For modern data analysis, it performs arithmetic and geometric calculations in metric units alongside logarithmic calculations in phi ( ) units using the mathematical . 3. Textural Classification
There is a slight ambiguity regarding the naming convention of the software. While the original groundbreaking paper was published in 2001, the software has undergone updates to keep up with changes in the Windows OS and Excel architecture. Versions 8.0 and 9.1 are the most well-known stable releases.
Instead of forcing researchers to write complex code or purchase expensive proprietary software, GRADISTAT leverages the ubiquitous environment of Excel. It accepts raw data from standard physical sieving, laser granulometry, or pipette analysis, and automatically outputs a comprehensive suite of statistical parameters, charts, and physical descriptions. Key Features of GRADISTAT Version 9.1 gradistat v 91 link
Navigate to the input sheet. Input your sample identification names along with the weight retained on each physical sieve size, or the percentage breakdown provided by your laboratory's laser granulometer. 4. Run the Calculations
: Currently listed as the main updated version, suitable for Excel versions up to 2010 . For modern data analysis, it performs arithmetic and
It automatically solves for Sample Mean, Mode(s), Standard Deviation (Sorting), Skewness, and Kurtosis. Percentile Data: It extracts critical d-values including D10cap D sub 10 D50cap D sub 50 (median), and D90cap D sub 90 used widely in engineering and engineering geology.
Prepare Your Data: Ensure you have your sieve sizes (in microns or phi) and the corresponding weights or percentages. While the original groundbreaking paper was published in
The program matches statistical mathematical outputs to automated physical descriptions. It auto-generates exact nomenclature based on standard Udden-Wentworth size classes and Folk’s textural groups (e.g., "moderately sorted fine sand").
: Blott and Pye (2001) provides the theoretical background and a breakdown of the statistics used in the program.