2015
DOI: 10.1371/journal.pone.0118537
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Confidence Analysis of Standard Deviational Ellipse and Its Extension into Higher Dimensional Euclidean Space

Abstract: Standard deviational ellipse (SDE) has long served as a versatile GIS tool for delineating the geographic distribution of concerned features. This paper firstly summarizes two existing models of calculating SDE, and then proposes a novel approach to constructing the same SDE based on spectral decomposition of the sample covariance, by which the SDE concept is naturally generalized into higher dimensional Euclidean space, named standard deviational hyper-ellipsoid (SDHE). Then, rigorous recursion formulas are d… Show more

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Cited by 153 publications
(118 citation statements)
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“…After the EFT, once each flash is represented by the corresponding ellipse, the lengths of the ellipse were computed according to the covariance matrix (Orechovesky, 1996;Ray and Srivastava, 2008;Wang et al, 2015). The length of the major axis is used to estimate the lightning maximum length.…”
Section: Confidence Intervals and Ellipse Fittingmentioning
confidence: 99%
“…After the EFT, once each flash is represented by the corresponding ellipse, the lengths of the ellipse were computed according to the covariance matrix (Orechovesky, 1996;Ray and Srivastava, 2008;Wang et al, 2015). The length of the major axis is used to estimate the lightning maximum length.…”
Section: Confidence Intervals and Ellipse Fittingmentioning
confidence: 99%
“…The theory follows the approach of Wang et al [2015] and states that s = (x, y) T being a function in a twodimensional space and E(s) = (E(x), E(y)) T = (μ x , μ y ) T , the mean value of the random variable s, where…”
Section: Appendix A: Bivariate Spatial Distribution Of Tectonic Tremorsmentioning
confidence: 99%
“…The geometry of the SDE is essentially determined by three properties of the point-set: mean location, dispersion, and orientation [30]. To our purpose, only orientation is relevant.…”
Section: Methodsmentioning
confidence: 99%