similar to: REad bitmap files

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,

Dear all, Several days ago, I posted How to write a bmp file pixel by pixel. Instead of bmp, I succeeded in writing a PPM file by using the pixmap package. Thanks for the hint generously provided by Uwe Ligges. Now I have a new question. How to convert a PPM file to BMP file in R? I know I can do this in photoshop or by some other softwares, but I think if I Can do this in R, that

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:

> > Hi, > > I used > GDALinfo("MOD13Q1.A2001049.h13v11.005.2007002215512.250m_16_days_EVI.tif") and > got the results: > > rows 10 > columns 11 > bands 1 > origin.x 150701.4 > origin.y 7744897 > res.x 250 > res.y 250 > ysign -1 > oblique.x 0 > oblique.y 0 > driver GTiff >

library(rgdal) my_asc=dir("~/Pulpit/dods/karol/TVDI 113_121",pattern=".asc",recursive=T,full.names=T) for (i in 1:length(my_asc)) { r <- readGDAL(my_asc[i]) z <- as.matrix(r) vectordata[i] <- mean(z) vectordatamax[i] <- max(z) vectordatamin[i] <- min(z) vectordev[i] <- sd(z,na.rm=True) hist(z)

Hello, The other day Justin Peter presented a mini program to plot a topographic map with an overlay of the worldHires. I seemed interesting so I checked the ETOPO5 site and find that there is a new file ETOPO1 with a 1 minute grid. I downloaded it and tried a similar procedure. Now the ETOPO1.gz is 1 Gb and the uncompressed file is 5 Gb. They do not fit into my laptop. I tried the following

Hi Just to clarify, I think this IS a problem with grid.path() as well as polypath(). For the example you give, grid.path() diverts to drawing a polygon (because there is no 'id' specified), and the NAs in 'x' generate two separate polygons, which get drawn one on top of the other. The correct analogy to the polypath() example is ... x2 <- matrix(x[!is.na(x)], ncol=2)

On Thu, 4 Aug 2016 at 17:53 Michael Sumner <mdsumner at gmail.com> wrote: > On Thu, 4 Aug 2016 at 11:17 Paul Murrell <paul at stat.auckland.ac.nz> wrote: > >> Hi >> >> Just to clarify, I think this IS a problem with grid.path() as well as >> polypath(). >> >> > Hi, oh dear - sorry about that > > I appreciate the deeper explanation, I

Dear listers, I have a collection of tif images that I would like to convert, in R, to a matrix containing the values of the 8bit colour. Ideally, I would like a matrix for each of the colour channels (red, blue and green). I have 'googled' and searched the help list but have yet to find a solution and hope that someone can point me in the right direction. I currently use

Hi, I see different results in png() and pdf() for polypath() on Windows when using the "winding" rule ## overlapping, both clock-wise x <- cbind(c(.1, .1, .6, .6, NA, .4, .4, .9, .9), c(.1, .6, .6, .1, NA, .4, .9, .9, .4)) pfun <- function() { plot(x) polypath(x * 0.8 + 0.2, rule = "winding", col = "#BEBEBE80") polypath(x, rule =

I have a problem with duplicated date_time stamps that I do not see as duplicated. I read a file with observations taken every 30 minutes: > aur2009=read.csv(paste(datadir,"AUR_ECPP_2009.csv",sep="/"),sep=";",stringsAsFactors=F) > aur2009[1:3,1:5] Date.Time E_filled E_filled_flag LE_filled LE_filled_flag 1 1/1/2009 0:00 0 NaN 5.86

Hi,? I want to label a polygon (circle or polygon) inside. As for example code? library(spatstat) x <- runif(20) y <- runif(20) X <- ppp(x, y, window=disc(0.7)) plot(X) Now I want to label that circle inside . Can some one please help me ?? Thanks.? Regards............. Tanvir Ahamed Stockholm, Sweden???? |??mashranga at yahoo.com

Hi, I seem to be having a problem adding the following two raster objects together - one is a rasterLayer, the other is a rasterBrick. The extent, resolution, and origin are the same, so according to my understand it should work. The objects look like so: > obs.clim class : RasterLayer dimensions : 60, 200, 12000 (nrow, ncol, ncell) resolution : 0.5, 0.5 (x, y) extent : -70,

Try text(0.5, 0.5, label = "?text") On Sat, 10 Feb 2018, 16:22 Mohammad Tanvir Ahamed via R-help, < r-help at r-project.org> wrote: > Hi, > I want to label a polygon (circle or polygon) inside. > As for example code > > library(spatstat) > x <- runif(20) > y <- runif(20) > X <- ppp(x, y, window=disc(0.7)) > plot(X) > > Now I want to

Dear R users, I was wondering how I can convert a raster image (that made R through interpolation) into an ascii or csv format? this is the last line of my command p <- interpolate(r, tpsfit) So p is my raster file which I want to convert into ascii or csv Many thanks Regards Mintewab

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

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I'm wondering if anyone is aware of a way to take what is visible in the R graphics window, pixelate it, and express that pixellation in a numeric matrix. For example, I am using the following command to create a black (present) and white (absent) spatial simulation of grass tussock distribution. > symbols(x=runif(100,-.5,1.5),y=runif(100,-.5,1.5),circles=runif(100)/30,

Has anyone yet tried incorporating rasterImage into the base image() function? It seems to make a *huge* difference, with a very small number of added/changed lines of code. (Of course I have barely tested it at all.) Is there any reason this *shouldn't* go into the next release? > source("image.R") > z <- matrix(runif(1e6),nrow=1000) > image(z) >

I am working on dumping raster data from R into PNG files using rasterImage(). I am working with a test matrix from the rasterImage() example and using it to produce a PNG image with the following code: # From the example for rasterImage(). A 3 pixel by 5 pixel b/w checkerboard. testImage <- as.raster(0:1, nrow=3, ncol=5) testImage [,1] [,2] [,3] [,4] [,5] [1,]