similar to: R software to place points on Yahoo maps

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

Hello friends of R, My name is Toni, i'm 25 and I'm working on the Meteorological Investigation team from Balearic Islands. I had contact to you because I have a problem: I done a file for every day since 1912 about precipitation. That file has the following structure: > str(Ast) Loading required package: sp Formal class 'SpatialPixelsDataFrame' [package "sp"]

Hi, I have a matrix of data which i can vizualize as an image - for example. I would like to save this image as a geotiff file or at a tiff file with a world file which holds the projection of my data (ultimately the data represent a map of some sort). I know i can save the data as an ESRI grid, but i am not interested in that. I wonder if anybody knows about any code which will help me do

Hi ALL, Can you please help me on how to determine the prediction error for ordinary kriging?Below are all the commands i used to generate the OK plot: rsa2 <- readShapeSpatial("residentialsa", CRS("+proj=tmerc +lat_0=39.66666666666666 +lon_0=-8.131906111111112 +k=1 +x_0=0 +y_0=0 +ellps=intl +units=m +no_defs")) x2 <- readShapeSpatial("ptna2",

Dear all, I'd like to change a point pattern to a grid of cells and use one of the variables as the output. e.g. The point pattern is of a window of (500*500) and several features such as pH, SoilType etc. I like to divide it into a grid with cell size 5*5, and use the mean of the point values falling inside the cell as the output. Is there any package in R working with this? Thanks in

Dear Happy R-users & experts, I am in need of advice, While working with spatial data (x & y coordinates of seed locations) I have come accross the problem that I need to convert my point data into a matrix or grid system. I then need to count how often a point falls into a certain position in the matrix or grid. I have searched all day online, asked collegeas but nothing works. Sadly

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R-geographers... I'm trying to solve a problem to implement a line-by-line tiled processing using RGDAL (read 1 line of an image, process the one line, write one line of the image to a binary file). Everything except for the final step I'm able to do using a combination of RGDAL and r-base commands. Below is the basic structure, the input file "elev" can be any image file

Hi, I am stuck in a looping problem. It might be an easy problem for experienced R users but I have been unable to do it. Any kind of help or advice will be great appreciated. I am creating a spatial grid and have a list of spatial points in a folder. I can read the spatial points separately and get a count of the points in the spatial grid in R. The output should be a table showing the counts of

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

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

I would like to use a map or aerial photo as a background to plotting solid lines and text, and semi-transparent color contours, in base and lattice graphics. Plot coordinates need to be consistent with the georeferenced background. For example, a color contour plot would have an gray-toned aerial photograph as a background for overprinted semi-transparent color contours of some spatially

Hi, is there a function in R to convert data read with read.shape and which is originally in UTM coordinates into longitude / latitude coordinates? I found the convUL() function from the PBSmapping package but I have no idea how I could apply that to the read.shape object. Many thanks, Werner __________________________________________________ Do sragenden Schutz gegen Massenmails.

Dear all, I have been trying to convert coordinates from longitude/latitude to utm but I got an error. As soon as the longitude coordinate is greater than 90, I get the folloowing error message: "error in pj_transform: latitude or longitude exceeded limits" Here is what I did: SP<-SpatialPoints(cbind(126.59,-14.30),proj4string=CRS("+proj=longlat"))

Hola a todos Esta es mi primera pregunta en el grupo, y es sencilla pero me tiene atascado. Estoy tratando de cortar mi mapa de (poner limites en UTM) en un lugar definido como mi area de estudio (en este caso el sur de chile). Pero creo no estar usando bien la función CRS ponendo bien los limites requeridos. > study_area <- readRDS("CHL_adm0.rds") > study_area_UTM <-

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

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

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

Dear all, A very basic terrain calculated as a matrix from Spatial Points Patterns: #interpolate using the akima package library(akima) terrain=interp(ppoints$x,ppoints$y,ppoints$marks,xo=x0,yo=y0, linear=F) > class(terrain) [1] "list" > class(terrain$x) #these are the x-coord i.e: [1...1000] [1] "numeric" > class(terrain$y)#these are the y-coord i.e: [1...1000] [1]

I am working with transition matrices of sequences of animal behaviours. What I would like to do is parse the original matrices, adjusting row/column order so that the matrix has its main values in blocks surrounding the diagonal. This would cause behaviours involved in functional groupings (e.g. grooming, resting, foraging etc) to appear as blocks. This can be done manually by applying