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Log‐normal interpolation in grain size analysis
Author(s) -
BURGER HEINZ
Publication year - 1976
Publication title -
sedimentology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.494
H-Index - 108
eISSN - 1365-3091
pISSN - 0037-0746
DOI - 10.1111/j.1365-3091.1976.tb00057.x
Subject(s) - interpolation (computer graphics) , plot (graphics) , spline (mechanical) , mathematics , probability distribution , curve fitting , cumulative distribution function , log normal distribution , statistics , probability density function , computer science , artificial intelligence , motion (physics) , structural engineering , engineering
A computer program is described for the display of grain size distributions by log‐probability plots. These plots are useful to recognize and interpret log‐normal subpopulations. Because log‐probability plots of the cumulative curves often show two or more straight line segments we suggest a method of ‘log‐normal’interpolation for use in computing statistical parameters. The method combines advantages of graphical methods with those of mathematical moments. Finally, the frequency curve is derived by approximating the log‐probability plot of the cumulative curve with spline functions.