| Description |
BIN2MAT can be used to create a grid from scattered 2D data using grid-cell averaging (no interpolation). BIN2MAT also accepts function handles so you can evaluate many different functions over each grid cell. If the specified function returns non-scalar output, BIN2MAT will return a cell array.
EXAMPLE (generates screen-shot)
%generate some scattered data
[x,y,z]=peaks(150);
ind=(rand(size(x))>0.9);
xs=x(ind); ys=y(ind); zs=z(ind);
%create a grid
xi=min(xs):0.25:max(xs);
yi=min(ys):0.25:max(ys);
[XI,YI]=meshgrid(xi,yi);
%calculate the mean and standard deviation
%for each grid-cell using bin2mat
Zm=bin2mat(xs,ys,zs,XI,YI); %mean
Zs=bin2mat(xs,ys,zs,XI,YI,@std); %std
%plot the results
figure
subplot(1,3,1);
scatter(xs,ys,10,zs,'filled')
axis image
title('Scatter Data')
subplot(1,3,2);
pcolor(XI,YI,Zm)
shading flat
axis image
title('Grid-cell Average')
subplot(1,3,3);
pcolor(XI,YI,Zs)
shading flat
axis image
title('Grid-cell Std. Dev.') |
