The software,, designed as a Microsoft Excel workbook (macro-enabled), allows users to enter sieve or laser granulometer data and instantly calculate key statistical parameters based on both Folk and Ward’s and logarithmic methods. Key Features of GRADISTAT v9.1

📍 Gradistat v 9.1 remains the most cost-effective and user-friendly tool for sedimentological analysis. It bridges the gap between manual spreadsheets and expensive proprietary software.

Kenneth Pye Associates Ltd (KPAL): The primary host for the software and its updates.

Enter the weight or percentage of sediment retained on each sieve. Input the weight retained in the "pan" (fines). 3. Running the Analysis

Gradistat v91 is a version of Gradistat, a software package used for grain-size distribution analysis and sedimentology. It provides tools for importing sediment data (phi or millimeter units), computing descriptive statistics (mean, median, mode, standard deviation, skewness, kurtosis), performing graphical outputs (histograms, cumulative curves, probability plots), and applying standard grain-size sorting models (Folk & Ward, graphical methods). v91 denotes a release with incremental feature updates and bug fixes over previous builds.

GRADISTAT was developed by Simon J. Blott and Kenneth Pye, with its methodology and original software published in 2001 in the journal Earth Surface Processes and Landforms . The program was designed for the rapid analysis of grain size statistics from data obtained through standard measuring techniques like sieving and laser granulometry. Its integration into Microsoft Excel made it extremely versatile, accepting both standard and non-standard size data and producing key graphical outputs.

| Software | Platform | Key Strengths | Grade for GradiStat Users | | :--- | :--- | :--- | :--- | | | R (with a web interface) | An evolution of GradiStat v4.0. Performs all the same statistics plus more. Highly active development. Has a user-friendly web-based GUI. | Excellent | | QGrain | Python (standalone) | A comprehensive platform for GSD analysis. Includes traditional tools and advanced algorithms like End-Member Modeling Analysis (EMMA) and Single-Sample Unmixing (SSU). | Very Good | | GrainSizeTools | Python (script) | Cross-platform, open-source. Focuses on grain size population characterization and 3D stereology for 2D section data. | Good |

Calculated in metric units (micrometers/millimeters). Geometric Method of Moments: Calculated in metric units.

Whether you are performing facies analysis on coastal sands or evaluating soil samples for engineering purposes, GRADISTAT offers several advantages:

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: It automatically assigns descriptive terms based on calculated statistics, such as sediment names following the Folk (1954) classification system. 3. Visual and Graphical Output

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