stipple creates a hatch filling or stippling within a grid. This function is designed primarily to show regions of statistical significance in spatial maps.
stipple(x,y,mask) stipple(...,MarkerProperty,MarkerValue,...) stipple(...,'density',DensityValue) stipple(...,'resize',false) h = stipple(...)
stipple(x,y,mask) plots black dots in x,y locations wherever a mask contains true values. Dimensions of x, y, and mask must all match.
stipple(...,MarkerProperty,MarkerValue,...) specifies any marker properties that are accepted by the plot function (e.g., 'color', 'marker', 'markersize', etc).
stipple(...,'density',DensityValue) specifies density of stippling markers. Default density is 100, but if your plot is too crowded you may specify a lower density value (and/or adjust the markersize).
stipple(...,'resize',false) overrides the 'density' option and plots stippling at the exact resolution of the input grid. By default, the grids are resized because any grid larger than about 100x100 would produce so many stippling dots it would black out anything under them.
h = stipple(...) returns a handle of the plotted stippling objects.
Here's an example you can try at home, which uses peaks to create a 1000x1000 grid of data:
% Load some sample data: [X,Y,Z] = peaks(1000); pcolor(X,Y,Z) shading interp hold on
Let's say everywhere Z exceeds 2.5 should have stippling:
mask = Z>2.5; stipple(X,Y,mask)
Example 2: Specify color
If you prefer gray dots to the default black dots, do this:
stipple(X,Y,mask,'color',0.5*[1 1 1])
Example 3: Specify density
Too many dots? Specify whatever density you'd like. The default density is 100, so values lower than that will produce fewer dots, whereas higher values produce more dots. (Specify 'resize',false if you want the density to exactly match the input grids.).
figure pcolor(X,Y,Z) shading interp hold on stipple(X,Y,mask,'density',30)
Example 4: Specify several options at once:
To set everything just the way you like it, specify as many options as you'd like. Here we'll plot big red plus signs:
This function was written by Chad A. Greene, August 2018.