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One of the most common ways to calculate volume of a standing tree or of a log is by using the Doyle log rule. This formula uses the small end diameter of a log (D) (in inches) along with the log length (L) (in feet) to estimate the volume of a log. The Doyle log rule on average under estimates the volume of a log. See formula below:
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Same as en:Image:DJIA historical graph.svg, except logarithmic rather than linear. Log 10 applied to all values. From May, 1896 - Dec, 1900: monthly closings; Source: From Jan 4, 1901 - Dec 30, 2011: daily closings; Source: From Jan 3, 2012 - present; Source: See also: Linear version: Date: 6 May 2007 (original upload date) Source
The top left graph is linear in the X- and Y-axes, and the Y-axis ranges from 0 to 10. A base-10 log scale is used for the Y-axis of the bottom left graph, and the Y-axis ranges from 0.1 to 1000. The top right graph uses a log-10 scale for just the X-axis, and the bottom right graph uses a log-10 scale for both the X axis and the Y-axis.
Chart and optotype dimensions in millimeters precisely as specified by Ferris et al. (1982). LogMAR and VAR values after Baliey & Lovie (2013). Note: meters/feet not a direct conversion, but rather in Snellen equivalents (1 meter = 5 feet). Date: 10 January 2021: Source: Own work, after Ferris FL, Kassoff A, Bresnick GH, Bailey IL (1982).
English: S&P 500 Index Logarithmic Chart's Interesting Features. While S&P 500 data to linear plot scale is good for analysis of a span of 2 or 3 years, beyond that a logarithmic S&P 500 chart is best. This is because it gives the same Y or vertical displacement for a certain percentage move up or down regardless of date.
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The log scaler is subject to random "check scales" in which another scaler rescales exactly the same logs and the results are compared. The log scaler must be within + or - 1% of the gross scale and + or - 2% of the net scale to keep their certification to scale. The scale is used for payment, quality control and inventory purposes.