dataDensity.m

function [ dmap ] = dataDensity( x, y, width, height, limits, fudge )
%DATADENSITY Get a data density image of data 
%   x, y - two vectors of equal length giving scatterplot x, y co-ords
%   width, height - dimensions of the data density plot, in pixels
%   limits - [xmin xmax ymin ymax] - defaults to data max/min
%   fudge - the amount of smear, defaults to size of pixel diagonal
%
% By Malcolm McLean
%
    if(nargin == 4)
        limits(1) = min(x);
        limits(2) = max(x);
        limits(3) = min(y);
        limits(4) = max(y);
    end
    deltax = (limits(2) - limits(1)) / width;
    deltay = (limits(4) - limits(3)) / height;
    if(nargin < 6)
        fudge = sqrt(deltax^2 + deltay^2);
    end
    dmap = zeros(height, width);
    for ii = 0: height - 1
        yi = limits(3) + ii * deltay + deltay/2;
        for jj = 0 : width - 1
            xi = limits(1) + jj * deltax + deltax/2;
            dd = 0;
            for kk = 1: length(x)
                dist2 = (x(kk) - xi)^2 + (y(kk) - yi)^2;
                dd = dd + 1 / ( dist2 + fudge); 
            end
            dmap(ii+1,jj+1) = dd;
        end
    end
            

end