similar to: shapefile kriging

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]]

Dear R help; I'm currently trying to combine a large number (about 30 x 30) of large .csvs together (each at least 10000 records). They are organized by plots, hence 30 X 30, with each group of csvs in a folder which corresponds to the plot. The unmerged csvs all have the same number of columns (5). The fifth column has a different name for each csv. The number of rows is different. The

Hi everybody: Could anybody help how I solve the next problem?. I'm doing interpolation maps of tropospheric ozone of my region, and after create it using IDW, and kriging methods, I want from shapefiles (*.shx, *.shp, *.dbf, *.sbx & *.sbn ) create contour over the interpolation maps. Could anybody tell me how do it?. Thanks in advance. ###################################### Antonio

ear ALL, The last part of my thesis analysis is the cross validation. Right now I am having difficulty using the cross validation of gstat. Below are my commands with the tsport_ace as the variable: nfold <- 3 part <- sample(1:nfold, 69, replace = TRUE) sel <- (part != 1) m.model <- x2[sel, ] m.valid <- x2[-sel, ] t<- fit.variogram(v,vgm(0.0437, "Exp", 26, 0)) cv69

Hello, I have a large dataset [536436,4] I'd like to partition the dataset into 999 groups of 564 rows and output each group as a CSV files... Obviously I could do this longhand but I know it is somehow possible to write a loop to do the same thing... I'd like to group such that the first group is the first 564 rows, the second group is the second 564 rows ..... the 999th group is the

Hi, ? I am trying to write a shapefile with projection. I have my data in a data.frame called try and consists in xy coordinates and a numerical attribute value z1. ? Libraries loaded are: sp, rgdal, raster, maptools ? head(try) ???????? x?????? ??? y??? ? ? ? ? ? ? ??? z1 1 610237.1 ???????? 3375751 ???????????? 8.221 2 610236.1 ???????? 3375750 ???????????? 8.153 3 610236.1 ????????

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

Hola. Una manera puede ser tomar una lista de todos los archivos de un directorio y trabajar con ellos, puesto que ciertamente existen. ¿Cómo? Supongamos que tienes una carpeta llena de archivos csv. Entonces, puedes guardar el nombre de tus archivos en un objeto con lista_archivos<-dir() > y esto te dará todos los csv de esa carpeta (si tienes otros archivos también estarán allí, pero

Hi all, who knows how to get an ESRI Shapefile for the NUTS-2 Regions of the enlarged European Union? Particularly I want to draw maps of Germany, Poland, Czech Republik, Hungary and Austria. I've found Shapefiles for the US, Russia and other countries elsewhere in the web, but for Europe it seems really difficult. With many thanks for any hint Albrecht

data.table's fread is also fast. Not sure about error handling. But I can merge 300 csvs with a total of 0.5m lines and 50 columns in a couple of minutes versus a lifetime with read.csv or readr::read_csv On Mon, 8 Apr 2024, 16:19 Stevie Pederson, <stephen.pederson.au at gmail.com> wrote: > Hi Dave, > > That's rather frustrating. I've found vroom (from the package

Hi, I want to use map("state") and have the ecoregion shape (please see link) file projected onto this. ftp://ftp.epa.gov/wed/ecoregions/cec_na/NA_CEC_Eco_Level3.zip ftp://ftp.epa.gov/wed/ecoregions/cec_na/NA_CEC_Eco_Level3.zip Could someone please show me how; I have never messed with this sort of thing. Thanks. -- View this message in context:

My sincerest apologies, as this is a very elementary problem, but I have searched through archives and FAQs and on the web, and I am at the end of my own resources. I need to do analysis of a spatial point process occuring with four counties, using spatstat. I've had no trouble importing the shapefiles, but I can't seem to figure out what I need to do in order to use the boundary as an

Dear R help list, ? I am working on some data from a study on the habitat use and movement patterns of fish using a marine protected area in Hawaii.? We have a number of acoustic receivers in a MPA, and any time a tagged fish passes within range it records the date and time of detection.? I am trying to make bubble plots?showing the number of detections for each fish at each receiver.? I have been

Dear R Users, I have developed the following code for importing a series of zipped CSV by parallel computing. My problems are that: A) Some ZIP Files (Which contain CSVs inside) are corrupted, and cannot be opened. B) After executing parRapply I can only see the last.warning variable error, for knowing which CSV have failed in each node, but I cannot see all warnings, only 1 at a time. So: *

Hello list! I?m working on a fresh Asterisk install over CentOS7 base. I?m using ?Asterisk. The Definite guide? book as a reference. I connect and work using SSH Problem I have - I can?t connect to asterisk from remote. Getting error: $ sudo asterisk -rvvvvvv Unable to connect to remote asterisk (does /var/run/asterisk/asterisk.ctl exist?) Yes, it exist, and service runs: [asteriskpbx at

Hi All: Not sure why my previous question never got posted. Here I am seeking some help on my code. I am using the following code to run MCMC simulation on the following data using the model below: # Data matrix<-NULL > csvs<-paste("MVN", 1:2,".csv",sep="") > for (i in 1:length(csvs)){ + matrix[[i]]<- read.csv(file=csvs[i],header=TRUE) +

Dear List I am using the RandomFields package, and I have a problem when 2d-kriging, with an anisotropy, some values from an irregular network. It works well when : - 2d-kriging, without any anisotropy, some data from an irregular network - 2d-kriging, with and without anisotropy, some data from a regular network - 3d-kriging, with and without anisotropy, some data from a regular network Here is

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: Kriging

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) > >

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