V 91 Hot — Gradistat

G2Sd: Grain-Size Statistics and Description of Sediment - CRAN

Analyzing beach sediment stability and transport.

Sample: S-01 Method: Graphical (Folk & Ward) Mean (Mz) : 2.12 φ Sorting (σI) : 0.69 φ Skewness (SKI): 0.23 Kurtosis (KG) : 1.18 Mode(s) : 2.00 φ D10, D50, D90 : 1.15 φ, 2.10 φ, 3.05 φ gradistat v 91 hot

Gradistat accepts data from sieve analyses (mass retained) or laser diffraction particle size analyzers (volume percentages).

: Automatically flags "noisy" samples that may have been contaminated during sieving or laser analysis. 2. Enhanced Dynamic Visualization G2Sd: Grain-Size Statistics and Description of Sediment -

Inclusive Graphic Standard Deviation (Sorting, σI)=ϕ84−ϕ164+ϕ95−ϕ56.6Inclusive Graphic Standard Deviation (Sorting, sigma sub cap I close paren equals the fraction with numerator phi sub 84 minus phi sub 16 and denominator 4 end-fraction plus the fraction with numerator phi sub 95 minus phi sub 5 and denominator 6.6 end-fraction 2. The Mathematical Method of Moments

: Classifying samples from "very well sorted" (e.g., wind-blown desert sands) to "very poorly sorted" (e.g., glacial tills or fault gouges). : Identifying the average and most frequent grain sizes

: Identifying the average and most frequent grain sizes.

Cumulative or differential volume data. Core Statistical Outputs