Gradistat V 91 Free _best_ Jun 2026

The software runs as a macro-enabled workbook within , making it highly accessible to anyone familiar with spreadsheet software. It accepts grain size data from all standard measurement techniques, including dry and wet sieving, laser granulometry, sedimentation, X-ray sedigraphy, and Coulter counter analysis.

Version 9.1 carries forward the core analytical capabilities, including:

: A fully revised version with more functionality is currently under development as of 2024. Kenneth Pye Associates Ltd Key Features Rapid Calculation : Can process approximately 50 samples per hour. Statistical Outputs : Calculates mean, mode, sorting, and skewness using both Folk and Ward (1957) method of moments calculations. Graphical Outputs

(such as Microtrac or Malvern systems) X-ray sedigraphs and Coulter counters Key Calculations Performed by GRADISTAT gradistat v 91 free

A mathematical approach utilizing the entire weight distribution.

The core algorithm (often based on Gaussian logit regression) is surprisingly robust. For calculating where a species really peaks along a single gradient (e.g., pH, depth, temperature), v9.1 outperforms many bloated modern suites. It handles skewed distributions better than simple weighted averaging.

To access Gradistat V 9.1 for free, follow these steps: The software runs as a macro-enabled workbook within

Released in 2010 for Excel versions up to 2010.

It calculates particle size statistics (mean, mode, sorting, skewness) for sieve or laser granulometer data using Folk and Ward (1957) and method of moments techniques.

Download the GRADISTAT spreadsheet ( .xlsm for modern Excel or .xls for older versions). Kenneth Pye Associates Ltd Key Features Rapid Calculation

GRADISTAT is a specialized computer program designed to calculate grain size statistics from sedimentary data. It works within Microsoft Excel, utilizing Visual Basic for Applications (VBA) macros to automate complex calculations.

Measures the peakedness of the distribution curve. Step-by-Step Guide: Running a Particle Analysis