contour

I have a data set that consists of 3 columns in a .csv file. The first 2 columns are map co-ordinates and the third is the percentage of zinc found in a borehole at the corresponding map co-ordinates. I would like to create a contour map to show the Zn concentration changes with distance. All of the examples of code I have been able to find use data in the form of a matrix, whereas mine are in lists. I have tried several different ways of plotting this which I have shown underneath, the majority of methods give me error messages along the lines of "object x not found" which I think is to do

I have generated some data in Python using matplotlib.hist2d. An example of the data is seen below. As you can see this data has some contours in it found by tracing the same color throughout the plot. I see a gamma distribution centered around 0.015. I would like to take this data and gather these contours so I can see a line trace through each color level. I tried playing around with the contour function as here counts, xedges, yedges, Image = hist2d(x, y, bins=bins, norm=LogNorm(), range=[[0, 1], [0, 400]]) contour(counts) but that didn't seem to produce anything. Does anyone know the best

As you can see in the image, I would like to compare these contours. I need my OpenCV program to return TRUE when of these contours are compared to each other. They all kind off look the same but as you can see they are not exactly the same. The result you see here is what I have returned from the function findContours. So I am looking for the right approach for similarity for these contours. Any help would be amazing. Thank you very much in advance. Take a look at cvMatchShapes() (which used to be call cvMatchContours() ). krzych To use the matchShapes() function you should pass vector<Point>

I want to create a contour of variable z with the x,y,z data. However, it seems like we need to provide the data in increasing order. I tried to use some code but it gave me the error. I tried the following code: Trial 1: age2100 <- read.table("temp.csv",header=TRUE,sep=",") x <- age2100$x y <- age2100$y z <- age2100$z contour(x,y,z,add=TRUE,col="black") I got the following error Error in contour.default(x, y, z, add = TRUE, col = "black") : increasing 'x' and 'y' values expected I then tried to use ggplot2 to create the contour. I used the following code: library("ggplot2") library("MASS")

i tried to compare two images and use Hu moment to compare contour extracted from these images: https://docs.google.com/file/d/0ByS6Z5WRz-h2WHEzNnJucDlRR2s/edit and https://docs.google.com/file/d/0ByS6Z5WRz-h2VnZyVWRRWEFva0k/edit The second image is equal to the first only it's rotated and i expected as result same Humoments. They are a little bit different. Humoments sign on the right (first image): [[ 6.82589151e-01] [ 2.06816713e-01] [ 1.09088295e-01] [ 5.30020870e-03] [ -5.85888607e-05] [ -6.85171823e-04] [ -1.13181280e-04]] Humoments sign on the right (second image): [[ 6.71793060e-01] [