For large datasets this allows much faster plotting.
An irregular 2D spatial sampling is provided in x and y vectors with a data point to plot in vector d. A bin size is also provded in vector b=[dx,dy]
Return a 2D matrix M with minimal empty cells with the correct spatial relationship of d and last value only retained in the event of duplicates.
Example
b = [6,9];
x = rand(3333,1)*100*b(1)+1500;
y = rand(3333,1)*100*b(2)+50000;
d = sind(sqrt(x.^2+y.^2))./sqrt(x.^2+y.^2);
Return G, a 2D matrix with d binned in rows and columns
I think the test suite is wrong:
If "G" is supposed to have a "minimal number of empty cells" then why is the second test a 9x9 with the last column being all zeros? I would expect this column to be unnecessary.
For the first test, I'm getting 1.2690e-05 for chk2.
Problem is great though!
Sean, I agree, my bad, I removed the end column and rescored. my code yields 1.2680e-05 still (last value kept per cell?)
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