similar to: colour by z value, persp in raster package

Hola Ángel: Yo creo que tendrías que establecer el sistema de coordenadas de referencia de tu objeto raster antes de salvarlo como GTiff. Algo así: crs(r1) <-"+proj=utm +zone=14 +datum=WGS84" Saludos, Marcelino. El 20/02/2020 a las 1:42, Angel Cervantes escribió: > Hola a todos, quisiera pedirles su ayuda. Estoy tratando de crear un raster a partir de una tabla de datos

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)

Hola grupo, estoy siguiendo una gu?a de la librer?a rLandsat que me la he descargado de: devtools::install_github("socialcopsdev/rLandsat") Y tras hacer los siguiente (obviamente tengo me he registrado previamente en la api correspondiente): product_id = c("LC08_L1TP_145049_20180301_20180308_01_T1", "LC08_L1TP_145049_20170330_20170414_01_T1",

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

Hi everyone! I would like to draw a line surrounding my raster, with i want it in black, and i don't know if its possible to change the colour. A simple example is: r <- raster(nrow=30, ncol=30, xmn=0) r[]<-NA r[393:409]<-99 r[423:439]<-99 r[453:455]<-99 r[456:460]<-30 r[461:469]<-99 r[483:499]<-99 r[513:529]<-99 plot(r,col=terrain.colors(100)) plot( edge(r,

This bug is not quite fixed - the example from my original report now = works using R-2.2.1, but plot(Uniform, 6) does not. The bug is due to if (show[6]) { ymx <- max(cook, na.rm =3D TRUE) * 1.025 g <- hatval/(1 - hatval) # Potential division by zero here # plot(g, cook, xlim =3D c(0, max(g)), ylim =3D c(0, ymx),=20 main =3D main, xlab =3D

Hi, We got a question about interpretating R-suqared. The actual outputs for a test dataset is X=(x1,x2, ..., xn). model 1 predicted the outputs as Y1=(y11,y12,..., y1n) model n predicted the outputs as Y2=(y21,y22,..., y2n) ... model m predicted the outputs as Ym=(ym1,ym2,..., ymn) Now we have two ways to calculate R squared to evaluate the average performance of committee model. (a)

Hi R-list, I have a data set with plot locations and observations and want to label them based on locations. For example, I have GPS information (x and y) as follows: > x [1] -87.85092 -87.85092 -87.85092 -87.85093 -87.85093 -87.85093 -87.85094 [8] -87.85094 -87.85094 -87.85096 -87.85095 -87.85095 -87.85095 -87.85096 [15] -87.85096 -87.85096 -87.85096 -87.85088 -87.85088 -87.85087

Hi folks, I'm experiencing some hassle to add some text on a persp plot... Here is the code to generate the persp plot: x <- seq(-1.95, 1.95, length = 30) y <- seq(-1.95, 1.95, length = 30) z <- outer(x, y, function(a,b) a*b^2) persp(x, y, z,xlim=c(-2,2),ylim=c(-2,2),zlim=c(-8,8), phi=30, theta=-30,nticks=8,ticktype="detailed") I've tried the text() function :

Hi, I'm currently hunting a bug in the akima library, especially in the code behind the interpp.old function (bi-variate linear interpolation). It is based on a triangulation algorithm, interpolation at a given point needs to know the triangle which contains this point, then the interpolation is a straightforward calculation based on the three vertexes. The problem is: Sometimes the triangle

I'm monitoring some CentOS 5 servers running Sun Java. We have set things up so 2048 MB of RAM are available for the base operating system, taking into account the xMx and permgen settings. What we're seeing is the swap space getting used up, and not released. Is this normal behavior? Performance doesn't seem to be affected, however I'm a bit concerned that the swap file is

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

Hello: I am using R raster package to replace ArcGIS when processing multiple shp files. However, when I export R raster back to ArcGIS, it couldn't recognize R raster file correctly. For example, I used {raster} package and got a RasterLayer as followed. class : RasterLayer dimensions : 8280, 18480, 153014400 (nrow, ncol, ncell) resolution : 0.008333334, 0.008333334 (x, y)

Hello, I have a problem writing a raster with the raster package. I have the raster object "mask" which has the following geoinformation: ---- R output > mask class : RasterLayer filename : E:/Daten/FE/HyMAP/Luxembourg_2010/Kehlen_Useldange/mosaik/LUX_LC_noOverlap_mask nrow : 5198 ncol : 2813 ncell : 14621974 min value : 0 max value : 255

Dear all, This problem came up initially while debugging a function, but it seems to be a more general problem of R. I hope I'm wrong, but I can't find another explanation. Let me illustrate with the raster package. For an object "RasterLayer" (which inherits from Raster), there is a method xyValues defined with the signature

summary: spatial data to be input to a regional-scale environmental model must (1) be converted to netCDF and then (2) "regridded" (cropped, projected, increased resolution). In a public git repository https://github.com/TomRoche/GEIA_to_NetCDF I have R code (with bash drivers) that does the conversion step, and plots the converted output, apparently correctly. However attempts to plot

Dear useRs, I am trying to import a raster with the line: nlcd <- raster("/home/jpolo/NRI/nlcd_nri5000.tif") And I keep getting an error like this: "Warning message: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE,? : ? there is no package called 'rgdal' Error in .rasterObjectFromFile(x, band = band, objecttype =

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,

Hi, The message "there is no package called 'rgdal'" means that you don't have rgdal installed. https://cran.r-project.org/web/packages/rgdal/index.html Also, you will get very good patial-centric help if you subscribed to r-sig-geo here https://stat.ethz.ch/mailman/listinfo/r-sig-geo Cheers, Ben > On Sep 6, 2017, at 2:52 PM, john polo <jpolo at mail.usf.edu>

Good day everyone. I have a question concerning *ggobi* and *rggobi*package. I am using R version 2.13.2 and Ubuntu 11.04. I am new to ggobi and I'm reading the book *Interactive and Dynamic Graphics for Data Analysis *. The book was published 2007. My question is: how can I export a graph for *rggobi* to pdf to include it in latex. For example: I have lots of variables in ggobi and I need to