SphericalDescriptiveStatistics Class |
Provides descriptive statistic methods suited for spherical data. Since the spherical surface is embedded in Cartesian space,
the data set is provided as a list of UnitCartesian directions locating the data points on the unit sphere.
The algorithms are based on the mathematics found in "Directional Statistics" by Mardia and Jupp.
Inheritance HierarchyNamespace: AGI.Foundation
Assembly: AGI.Foundation.Core (in AGI.Foundation.Core.dll) Version: 24.2.419.0 (24.2.419.0)
SyntaxThe SphericalDescriptiveStatistics type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | DispersionAboutPosition |
Calculates the dispersion about a given input position.
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| MeanDirection |
Calculates the mean direction of a list of data.
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| MeanResultantLength |
Calculates the mean resultant length of a list of data.
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| MeanVector |
Computes the mean vector.
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| MedianDirection(IListUnitCartesian) |
Calculates the median direction of the data by using a simplex heuristic optimizer.
The calculation method of the optimizer defaults to NormalizedSpatialMedian which minimizes the normalized spatial median function.
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| MedianDirection(IListUnitCartesian, SphericalMedianCalculationMethod) |
Calculates the median direction of the data by using a simplex heuristic optimizer.
The optimizer minimizes the normalized spatial median function or the embedded R^3 arc distance function to compute the median.
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| MedianDirection(IListUnitCartesian, SphericalMedianCalculationMethod, MultivariableFunctionSolverResultsMultivariableFunctionSolverIterationResults) |
Calculates the median direction of the data by using a simplex heuristic optimizer.
The optimizer minimizes the normalized spatial median function or the embedded R^3 arc distance function to compute the median.
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| ScatterMatrix |
Calculates the scatter matrix based upon the input data.
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| Variance |
Calculates the variance of a list of data.
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See Also