similar to: The step before interfacing to GRASS

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

Hi, I previously received help in extract data from a shapefile and now my question is about kernel density estimation. My objective is to have 3 kernel density plots; 2 for the each set of cases and the 3rd is the difference in kernel densities between the 2 sets of cases. Previously, I used the density function from the stats package, which worked but I wanted finer control of the bandwidth.

Hello all, I'm having troubles getting R to load data from GRASS 7. I suspect I have installed something wrong, but can't figure out what. Any suggestions for what I could look for or how to trouble shoot this? Thanks in advance for any help! After having other issues last week, we have upgraded Debian to the testing version. The other problems are solved, but now I can't get

Hi, Does anyone use spgrass6 with GRASS 7 and R? The documentation for spgrass6 states it is for GRASS6+, and if I recall correctly I saw Dr. Bivand mention that it works well with GRASS7. (There were some threads from 2009 where spgrass6 wasn't working with GRASS7 yet, but I assumed that information was out of date.) So I figured I was doing something wrong with the library and package

I am using GRASS 5.7 and R 2.0 for OS X. I have a simple xy location I am doing some theoretical work with and would like to import maps into R using the interface in order to do analyses. Yet when I attempt to do this, I get the following error: >G<-gmeta() Error in gmeta() : region for current mapset is invalid line 11: <top: 100> run "g.region" I traced the

Hi, I just imported two raster maps into R using the SPGRASS6 package, one containing elevation data and the other containing an erosion index: Kar_inc <-readRAST6("Incis_Kar", plugin=FALSE) Kar_dem <- readRAST6("DEM_Kar", plugin=FALSE) I just wanted to make a xy plot of erosion parameter vs elevation. How does this work? I don't get how to handle

Hello everybody, I am a new R & Grass user. I am interested in doing a kriging of the Temperature in a basin, based on pixel elevation (DTM). I use Grass 6.2.1 and R 2.5.1 and have installed the spgrass6 package. The DTM is called "DTM_trentino_100m" and is like this: north:5158000.0 south:5058500.0 east:1729700.0 west:1611600.0 rows:995 cols:1181 -9999.0 -9999.0 -9999.0

When I look at ppoints I see: ppoints<-function (x) { n <- length(x) if (n == 1) n <- x (1:n - 0.5)/n } However Venables & Ripley (2nd ed, p 165) say ppoints() should return (i-1/2)/n for n>=11; (i-3/8)/(n+1/4) for n<=10. The version below should work as described: ppoints<-function (x) { n <- length(x) if (n <= 10) (1:n - 0.375)/(n + 0.25) else (1:n - 0.5)/n

Dear r-bugs, Whilst playing with ppoints I discovered that when one uses it directly, occasional NA's in a vector also become data fractions: ppoints(c(1,2,NA,4)) Would it be a good idea to add a warning message as in: ppoints <- function (n, a = ifelse(n <= 10, 3/8, 1/2)) { if(any(is.na(n))) warning("'n' contains NA's") if(length(n) > 1) n <-

Dear R users, I have a list of objects of type "im" > mylist$sp1 $sp2 $sp3 and I want to convert them to a list of objects of class "SpatialGridDataFrame" This works for a single object of class "im": a <- mylist$sp1 b <- as(a, "SpatialGridDataFrame") Then I want to write each element in the new list as a TIFF file, with the name of the elements

hi, I wrote a set of R functions for estimating what is the probability function that best fits a set of data. I wrote them based in this response: /http://tolstoy.newcastle.edu.au/R/help/03b/1714.html/ I extracted the relevant segment of the link above: //> PPCC <- function(shape, scale, x) { # only for weibull / + x <- sort(x) + pp <- ppoints(x) + cor( qweibull(pp, shape=shape,

Hi, I tried to install R packages required for the GRASS-R interface by using the following command (copied from http://www.geog.uni-hannover.de/grass/statsgrass/grass6_r_install.html): /install.packages (c("sp", "spgrass6","rgdal","maptools"), dependencies =TRUE)/ rgdal package was installed successfully; There were problems to find 'sp' and

Hello: I would like to superimpose vector polygons (state outlines) from a Shape file on top of a satellite image, imported into a SpatialGridDataFrame from GEOTIFF via gdal_translate and readGDAL. When I plot polygon and point shape files in R, into SpatialPointDataFrame and SpatialPolygonDataFrame, the two feature sets line up geographically, so it seems logical that a SpatialGridDataFrame

Hi I am writing a package in which I define a new class in the .onLoad() hook: ,---- | .onLoad <- function(libname, pkgname) { | setClass( | "inDrak", | representation( | init = "SpatialGridDataFrame" | ), | contains = "simObj" | ) | } `---- The class "simObj" is defined in the package, which

Hello list I am trying to use a Googlemaps tile (png file, 640 X 640 px tile) as a background to a plot and have been using the rgdal library to read in the PNG file (modified from code in the RGoogleMaps package). This works OK. My problem is is that the SGDF2PCT function in rgdal seems to be limited to 256 colors and this is introducing (I think) some degradation to the image which appears on

Dear R community. I am using the identify() function to identify outliers in my dataset. This is the code I am using: #################################################################### # Function to allow identifying points in the QQ plot (by mouseclicking) qqInteractive <- function(..., IDENTIFY = TRUE) { qqplot(...) -> X abline(a=0,b=1) if(IDENTIFY) return(identify(X))

I think qqline does not do exactly what it is advertised to do ("`qqline' adds a line to a normal quantile-quantile plot which passes through the first and third quartiles."). Consider the graph: tmp <- qnorm(ppoints(10)) qqnorm(tmp) qqline(tmp) The line (which I expected go through all the points), has a slightly shallower slope than does the points plotted by qqnorm. I think

Hi, This is essentially a reposting of http://tolstoy.newcastle.edu.au/R/devel/05/11/3305.html which had no responses, and the behaviour reported there persists in r-devel as of yesterday. (1) sort() with non-null partial > x = rnorm(100000) > keep = as.integer(ppoints(10000) * 100000) > system.time(sort(x)) [1] 0.05 0.00 0.04 0.00 0.00 > system.time(sort(x, partial = keep)) [1]

Hi all, I have a set of 54 files that I need to convert from ASCII grid format to .shp files to .bnd files for BayesX. I have the following R code to operate on those files: library(maptools) library(Grid2Polygons) library(BayesX) library(BayesXsrc) library(R2BayesX) readfunct <- function(x) { u <- readAsciiGrid(x) } modfilesmore <- paste0("MaxFloodDepth_", 1:54,

Is there any R software that create an image from Yahoo maps together with points of known UTM coordinates (or lat/long marked? Note that my region of interest is not covered in sufficient detail by Google maps. It actually does not have to be Yahoo maps as long as it has sufficient coverage of my region but that's the one I have found with coverage of my region. The scale I am interested in