similar to: x11() graphic device, displaying raster

Hello! I have 2 maps - both created in ssplot and both identical in terms of outline. Is there any way to superimpose Map1 (which has black borders between Canadian provinces) onto Map2 (which is also a map of Canada)? Thanks a lot for your hints! Dimitri ### A. Reading in Canada data at the province and then at the county level: library(raster) getData('ISO3') # Canada's code is

Hola a todos. Soy nuevo en R, estoy aprendiendo con tutoriales y lo hago sin un fin comercial y/o laboral. Necesito ayuda para mostrar un mapa y sobre ese mapa poner un punto dado por una coordenada. con esto consigo mostrar el mapa. library(raster) arg<-getData('GADM', country='ARG', level=0) plot(arg) En ese mapa quiero mostrar un punto que está en el sistema de

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Dear All, Please see the short script at the end of the email, which I assembled looking for bits and pieces on the web. It essentially does what I need: it plots several countries as a color-coded map. I just would like to fine-tune a bit the final image, in particular (1) Select my own colors for "painting" the countries (i.e. associate manually a color to every level) (2) Be

Hello, I would like to generate a small map (say 10cm x 10cm) of France showing cumulative numbers by Distribution Center stored in a database: DISTRIBUTION_CENTER COUNT Paris 122 Paris 3 Paris 21 Lyon 12 Lyon 4444 Lyon

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 having trouble getting data labels to display over the provinces in a GADM map of Canada. Specifically, I need the variable "Number" from the data set "by_province", grouped by "region", to appear on the corresponding regions of the map. The data set "by_province" looks like this: long lat order hole piece region

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 all, I am trying to plot a raster object (I can explain why but the point is that it would be a raster objeçt).. I have selected a small code to show you exactly the problem require(raster) test<-matrix(data=runif(10000),nrow=100) m<-raster(test) plot(m,axes="FALSE") axis(1,at=c(0,1),labels=c("a","b")) # THIS DOES NOT CHANGE THE INVISIBLE AXIS WHILE

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

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

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 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

Dear useRs: Is there a way to include a raster image (e.g., .gif, .jpg, .bmp) representing a company logo, a school logo, etc. into an R graphic? For example, it would be nice to be able to include the logo of the school into the charts that a student produces for her dissertation. Similarly, while working on a competitive analysis, it would be nice to be able to replace the names of the

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 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

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

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