Abstract
The analysis and interpretation of directional data requires specific data representations, descriptions and distributions. Directional data occurs in many areas, namely the Earth Sciences, Meteorology and Medicine. Note that directional data is an “interval type” data: the position of the “zero degrees” is arbitrary. Since usual statistics, such as the arithmetic mean and the standard deviation, do not have this rotational invariance, one must use other statistics. For example, the mean direction between 10° and 350° is not given by the arithmetic mean 180°.
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Marques de Sá, J.P. (2003). Directional Data. In: Applied Statistics Using SPSS, STATISTICA and MATLAB. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05804-6_10
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DOI: https://doi.org/10.1007/978-3-662-05804-6_10
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