search for: psill

..."solve.c", line 88: singular matrix in function Usolve() "lufactor.c", line 208: singular matrix in function m_inverse() Error in predict.gstat(g, newdata = newdata, block = block, nsim = nsim, : m_inverse In addition: Warning message: In fit.variogram(vg.aux, model = vgm(psill = 0.1, model = "Gau", : Warning: singular model in variogram fit Mi función del variograma es : v.fit <- fit.variogram(vg.aux, model=vgm(psill=0.15, model='Gau', range=5000, nugget=0.05)) ¿Alguien me podría ayudar? Gracias d...

...Usolve() > > > > "lufactor.c", line 208: singular matrix in function m_inverse() > > Error in predict.gstat(g, newdata = newdata, block = block, nsim = nsim, : > > m_inverse > > In addition: Warning message: > > In fit.variogram(vg.aux, model = vgm(psill = 0.1, model = "Gau", : > > Warning: singular model in variogram fit > > > > > > Mi funci?n del variograma es : > > v.fit <- fit.variogram(vg.aux, model=vgm(psill=0.15, model='Gau', range=5000, > >...

...tat) ? Please kindly give me some hints about the results. I used variogram() to build a semivariogram plot as: tr.var=variogram(Incr~1,loc=~X+Y,data=TRI2TU,width=5) then fir the variogram to get the parameters as: v.fit = fit.variogram(tr.var,vgm(0.5,"Exp",300,1)) v.fit model psill range 1 Nug 1.484879 0.00000 2 Exp 3.476700 29.70914 This is the output of v.fit. Can anybody help me write the exponential formula for this variogram? I have the problem in understanding the result. Thanks! Leaf

...adius 45? minus radius) 8. Fig 8- semi-variogram with anisotropy (0?, 45?, 90?, 135?). Best shape is from 135? 9. Fig 9- semi-variogram fit with Gaussian Model. R code is: > v = variogram(Z~X+Y, subground, cutoff=1800, width=200, alpha=c(135)) > v.fit = fit.variogram(v, vgm(psill = 1, model="Gau", range=1800, nugget= 0, anis=c(135, 0.5))) R code: testground2 <- read.table(file="c:/work_LIDAR_USA/R_kriging_new_set/ground_26841492694149_x yz.txt", header=T) class (testground2) coordinates (testground2)=~X+Y # this makes testground a SpatialPoi...

...quot;, 100))" and fitted it using "dexp.fit <- fit.variogram(temp2, dexp, fit.method=6, debug.level=0)" Occasionally I get the following error message and the model doesn't fit "Error in if (direct[direct$id == id, "is.direct"] && any(model$psill < : missing value where TRUE/FALSE needed" I don't mind that the model doesn't converge, however the error message stops the for loop I'm running at the time (and so stops my code!). Is there any way that I can suppress the error message? Sorry if this is a really simp...

...r 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 message: Error in switch(model, exponential = fit.exponential(v.object, c0 = nugget, : EXPR must be a length 1 vector Any help to know the cause of the error and avoiding it would be highly appreciated....

...28992") g <- gstat(id = "Cu", formula =Cu~1,data = data_c) g <- gstat(g, id = "S", formula = S~1,data =data_c) g <- gstat(g, id = c("Cu", "S"), model = vgm(cov(data_c$Cu,data_c$S) , "Sph", 200, 0)) g<fit.lmc(variogram(g),g,model=vgm(psill=cov(data_c$Cu,data_c$S),model="Sph",range=200,nugget=0)) k.c <- predict.gstat(g, grid,block = c(30,30,15)) Thanks and Regards, Nishani Musafer

...th a as the control a=1 while(a <= 60) { d <- read.csv(paste(f.mat[a]), header=TRUE, sep=",") coordinates(d) = ~dbl_1+dbl_2 variogram = autofitVariogram(dbl_5~1,d, model = c("Sph"), fix.values=c(NA,NA,NA), verbose = FALSE) print(variogram) print(variogram$var_model$psill[1]) print(variogram$var_model$range[2]) p <- plot(variogram, main="Semi-variogram (Spherical Model)", sub=paste("Range: ",variogram$var_model$range[2])) print(p) pdf(file="as.character(paste(f.mat[a])).pdf") plot(p, main="Semi-variogram (Spherical Model)&...

...Inf .. ..$ dummy : logi FALSE .. ..$ vfn : int 1 .. ..$ weights : NULL $ model:List of 1 ..$ rv:Classes variogram.model and `data.frame': 1 obs. of 9 variables: .. ..$ model: Factor w/ 16 levels "Nug","Exp","Sph",..: 5 .. ..$ psill: num 1652 .. ..$ range: num 126 .. ..$ kappa: num 1.75 .. ..$ ang1 : num 0 .. ..$ ang2 : num 0 .. ..$ ang3 : num 0 .. ..$ anis1: num 1 .. ..$ anis2: num 1 .. ..- attr(*, "singular")= logi FALSE $ set :List of 1 ..$ average: num 1 - attr(*, "class")= chr [1:2]...