriging), the polygon border is displayed in black by default. > kc<-krige.conv(CZdata,loc=pred.grid,borders=czpoly,krige=krige.control(obj.m=ls)) > plot(CZcoord,xlab="x",ylab="y",type="n",asp=1) > contour(kc,loc=pred.grid,add=T) I would...

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 krigin...

Hi, everybody! i created a imagem by kriging using geoR package. I imported points from GRASS("zn", after converted to geodata "zn_geo"), the border "zn_border" and a raster mask. Then i interpolated the points by kriging and created a raster image. Now, i need export this image back to GRASS to use it in the module r.mapcalc. I can't do it. I tried use

Dear all, I would like to estimate rainfall with the krige function. First, I produce a polygon of my region of interest (where poly_test.txt is a x,y suite of points defining a polygon, obtained with the grass v.out.ascii command) : user>border_limite<-read.table("/home/lionel/rwork/poly_test.txt",header=FALSE) user>polygone<-list...

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 mete...

Hi, all, Have anyone used kringing included in R? How is it? Does it handle anisotropy data well? How does it compare with Kriging in Arc/Info? or other geostatistics software customized to do kriging or other geostatistics functions? I tried Easykriging, a geostatistics tool developed for Matlab. It has very nice GUI, but it does not provide library which i can call in my programs. so it is

Hi list, Well, this time I’ve a doubt with mapping generation. I was already able to read and plot shapefiles, plot point on this map. All this without any problems, but now I want to do something that I think, only Golden Software Surfer is capable of. I would like to plot a kriging result on the existing map (map script below). Well I looked for on the net, but I was not able to be sure of

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Hi! Im new to R and I need to interpolate a shapefile using kriging. I've been able to plot/read the shapefile using the package maptools or rgdal. I've searched the internet for sample codes but most of the kriging codes that I've found done in R is done using txtfiles or CSVs.  An example could be of great help. Thanks. [[alternative HTML version deleted]]

Hello All! I like to do some indicator kriging with R. So far I used geoR for simple and ordinary kriging. Does anybody know which package I should use? Thanks for your help! Sascha! -- Jetzt dabei sein: http://www.shortview.de/wasistshortview.php?mc=sv_ext_mf at gmx

Full_Name: Albrecht Gebhardt Version: 0.90.0 OS: Linux + Tru64 Submission from: (NULL) (143.205.61.72) This is where example(krige) from library(sgeostat) stops with R 0.90.0: krige> image(grid$x, grid$y, grid$krige$zhat, add = T) Error in length(x) == nrow(z) : comparison (1) is possible only for vector types in previous versions of R the above image() call worked, because image() did the transformation grid$krige$zh...

...analyze a set of ~ 200 soil samples collected from various eastings, northings, and depths and containing a wide range of measured hydrocarbon concentrations. Thus far, I've managed to import the data, log-transform the concentrations, assign coordinates, generate and fit a variogram model and krige the data to a 3-D grid, but I've come up hard against the limits of my R proficiency. I'm looking for helpful suggestions on: - how to visualize the 3-D grid of expected values, - how to subset the data (such as 2-d slices of the grid in the xy or xz planes), - and how to do some relat...

...And i have tried to apply to these data a kriging function. But first i need to reshape these 3 variables to have a dataframe with these and with the corresponding z values with the good coordinates. Do you know how i can do that? And i will have the same problem with the object that return the krige function (gstat package). It gives me a dataframe, and i want a matrix for the prediction. How can i do that, in order to plot it with the image function after. Thanks a lot Karine HEERAH Master 2 , océanographie et environnements marins Université Pierre et Marie Curie (Paris 6) 42 rue Salv...

Hi, I'm looking for software that can perform kriging on systems with dimensionality higher than 3, say d=5. Are anyone aware of packages in R that can do this? Thanks, Eivind Sm??rgrav ------------------------------------------------------------------- The information contained in this message may be CONFIDENTIAL and is intended for the addressee only. Any unauthorised use,