search for: rasterbricks

I am trying to rasterize a SpatialPolygon object by a RasterBrick object. The documentation of the raster::rasterize function explicitly says this is allowed. Here's what I am doing # load the raster package library("raster") # create a raster brick object using the example from the brick function documentation b <- brick(system.file("external/rlogo.grd",

Dear listers, I am trying to create a RasterLayer of the values of a rasterbrick object. The rasterbrick object has, for example, 100cells library(raster) r <- raster(ncol=10, nrow=10) r[]=1:ncell(r) s <- brick(r,r,r) s <- s * 1:3 Each cell of the rasterfinal will have the AREA UNDER CURVE formed by the values in each cell of the three original rasters. For example: s[4] has the

Necesitaría ayuda con una cuestión. Pongamos por ejemplo estos valores aleatorios para generar un RasterBrick s de 3 capas. library(raster) r <- raster(ncol=10, nrow=10) r[]=1:ncell(r) s <- brick(r,r,r) s <- s * 1:3 Habría alguna forma sin hacer un bucle for, que me devolviese un vector con los valores medios de cada una de las 3 capas. mean_s<-NULL for (i in 1:3) {

Hola Jorge, > My idea was to use 'stackApply': Para esto que necesitas es más sencillo usar calc. Si quieres usar stackApply, debes indicar rep(1, 3) como índices en lugar de sólo 1. Así, la función será (los ... son necesarios en stackApply): myFUN <- function(y, ...) { x <- seq_along(y) trapz(x, y) } Y aplicada con calc: FINAL <- calc(s, myFUN) o con

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,

On Thu, 24 May 2018 at 18:41 Mark R Payne <markpayneatwork at gmail.com> wrote: 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,

This is now fixed in development on RForge, you can try it out by installing from there, or from the Github mirror with devtools::install_github("rforge/raster/pkg/raster"). (To get fixes into raster email the maintainer directly - you might not get a response but it'll be addressed). Cheers, Mike. On Thu, 24 May 2018 at 20:08 Michael Sumner <mdsumner at gmail.com> wrote:

SUMMARY: Specific problem: I'm regridding biomass-burning emissions from a global/unprojected inventory to a regional projection (LCC over North America). I need to have boundaries for Canada, Mexico, and US (including US states), but also Caribbean and Atlantic nations (notably the Bahamas). I would also like to add Canadian provinces and Mexican states. How to put these together? General

Hi, I appologise if this is a rudimentary question and long winded but I just wanted to let ye know where I'm comming from. I'm new to R and I'm trying to use the 'randomForest' package to classify and predict. The Error message that is troubling me is: > pr<-predict(predictors,rf1, ext=ext) Error in x[...] <- m : NAs are not allowed in subscripted assignments In

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