similar to: Trouble with Spatial Data Example Script

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

Dear All, I like very much figure 2.a) and 2.b) of this paper http://www.nature.com/srep/2013/130410/srep01640/pdf/srep01640.pdf and I probably need a similar visualization. Is anything like that doable in R? I have some experience with R and gadm (gadm.org), but that is only to produce maps colored according to a scalar. I do not know how to visualize maps with a "perspective", let

Dear all, in GADM map there are three levels (nation, province and precinct) for each country of the world but for all of them you are never able to plot only one part of a chosen country. To be sure, I am trying to plot only one region of “Italy” and colour the different precincts in it. So far I am able to colour only the part of my interest but the programme still plot the whole country. Is

Hola He hecho el típico mapa con gadm y spplot: library(sp) ES <- local(get(load(url("http://biogeo.ucdavis.edu/data/gadm2/R/ESP_adm2.RData ")))) acerco las canarias: A <- which(ES en data$NAME_1 == "Islas Canarias") L <- length(ES en polygons[[A]]@Polygons) L <- length(ES en polygons[[A]]@Polygons) for (i in 1:L){ ES en polygons[[A]]@Polygons[[i]]@coords

I have csv data that extend beyond the area I want for an existing map. I want using the boundaries of the polygon shape file as a cookie cutter so that I can overlay the csv data on map without including anything outside the map boundaries and create a dbf file or shapefile of the clipped data .  The reproducible example: ############################################### library(RColorBrewer)

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, Yo lo resuelvo usando grid.rect. Tienes una posible solución aquí: https://github.com/oscarperpinan/spacetime-vis/blob/master/choropleth.R#L216 (que es una versión actualizada de este artículo https://procomun.wordpress.com/2012/02/18/maps_with_r_1/) Saludos. Oscar. ----------------------------------------------------------------- Oscar Perpiñán Lamigueiro Dpto. Ing. Eléctrica,

Hi Ralf, I tried the following > install.packages("RCurl") which went OK, but then same story when I tried to install tseries. > sessionInfo() R version 3.6.1 (2019-07-05) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Debian GNU/Linux 10 (buster) Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.8.0 LAPACK:

Dear All, I am far from being a guru about parallel programming. Most of the time, I rely or randomForest for data mining large datasets. I would like to give a try also to the gradient boosted methods in GBM, but I have a need for parallelization. I normally rely on gbm.fit for speed reasons, and I usually call it this way gbm_model <- gbm.fit(trainRF,prices_train, offset = NULL, misc =

Dear All, Probably a one liner, but I am banging my head against the floor. Consider the following DF <- data.frame( x=1:10, y=10:1, z=rep(5,10), a=11:20 ) mn<-names(DF) but then I cannot retrieve a column by doing e.g, DF$mn[2] I tried to play with the quotes and so on, but so far with no avail. Any suggestion is welcome. Cheers Lorenzo

Dear All, I would like to be able to plot histograms/densities on a semi-log or log-log scale. I found several suggestions online http://tolstoy.newcastle.edu.au/R/help/05/09/12044.html https://stat.ethz.ch/pipermail/r-help/2002-June/022295.html http://www.harding.edu/fmccown/R/#histograms Now, consider the code snippet taken from http://www.harding.edu/fmccown/R/#histograms # Get a random

Dear All, I am struggling with the following problem: I am given a NxN symmetric matrix P ( P[i,i]=0, i=1...N and P[i,j]>0 for i!=j) which stands for the relative distances of N points. I would like use it to get the coordinates of the N points in a 2D plane. Of course, the solution is not unique (given one solution, I can translate or rotate all the points by the same amount and generate

I have a SpatialPolygonsDataFrame object (sp package). It contains 40 polygons. Now I want to join some of the polygones. I cannot figure out how to do that? Any ideas? The code below produces a map of Germany and I need to join some counties. library(sp) library(RColorBrewer) # get spatial data for Germany on county level con <- url("http://gadm.org/data/rda/DEU_adm3.RData")

Apologies for the previous mail (I sent it off too early by mistake). This is the correct example: rm(list=ls()) D_mean<-seq(-5,5,length=100) y<-exp(-D_mean^2/5) pdf("my.pdf") plot(D_mean,y,type="l",yaxt="n",lty=2,lwd=2,col="black", ylab = list(expression(paste(dN/dlogD[agg]," ["*cm^-3*"]"))), xlab = expression(paste(D[agg],"

Dear All, I am given some data to analyze. The data is in the form of a Stata database (.dta file). What is the best way to import it into an R dataframe? Is there any particular caveat I should be aware of? Many thanks Lorenzo

Dear All, I implemented an algorithm for (uniform) random rotations. In order to test it, I can apply it to a unit vector (0,0,1) in Cartesian coordinates. The result is supposed to be a set of random, uniformly distributed, points on a sphere (not the point of the algorithm, but a way to test it). This is what the points look like when I plot them, but other then eyeballing them, can anyone

Dear All, Probably something very easy, but I am looking for the most efficient ways to achieve this. Consider the following snippet y<-c('a','b','c','d','e','f','g') x<-rnorm(length(y)) df<-data.frame(y,x) leading to > df$y [1] a b c d e f g Levels: a b c d e f g Now, I would like to replace levels

Dear All, I would like to use a randomForest algorithm on a dataset. The set is not particularly large/difficult to handle, but it has some missing values (both factors and numerical values). According to what I found https://stat.ethz.ch/pipermail/r-help/2005-September/078880.html https://stat.ethz.ch/pipermail/r-help/2007-January/123117.html the randomForest package has a problem with missing

Dear All, I have never had this problem before. I run debian testing on my box and I have recently update my R environment. Now, see what happens when I try the most trivial of all plots > plot(seq(22)) Error in (function (display = "", width, height, pointsize, gamma, bg, : X11 module cannot be loaded In addition: Warning message: In (function (display = "", width,

Dear All, Consider a matrix (N x N) where each entry is either zero or one (can hardly get any simpler). Now, I would like to plot it as a 'chessboard' where every matrix entry is a black (1) or white (0) square. Whatever tool I use to plot it, it should not try to interpolate the data at all. I found some online references http://www.phaget4.org/R/image_matrix.html but probably I can