HotPlot, view a 2D variable as hue over 2D data 1.0

I needed a way to visualize a subset of a 2D variable derived from a 2D dataset, _together_ with the original data and in its original coordinates. Since a plain 3D plot decouples all this info (and becomes illegible for data containing very noisy regions) I decided to show the calculated 2D descriptor as hue variation on the original 2D data (represented as gray level).It is a suggestive way of visualizing data and especially effective when the 2D subset is a lot smaller than the original 2D data (for instance when the variable to plot is uninteresting for the most part and it would only skew the z-scaling).Following the discussions on the FileExchange and Newsgroup it seemed to me that more people might benefit from this, so I decided to post it.execute:>> imgRGB = hotplot(BACKGND, FOREGND, POSITION, 1);when FOREGND is an N-length list of values and POSITION is an N-by-2 list of coordinates (in the BACKGND referential) ;or execute:>> imgRGB = hotplot(BACKGND, FOREGND, MASK, 1);when BACKGND and FOREGND are both [M x N] and MASK is a boolean, obtained for example as>> MASK = FOREGND > SomeThreshold;or run testHotPlot.m to visualise a sample data set; the physical meaning of this dataset is : FOREGND - neural impulse energy BACKGND - average neural potentialfor ideas, suggestions, etc. mail me attudima at y a h o o dot com

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Backgnd,  Execute,  Foregnd,  Hotplotbackgnd,  Imgrgb,  Newsgroup,  Nlength,  Position,  Referential,  Values
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