similar to: Make Multiple plots in R

Hi all, I would like to know a way of calculating the distance between 2 points when I already have the longitude and latitude of the points. For example : Point 1 : 52? 9'54.00"N 4?25'8.40"E Point 2 : 52?27'46.80"N 4?33'18.00"E Distance between point 1 and point in km .... Is there any functions already available for this ? Any help will be much

Hi all, I need a little help for construct an state's map on R. The first problem is to get the data. I have a datafile of longitude and latitude in the follow format: trajectory latitude longtude T -22.045618 -51.287056 T -22.067078 -51.265888 T -22.067039 -51.207249 T -22.059690 -48.089695 T -22.075529 -48.074608 T -22.072460 -48.044472 T -22.062767 -48.298473 T -22.077349

Hi R-Help, I would like to make filled contour maps of ocean data overlaid by costlines from the map package. I can draw the filled contours and the coastlines om the same plot, but the filled contour also covers part of the land. To get rid of that I tried to draw a filled coastline map on top of the filled contour, but the filled map only draws the closed contours - so most of the land is

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Hi list, I wonder if anyone has had this experience with squishplot() in the TeachingDemos package. Taking the example from the ?image help page, library(TeachingDemos) x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) layout(matrix(c(1,2,3,4),ncol=2,byrow=TRUE),height=c(2,1)) ## 1st plot op <- squishplot(range(x),range(y),1) image(x, y, volcano, col = terrain.colors(100)) par(op)

Quick question - I am having problems creating an orographic image (similar to volcano example). I have created a map matrix with 3 columns and over 2million rows. I have created the matrix as follows: map<-read.table("map.dat",header=TRUE) long.grid<-sort(unique(map$long) lat.grid<-sort(unique(map$lat) map.matrix<-matrix(map$height,nrow=length(lat.grid),byrow=TRUE) The

On 23/02/2023 4:36 a.m., Sigbert Klinke wrote: > Hi, > > I would have expected that I get always 3 colors as result which is not > true: > > hcl.colors(3, alpha=c(0, 0.5, 1)) # 3 colors > > rainbow(3, alpha=c(0, 0.5, 1)) # 3 colors > > heat.colors(3, alpha=c(0, 0.5, 1)) # 3 colors > > terrain.colors(3, alpha=c(0, 0.5, 1)) # 6 colors > >

Hi, everybody! I am currently dealing with spatial estimation and thus writing some smoothing algorithms. My question concerns the graphical output. I would like my function to produce a picture of input data (X) and of estimation results(Y). Both, X and Y are categorical variables which can take values 1,2,...,Cl. So, basically I write foo<-function(){ ....

Hi folks, Wondering whether I can get a quick show of hands from those of you who use OpenLayers. The latest version of the API has some refinements for adding the OSM layers which it would be good to take advantage of. If anyone who uses OpenLayers is planning to upgrade from Mapstraction v1 to v2 would it be acceptable to have to upgrade OpenLayers too? That''s assuming you

Hi All, I am unable to get the plot geomap in googleVis package. data is as follows > head(index.ret) country ytd 1 Argentina -10.18 2 Australia -3.42 3 Austria -2.70 4 Belgium 1.94 5 Brazil -7.16 6 Canada 0.56 > map1 = gvisGeoMap(index.ret,locationvar = 'country', numvar = 'ytd') > plot(map1) But it just displays a blank page, showing an

hi all, I have a plot to which i would like to add text labels. And i cant find a way...here is the code : enaD2<-idw(D2~1, loca=dva, newdata=grd) pts = list("sp.points", dva, pch = 20, cex=1.5, col = "darkred spplot(enaD2, "var1.pred",sp.layout=pts, main = "globina 60 cm", sub="D2",

In the following example I would like to have the color transition from Red->yellow->green in the image(...) function, and if possible have the yellow be set to correspond with the mean value (for the below 75). ? I was able to figure something like out when using filled.contour(...), e.g. filled.contour(ak.fan, levels = c(70, 73, 76,?80, 90), color = terrain.colors) (I still

Hi, I would have expected that I get always 3 colors as result which is not true: hcl.colors(3, alpha=c(0, 0.5, 1)) # 3 colors rainbow(3, alpha=c(0, 0.5, 1)) # 3 colors heat.colors(3, alpha=c(0, 0.5, 1)) # 3 colors terrain.colors(3, alpha=c(0, 0.5, 1)) # 6 colors cm.colors(3, alpha=c(0, 0.5, 1)) # 6 colors topo.colors(3, alpha=c(0, 0.5, 1)) # 9 colors R-Version and

Dear list members I'm currently working on some topographic (elevation) data, and was somewhat surprised that the 'topo.colors' and 'terrain.colors' are of little to no use here. The problem is that these functions only return a palette of colours; they don't map depth values to colours. So if I plot (using 'image', 'persp' or similar functions) and

Como usas la función image puedes consultar la ayuda ?image o help(image) y encontrarás el siguiente ejemplo donde se usa un diferente color Palette (mencionada por pepeceb en su respuesta). x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) image(x, y, volcano, col = terrain.colors(100), axes = FALSE) # O puedes usar directamente el número para indicar el color image(x, y, volcano, col =

Hi all, I'm trying to plot an svm model and I'm the following error: > plot(model, data= dados[,-1], formula=formula(dados[,2]~dados[,3]),svSymbol = 1, dataSymbol = 2, symbolPalette = rainbow(4),color.palette = terrain.colors) Error in terms.default(x) : no terms component Anyone knows how to solve this??? Best regards, Pedro Marques

Well, I agree that plots with multiple y-axes can be very confusing but .... i am not sure that always they are also misleading .... One time i was asked to make a 2 y-axes plot, one y axes was for elevation (heights in meters) and one for rugosity (values between 1 and 2 - unitless). The idea was to visualize that for a more complex profile the rugosity is higher than for a flatter terrain. A

Dear UserRs, I draw filled contour plot with filled.contour function. By default, colors of filled.contour is terrain.colors which alters from green (the lowest level) to white (the highest level). I want the colors to alter from white (the lowest level) to green (the highest level). How can I set this color levels? Thanks in advance.

Hello R users... how to align this Zmat (triangle image) in X axis? I would like that the triangle's base become in the X axis and the triangle's height become in the Y axis Is there some trick for make this? Thanks. Cleber ######################## my test and try f <- function(x,y){ z=1-x-y z[ z < (-1e-15) ] <- NA return( -100*x+0*y+100*z ) } x = seq( 1, 0,

Note that I sent this to r-devel, yesterday. However, it didn't appear on the mailing list. So, I'm resending it. Today, I plotted the following: > filled.contour (,,z, color.palette=terrain.colors) It looked OK, in R. However, when I created a PDF document, the plot (and other similar plots) had grid (and other) lines in it, that shouldn't be there. Note that this problem is more