similar to: Plot.raster hides the axis layer

Dear all, I have asked yesterday of how I can read a simple bitmap file in R cran. I was suggest to use either readGDAL or raster for loading my bitmap a. I have done it with readGDAL like     store<-readGDAL(fname='lena256.bmp')     and it works,... but it converts my matrix-like notion of a bitmap to a large vector b. Raster also returns a class that I can not understand. So 1,

Hello everyone. I am trying to build up understanding in R by trying to develop just some simple scenarios. I would like to explain you what I am trying to do and what I did so far. I would like to put inside a RasterLayer (raster package) a Gaussian field (for given covariance) using grf function (geoR package) 1. First I created a Raster Layer object r <- raster() # Default values are

Hi I have a vector like that readCsvFile$V1  [1]  30  31  32  33  34  35  36  37  38  39 310 311 312 313 314 315 316 317 318 [20] 319 320 321  20  21  22  23  24  25  26  27  28  29 210 211 212 213 214 215 [39] 216 217 218 219 220 221 222 223  40  41  42  43  44  45  46  47  48  49 410 [58] 411 412 413 414 415 416 417 418 419 420 421 and I am looking to find where the number 31 is located. So I

Hello everyone The following two commands plot.default(seq(1,5),seq(2,6)) plot(seq(1,5),seq(2,6)) plot nothing. One day ago this would create a simple plot diagram but unfortunately right now no plot appears. ?plot returns Help on topic 'plot' was found in the following packages: Plot a Raster* object (in package raster in library

I have a raster (which I called glc), which I read into R as a raster with "raster.create.from.file" from the raster package (R-forge). Values in glc range between 1 and 27 (whole numbers only). I'd like to extract all cells with a value of 1 to create a new raster with only the cells that have a value of 1, or to extract the xy values of all raster cells with a value of 1. Could you

I am working with a raster and want to take values assigned to each cell and sort them from largest to smallest, then cummulatively sum them together (in order from largest to smallest). I'll then be coding the individual cells such that the top 10% of the largest cell values can be visualize with one color, the next 10% with another and so on. I have tried a number of schemes but

Hi, str() on raster objects fails for certain dimensions. For example: > str(as.raster(0, nrow=1, ncol=100)) 'raster' chr [1, 1:100] "#000000" "#000000" "#000000" "#000000" ... > str(as.raster(0, nrow=1, ncol=101)) Error in `[.raster`(object, seq_len(max.len)) : subscript out of bounds This seems to do with how str() and

Hello everyone in the forum For introducing myself I would say I have a basic knowledge of R. Now I am intended to implement a flood algorithm using R. I have some MatLab experience doing these, and as an example to explain more or less what I want, I have a m code to calculate the slope from a Digital elevation model: slope=zeros(row,col); for i=2:row-1 for j=2:col-1

Hi R-user, I was trying to make a raster map with WGS84 projection in R, but I could not make it. I found one data set in Google that data is almost the same format as of mine. I wanted to make a raster map of temperature with 1 degree spatial resolution for the global scale. I could make it in GIS software but I do have many variables (to be many raster images) and ultimately I am importing them

Hi, I am finding the recently added [1] functionality of embedding raster images into plots on R devices very useful! Thanks to Paul Murrell and others for providing that. I noted that in https://svn.r-project.org/R/trunk/src/library/grDevices/src/devPS.c a macro is defined: #define MAX_RASTERS 64, and consequently, I get Error in grid.Call.graphics("L_raster", x$raster, x$x, x$y,

Hello, I have a large number of raster objects in memory, with names RH100, RH101, RH102, etc. (myobjects <- ls(pattern='^RH')). These rasters are sections of a continuous map, and I would like to combine them using the RasterObject merge tool in package 'raster.' Merge expects an input list of raster objects (outmap<-merge(x, y, ...), where x, y, and ... are raster

Hello R-Group, I am new working with netcdf files and the raster package in R.I am trying to read in a netcdf file using the package "ncdf".I am able to get the lat, lon and parameter I need and can plot using fill.contour.Ultimately, I am trying to create a .asc file to reafd into GIS.I am using the package "raster" to read the parameter.When I read in with

Apologies, I cannot see how to make a rero for this issue. I have a function that uses levels(r) tor return the RAT of a raster "r" when the function is sourced from a script source(".\R\function.r") it works fine. when the function is built into a package and sourced from there library(mypackage) using the same script file to make the package levels(r)[[1]] the same line

Dear all, I am running R 2.8.1. under ubuntu, and I need to install the package "raster" but I get the following error: > install.packages("raster") Warning in install.packages("raster") : argument 'lib' is missing: using '/usr/local/lib/R/site-library' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done

This code will read binary file and display it as a map. may problem is that this code is using a continuous colour scheme, even though I have discrete data (which is a classification scheme). How can I map numbers to colours with raster? Please require(raster) conne <- file("C:\\lai.bin", "rb") sd<- readBin(conne, integer(), size=1, n=360*720, signed=F)

Hi I want to overlay my raster and its boundary which is a shapefile. When I used thise code separately, all is ok: # Open raster >Image<-read.table("C:\\Users\\Documents\\Nouveau\\Frequence.txt",sep="",dec=",",header=TRUE) >testo<-rasterFromXYZ(Image) >plot(testo) >testo2 <- aggregate(testo,fact=10, fun=mean) >plot(testo2) # open

Dear R-Help, When plotting a raster object the origin (0,0) is placed in the center. E.g. using: library(raster) mat = matrix(runif(100),10,10) r <- raster(ncol=10, nrow=10) values(r) <- mat plot(r, main='Raster example',xlab="x",ylab="y") Does anyone know how to adjust the coordinate system? E.g. I would like to have 0,0 at the top left. My naive approach

Hey, I am having troubles using the 'predict' function with in the Raster package. I am using pm<-predict(mm, predictors) where mm is the mahalanobis distance and the predictors are a stack of 6 raster layers containing environmental variables. When I try to run the prediction I get the following warning message: Warning message: In layerNames(x): the layerNames function is

Hello, I am wondering about the X11() graphic device on Windows. I try to plot a raster image but nothing gets displayed. I found some pages where it is mentioned that x11() not always supports raster rendering. Is there any add on for x11, any update or any R-package which solves that displaying problem in Windows? What I try to test it is an example from the package {raster}: library(raster)

Hello, I am wondering about the X11() graphic device on Windows. I try to plot a raster image but nothing gets displayed. I found some pages where it is mentioned that x11() not always supports raster rendering. Is there any add on for x11, any update or any R-package which solves that displaying problem in Windows? What I try to test it is an example from the package {raster}: library(raster)