Does "lab2rgb" use the Bradford chromatic adaptation matrix?
MATLAB: Does “lab2rgb” use the Bradford chromatic adaptation matrix
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To create colors manually and assign them to the marker values, start with the RGB values of last desired color in the shade, say light pink for this example (i.e. [255, 192, 203]) and then scale the values down to [0,1]. These are then used to generate a linearly spaced vector "colors_p" which provides a smoother gradient from red to pink.
% Display map of the world using default Plate Carree projection
geoshow('landareas.shp', 'FaceColor', [0 0 0]);% create a default color map ranging from red to light pink
length = 5;red = [1, 0, 0];pink = [255, 192, 203]/255;colors_p = [linspace(red(1),pink(1),length)', linspace(red(2),pink(2),length)', linspace(red(3),pink(3),length)'];% plot random markers on the map and assign them the colors created
S=10; % marker size
geoshow(randi([-90,90]),randi([-180,180]), 'DisplayType', 'point','marker','^','MarkerEdgeColor','k','MarkerFaceColor',colors_p(1,:),'markersize',S); hold on;geoshow(randi([-90,90]),randi([-180,180]), 'DisplayType', 'point','marker','^','MarkerEdgeColor','k','MarkerFaceColor',colors_p(2,:),'markersize',S); hold on;geoshow(randi([-90,90]),randi([-180,180]), 'DisplayType', 'point','marker','^','MarkerEdgeColor','k','MarkerFaceColor',colors_p(3,:),'markersize',S); hold on;geoshow(randi([-90,90]),randi([-180,180]), 'DisplayType', 'point','marker','^','MarkerEdgeColor','k','MarkerFaceColor',colors_p(4,:),'markersize',S); hold on;geoshow(randi([-90,90]),randi([-180,180]), 'DisplayType', 'point','marker','^','MarkerEdgeColor','k','MarkerFaceColor',colors_p(5,:),'markersize',S); hold on;legend('a', 'b', 'c', 'd', 'e', 'Location', 'northwestoutside')legend('boxoff')
These custom colors can also be applied to "colormap" of any surface plot. See the following example,
surf(peaks)length = 5;red = [1, 0, 0];pink = [255, 192, 203]/255;colors_p = [linspace(red(1),pink(1),length)', linspace(red(2),pink(2),length)', linspace(red(3),pink(3),length)'];colormap(colors_p)
Note: Using the "colormapeditor" GUI is a neat way of generating these color vector, since the results can be visually adjusted and modified on the go. For an opened figure, this can be done by changing the number of 'Node Pointers' and adjusting them to desired color values in 'colormapeditor' window.
The code you provided seems to be in Octave, not MATLAB syntax.
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