Plot x y and time

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Right Grievous
Right Grievous 2013-1-16
Hi,
I am using scripts written by someone else a long time ago (who has long since gone) and I'm having trouble getting them to do something which is probably quite simple.
I have data from some tracking software and I'm trying to plot the x and y coordinates, as you would do normally but I want to show where the object spent the most time in the form of a pcolor map (so red will signify lots of time spent in an area etc).
I have a matrix (4 x ~30000), rows 1 and 2 contain the x and y coordinates and row 4 contains time in ms (at a 20ms sampling rate I believe).
I am sure I will need to bin the data somehow but I'm not sure how to do this...
Ultimately I want to do the same with velocity (a pcolor map with red signifying 'high speed') but I thought I would tackle this problem first.
Thank you very much for any help,
Rod.

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Doug Hull
Doug Hull 2013-1-16
编辑：Doug Hull 2013-1-16
This is a 2-d histogram problem.
http://www.mathworks.com/matlabcentral/fileexchange/29709-function-to-make-a-2d-histogram
Here is a link to a MATLAB file Exchange file that should calculate a 2-d histogram for you.
This video might be good for you too. http://blogs.mathworks.com/videos/2010/01/22/advanced-making-a-2d-or-3d-histogram-to-visualize-data-density/
Doug
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Right Grievous
Right Grievous 2013-1-16
Hi Doug and thanks for the reply!
I had a look at your second link and tried out the code there, it does exactly what I want, which is great and really smart (I am guessing that it is plotting x and y coordinates into bins, in my case these are coded to a specific timebase which means that this also plots time?).
In any case I was wondering if it is possible to smooth the plot more? I want to produce a pcolor plot as we use this for similar purposes but we apply gaussian smoothing to these so they obviously look a lot more pleasing to the eye... is it possible to incorporate a smoothing filter into your piece of script?
Thanks,
Rod.
Image Analyst
Image Analyst 2013-1-16
With few data points, it obviously will look quantized. The best option is to just collect some more data. A less desirable option is to blur your 2D histogram as if it were an image. For example
blurred2DHist = conv2(original2DHist, ones(5)/5^2, 'same');
imshow(blurred2DHist);
colormap(hot);
colorbar;

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