similar to: [Mailman] question: contour plot for discrete data

I have carried out a spatial interpolation (Kriging) using surf.gls() The contour plot looks very plausible and the image plot is o.k too. The problem is, hovever, that I need the vectorized isoplethes, as in contour(). Unfortunately, I found no solution to get the internal data from contour(). Is there a possibility to extract contour lines as x-y-polygon from a grid without hacking plot3d.c?

Dear All, I have a question on overlaying a filled.contour (e.g. on soil properties data) and contour (by elevation) in one graph. Both have the same z matrix dimension. I'm able to overlay both graph, but the plots dimension did not overlap well on the same plots. How can I have both filled.contour and contour on the same graph? The commands that I have written are as follows:

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

Hello. Is there an easy-to-use contour plot function analogous to scatterplot3d that can draw handle a dataset of arbitrary (x,y,z) triplets? That is, say x, y, and z are each measured quanties, and exhibit neither order nor regularity. I looked at the lattice package function "contourplot" but it seems complicated, and it's not clear from the documentation whether it can

Petr, It works perfectly! But I still have a question; I have fit the following data; x,y,z 1,10,11 2,11,15 3,12,21 4,13,29 5,14,39 6,15,51 7,16,65 8,17,81 9,18,99 10,19,119 >dat.lm <- lm(z~I(x^2)+y, data=dat) >dat.lm Call: lm(formula = z ~ I(x^2) + y, data = dat) Coefficients: (Intercept) I(x^2) y 1.841e-14 1.000e+00 1.000e+00 How do I create the

Hi everyone, I hope this question is beyond "read the manual". My task is simple, just to plot the following, but the plot in the middle should be a filled.contour plot: http://gallery.r-enthusiasts.com/graph/Scatterplot_with_marginal_histograms_78 Background: I prefer filled.contour rather than hist2d. Because, I could use kernel smooth, so the plot for discrete data won't be too

Hello everybody I'm using contour() to draw streamlines of potential flow, eg jj <- seq(from= -4, to=4,len=20) jj <- outer(jj,jj,function(x,y){x})+1i*outer(jj,jj,function(x,y){y}) f <- function(x){x^2} contour(Im(f(jj)), nlevels=44 , labels="") How best to put arrows on the contour lines to show the direction of flow? (ie I want contour lines looking like

I understand that I need to have a (in this case) square matrix with all the data. But the question now is; - can the contourplot not interpolate the missing values or alternatively - I have fit a model to the z data (z = 100 + 0.5x + 0.5y). How can I make from this model a "square" matrix z to make a contour plot? Kind regards, Darius Blaszijk ----- Original Message ----- From:

I have searched this forum with keywords contour and percent, it only give one irrelevent result. My problems is how to plot contour in percent. In my figure, I have use kde2d to generate density of an array with two dimension point. Using image and contour could plot it. But the line contour generated represent absolute value of population, not how much pecent point within this cycle. So, i there

Dear all, When a conventional kriging and then a contour plot is limited with a polygon (as possible with krige.conv and contour.kriging), the polygon border is displayed in black by default. > kc<-krige.conv(CZdata,loc=pred.grid,borders=czpoly,krige=krige.control(obj.m=ls)) > plot(CZcoord,xlab="x",ylab="y",type="n",asp=1) >

Hello list, I'm new to R and I have a problem :-) Below is what my data file that looks like. I tried to import and contour this data by doing this: cv_data <- read.table("cv_data.csv",sep=",",header=TRUE) attach(cv_data) contour(x,y,z) I get the error "Error in contour.default(x,y,z) : increasing 'x', and 'y' values expected" I

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

r-help, I can't seem to get the below data organized in such a manner so as to generate a contour plot using any of the functions {lattice.contourplot, base.contour, base.filled.contour}. I was wondering if anyone could please tell me what I need to do to accomplish this. X,Y,Level -31.105,86.911,3843 -3.385,86.911,3896 24.335,86.911,3874 -24.175,79.700,3900 -3.385,79.700,3927

I'm stumped, can anyone find my error in this sequence. for(j in 1:(varsize[4]-1)) temp <- get.var.ncdf(nc=input, varid="p_foraging",c(1,1,j),c(varsize[1],varsize[2],1)) filled.contour(x, y, temp, color = terrain.colors, plot.title = title(main = paste("Everglades Wood Stork Foraging Potential \nYear", (2000+j)), xlab =

Hello, how can I fill map contour with R without setting the legend. I cannot see an option to skip the legend for filled.contour. Thank for your response.

Apologies for the mass mailing today! I am attempting to produce a contour plot for phsical data on a map matrix. I have a small number of data points which each has an (x,y) co-ordinate together with a corresponding value which I would like to cvreate a contour plot for. I have tried the following code: contour(data$x,data$y,data$value) but am told: Error in contour.default(data$x, data$y,

Hi All, I'm having difficulty making a contour plot a would like some help. A standard contourplot can be made by having an x,y, and some matrix (shape x*y) with contents: x = 1:10 y = 1:10 cont <- matrix(runif(100,min=1,max=2),nrow=10,ncol=10) filled.contour(x,y,cont) Looks very nice. Sometimes data comes in a different format however. Basically an x and an y, and a vector z with all

Hello, I have some data that will be in the form: structure(list(station = structure(c(20L, 2L, 4L, 19L, 3L, 11L, 1L, 5L, 10L, 12L, 17L, 18L, 6L, 9L, 13L, 16L, 7L, 8L, 15L, 14L ), .Label = c("1", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "2", "3",

Hi R users I'm looking for a way to do a contour plot of the attached 2D matrix. Using contour() gives me some ugly contour lines that I would like to smooth. Any ideas? oliverjack38 http://r.789695.n4.nabble.com/file/n4642291/param1-4.txt param1-4.txt -- View this message in context: http://r.789695.n4.nabble.com/Smooth-contour-of-a-matrix-tp4642291.html Sent from the R help mailing

Hi, I would like to make a contour plot with the data below, x-axis= Day (increasing order, day number is out of 365 days of a year), y-axis= Depth (varies), and z=pH. I tried to use filled.contour function, but not sure the proper way to ordinate my z results into a matrix with different x and y length. After that, if I attempted to plot the data, the x and y values are not in ascending