Evenly distributed points on a sphere

In summary, the conversation discusses the challenge of generating evenly distributed points on a sphere for a practical application. The first approach mentioned is using polyhedrons, but it is limited in the number of points it can produce. The second approach involves using a numeric technique to distribute points evenly, but it requires knowledge of the critical number of points to ensure consistency. The conversation also mentions two commonly used algorithms for this task and leaves the decision of which one to use up to the reader.
  • #1
Mike_In_Plano
702
35
I have a practical application which relies upon the generation of evenly distributed points on a sphere.

When I first considered this problem, I learned that some number of polyhedrons (Platonic polyhedrons) had each vertex lying evenly spaced from the others within the surface of a sphere. I also found that there was a finite number of these shapes and I needed far more points on my sphere (10's of thousands)

Next I learned that there was an accepted methodology to distribute points in a roughly even fashion through a numeric technique whereby each point is treated as having a repulsion to his neighbors and the system of points is adjusted until the net repulsion reaches a minimum.

This latter technique seems valid enough given that one knows the critical number of points to introduce to ensure that the distribution is even (i.e. the distances between points is consistent over all cases.) However, how does one go about finding N, such that all points may be evenly spaced?
 
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  • #2
If all points should have the same distances to other points, you are limited to archimedean solids and platonic solids. They allow up to 120 points, but the distribution is not really uniform.

This thread might be interesting.
 
  • #4
Thank you so much, MFB, and Jim. I especially like the link to the paper. Short and sweet :)

- Mike
 
  • #5


Thank you for sharing your practical application and your research on evenly distributed points on a sphere. This is a common problem in various fields of science and mathematics, and there are several approaches that can be taken to achieve an even distribution of points on a sphere.

One approach is to use a geometric construction known as the "Fibonacci sphere." This method involves placing points on a sphere in a spiral pattern that follows the Fibonacci sequence, resulting in evenly distributed points. This technique has been used in computer graphics and visualization to create realistic and evenly spaced particle systems.

Another approach is to use a numerical algorithm, similar to the one you mentioned, that minimizes the energy of the system by adjusting the positions of points until they are evenly distributed. This method is commonly used in molecular dynamics simulations to generate evenly spaced atoms on a spherical surface.

In terms of finding the optimal number of points, it will depend on the specific application and the desired level of accuracy. In some cases, a smaller number of points may be sufficient, while in others, a larger number may be necessary. This can be determined through experimentation and testing.

Overall, the generation of evenly distributed points on a sphere is an important problem with many practical applications. I encourage you to continue exploring different methods and techniques to find the best solution for your specific application.
 

1. What is the significance of evenly distributed points on a sphere?

Evenly distributed points on a sphere are important in various fields such as physics, mathematics, and computer science. They are used to study the behavior of particles and objects in 3-dimensional space, to model celestial bodies and their movements, and to generate random numbers for simulations and algorithms.

2. How are evenly distributed points on a sphere calculated?

The most common method for calculating evenly distributed points on a sphere is the Fibonacci spiral method, also known as the Golden Spiral method. This involves using the Fibonacci sequence to determine the coordinates of the points on the sphere. Other methods include the Halton sequence and the Hammersley sequence.

3. Can evenly distributed points on a sphere be used in 3-dimensional mapping?

Yes, evenly distributed points on a sphere can be used in 3-dimensional mapping. They can be used as a grid system for mapping out locations on the surface of a sphere, similar to how latitude and longitude lines are used for mapping locations on a globe.

4. Are there any limitations to evenly distributed points on a sphere?

While evenly distributed points on a sphere have many applications, they do have some limitations. One limitation is that it is not possible to have perfectly evenly distributed points on a sphere, as there will always be some small variations due to mathematical constraints. Additionally, the number of points that can be evenly distributed on a sphere is limited by the resolution of the calculation method used.

5. What are some real-world applications of evenly distributed points on a sphere?

Evenly distributed points on a sphere have a wide range of real-world applications. They are used in computer graphics for creating 3-dimensional objects and environments, in physics and astronomy for modeling and simulating celestial bodies, and in geospatial mapping for accurately representing locations on the surface of the Earth. They are also used in computer science for generating random numbers and in statistical analysis for sampling data.

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