Measurement of Areas on a Sphere Using Fibonacci and Latitude–Longitude Lattices

By Álvaro González. 2009

491 citations recorded by the source corpus.

The area of a spherical region can be easily measured by considering which sampling points of a lattice are located inside or outside the region. This point-counting technique is frequently used for measuring the Earth coverage of satellite constellations, employing a latitude–longitude lattice. This paper analyzes the numerical errors of such measurements, and shows that they could be greatly reduced if the Fibonacci lattice were used instead. The latter is a mathematical idealization of natural patterns with optimal packing, where the area represented by each point is almost identical. Using the Fibonacci lattice would reduce the root mean squared error by at least 40%. If, as is commonly the case, around a million lattice points are used, the maximum error would be an order of magnitude smaller.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/ad1c862d61b84cdbf74ea7b001f31b3f8934dedd

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In Computer Graphics and Computer-Aided Design

  1. Guanbin Li
  2. Robert Haase
  3. Uwe Schmidt
  4. Lori S. Levin
  5. Liang Lin
  6. Tianshui Chen
  7. Ko Sugawara
  8. Carlisle Turner

In Computer Vision and Pattern Recognition

  1. Liang Lin
  2. Tianshui Chen
  3. Guanbin Li
  4. Robert Haase
  5. Uwe Schmidt
  6. Lori S. Levin
  7. Ko Sugawara
  8. Carlisle Turner

In Statistical and Nonlinear Physics

  1. Guanbin Li
  2. Robert Haase
  3. Uwe Schmidt
  4. Lori S. Levin
  5. Liang Lin
  6. Tianshui Chen
  7. Ko Sugawara
  8. Carlisle Turner

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