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Algorithm: Generate Uniformely Distributed Points on 2-Sphere

More efficient algorithm that only allows for generating points on the 2-Sphere.

See publication below for theory on the algorithm.
Paper: Min-Zhi Shao and Norman Badler. Spherical sampling by archimedes' theorem. Technical Report, University of Pennsylvania Department of Computer and Information Science, 1996.
Tags: sphere distribution
Usage: Algorithm is public.
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Florian Pfaff
01/26/2013 12:06 p.m. (version #1)

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Using this algorithm in your local MATLAB environment is easy: Click here for instructions!

Usage Instructions for CloudRunner Client

  1. Download the CloudRunner Client by clicking here and place the downloaded file in your MATLAB working directory.

  2. Inside MATLAB, initialize the CloudRunner Client by calling CloudRunner:
    >> CloudRunner

    A login dialog will prompt for your CloudRunner mail address and password. For a start, you can leave the dialog empty and just click "Connect".

    Alternatively, you can provide the login credentials (or empty strings to skip login) as a parameter and hence skip the login dialog. This is useful when using CloudRunner in non-interactive scripts.
    >> CloudRunner('', 'password')

  3. Select this algorithm by its URL. Selecting an algorithm creates the lambda function that proxies calls to the algorithm to the server for execution:
    >> CloudRunnerSelect('')

    For the sake of convenience, you can also use the algorithm ID instead of its URL for public algorithms.

  4. Call functions from the algorithm like any regular local function.

Note: You can find further information on the help page.

Source Code


 1 function [x,y,z]=randomPointsOn2Sphere(numberOfPoints)
 2 %   Generates uniformly distributed points on the 2-Sphere. 
 3 %   @author Florian Pfaff
 4 %   @date 2013
 5     phi=2*pi*rand(numberOfPoints,1);
 6     z=rand(numberOfPoints,1)*2-1;
 7     r=sqrt(1-z.^2);
 8     x=r.*cos(phi);
 9     y=r.*sin(phi);
10 end
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