similar to: Help on variogram.gls (nlme package)

Dear all I have tried to estimate the confidence intervals for predicted values of a nonlinear model fitted with nls. The function predict gives the predicted values and the lower and upper limits of the prediction, when the class of the object is lm or glm. When the object is derived from nls, the function predict (or predict.nls) gives only the predicted values. The se.fit and interval aguments

Dear David, Thank you very much. You have solved my problem, not of importing in the right format but the date conversion. It works for me, and if I specify the timezone tz='GMT', I get exactly the same time of the webpage. Sincerely yours, Cristina On Tue, 11 Jul 2017 07:15:43 -0700, David Winsemius wrote: >> On Jul 11, 2017, at 6:25 AM, Cristina Silva <csilva at

> On Jul 11, 2017, at 6:25 AM, Cristina Silva <csilva at ipma.pt> wrote: > > Dear Jeff, > > I am sorry, I didn't notice that it was not plain text. I hope that it is now in the correct format. I explain the problem again, now with more detais. > I am collecting the track positions of our research vessel from www.marinetraffic.com. In the page, the data appear in a

Dear Jeff, I am sorry, I didn't notice that it was not plain text. I hope that it is now in the correct format. I explain the problem again, now with more detais. I am collecting the track positions of our research vessel from www.marinetraffic.com. In the page, the data appear in a table: Timestamp Source Speed (kn) Latitude (?) Longitude (?) Course (?) Show on Map

Not reproducible. [1][2][3] If our answers don't seem to apply to your situation, it will likely be because you did not explain your question clearly. Not plain text. This is a plain text mailing list, and the best-case scenario when you let your email program send HTML is that what you saw is not what we see (worst case is your email is scrambled on our end). Have you read the

Hi, I am extracting positions data from the marine traffic website. The table has a "Timestamp" column which, in the browser, appears with the format yyyy-mm-dd HH:MM (UTC), e.g. 2017-07-10 14:04 (UTC). When I import the table, the same date "2017-07-10 14:04 (UTC)" appears as "1499696500149969650021 minutes ago", This is the more recent date and time. Older

Dear R-help, The following nlme example, from help(Variogram.gls), does not work on my system. > data(BodyWeight) > fm1 <- gls(weight ~ Time * Diet, BodyWeight) > Variogram(fm1, form = ~ Time | Rat)[1:10,] Error in FUN(X[[1]], ...) : unused argument(s) (method ...) It looks like I might not have loaded a necessary package. I did load nls and lattice (the latter not actually being

Dear R Help, I am having difficulty using Variogram within GLS to examine spatial structure of nested data. My data frame consists of ecological measurements of a forest, in which three landscape positions ("landposi") are compared. Each landscape position is replicated five times ("replicat"), and the environment is measured ("canopy", "litdepth", etc.)

  Hola,   Por favor, ¿podríais indicarme qué recursos (librerías o ideas) pueden resultar de utilidad para crear un gráfico del estilo del de la figura 3.8 del siguiente link?   http://www.tsc.uvigo.es/BIO/Bioing/ChrLDoc3.html#3.5   Actualmente estoy utilizando funciones muy básicas y la verdad es que no me encuentro muy satisfecha con el resultado.   Muchas gracias.   Eva [[alternative HTML

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(x=border_limite[,1],y=border_limite[,2])

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

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 All, Is there anybody has the experience in using variogram(gstat) ? 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

Rela??o de aprovados Mar Vermelho: ?gua Clara: ANA PAULA RODRIGUES DA SILVA, LUCAS ARAUJO GOMES FROTA, GABRIEL VICTOR BARROS FORTE DA SILVA, QUIT?RIA DA SILVA G?IS, JO?O CARLOS MOREIRA DE CARVALHO, DAYANA MARIA DE SOUSA TAVARES, MARIA JULIENE CORDEIRO, JO?O PAULO DA SILVA. TALITA FERNANDES GONCALVES, BRUNO RAMOS FERNANDES, LUIZ HENRIQUE ALVES DAMASCENO, IAGO DA SILVA NOBRE, RITA ANGELA DA SILVA.

Lista aprovados Jequi? da Praia: Tesouro: ANA CLEIDE PEREIRA DE VASCONCELOS, LUAN MARINHO DE SOUZA, FRANCISCO LEANDRO FIUSA DA SILVA, PEDRO HENRIQUE ARAUJO SANTIAGO, JO?O CARLOS MOREIRA DE CARVALHO, DANIEL DA CUNHA MAGALHAES, MARIA IVANI DE ARA?JO, JEANNIE PAULO DE SOUSA. SILVANA GALDINO FERREIRA, AUGUSTO BRUNO PEREIRA DOS SANTOS, LUCIANA ESTELITA LAFAYETTE RABELO, GRACY KELLY DE LIMA MORAIS,

Dear all can you help me? i have this problem: i have a dataset in a text file in a matrix of 3 columns: x, y, z where x and y are the coordinates and Z are the mesurements. How can i do a variogram with R?

Hello, I have data at 10 locations, in each location there are time series (T=56). Question is: when I?m fitting variogram what happens with those measures in each location? Are they taken as repeated measures? It's very important for my to know this Thanks a lot

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

Dear Users, >From previous analysis (semi-variograms using package gstat), I found spatial autocorrelation in my dataset. The best fitted model to this spatial correlation structure is the Gaussian model (Spherical, Exponential, Linear tested and comparison done by Sum of Square errors). So I used corGaus function to define this spatial autocorrelation in my lme model using the option

Dear R Helpers I'm investigation the geostatistics tools in R and have found the package 'gstat', which looks to be useful four two dimensional data. However, I usually deal with three dimensional information. I would like to compute a 3D variogram map using the variogram tool but cannot seem to get it to recognise the third (z) dimension The data file reads ok and the spatial