Kernel Density for 2D data
I have two series of data(both of type double). I want to generate a kernel density plot from these. Pls help. My coding is given below. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% curs1 = exec(conn, 'select sp_x, sp_y from road_part6_trajectories_oneway2_new_segments_cartesian2'); format long; curs1 = fetch(curs1); AA = curs1.Data; x = [AA{:,1}]'; y = [AA{:,2}]'; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% I want to generate the kernel density or any other suitable density plot for x and y. pls advise.
Prashant Kumar answered .
2025-11-20
% Generate some normally distributed data x = randn(50,1); y = randn(50,1); % Estimate a continuous pdf from the discrete data [pdfx xi]= ksdensity(x); [pdfy yi]= ksdensity(y); % Create 2-d grid of coordinates and function values, suitable for 3-d plotting [xxi,yyi] = meshgrid(xi,yi); [pdfxx,pdfyy] = meshgrid(pdfx,pdfy); % Calculate combined pdf, under assumption of independence pdfxy = pdfxx.*pdfyy; % Plot the results mesh(xxi,yyi,pdfxy) set(gca,'XLim',[min(xi) max(xi)]) set(gca,'YLim',[min(yi) max(yi)])