Gradistat | V 91 Free
Despite its popularity, users report recurring problems:
Have questions? Check the README sheet inside Gradistat or search geoscience forums like GeoNet, ResearchGate, or the SEPM discussion board.
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GRADISTAT is a particle size analysis software program that runs within Microsoft Excel
. It is widely used by geomorphologists and sedimentologists to calculate grain size statistics from sieve or laser granulometry data. Harvard University Versions and Availability
The software is traditionally available for free through university or research organization websites. While the user mentioned "v 9.1," public releases historically include: Kenneth Pye Associates Ltd Version 8.0 gradistat v 91 free
: An updated version released in 2010 for Excel versions up to 2010. GRADISTAT-PRO
: A revised version with greater functionality currently under development.
: An R package evolution of GRADISTAT v4.0 for users preferring the R programming environment. Kenneth Pye Associates Ltd Key Features Statistical Methods
: Calculates mean, mode, sorting, and skewness using both Method of Moments and Folk and Ward (1957) graphical methods. Data Compatibility
: Accepts weight retained on sieves or percentage sediment detected by laser granulometers. Graphical Output Word count: Approx
: Produces frequency and ternary plots (e.g., Gravel-Sand-Mud) within Excel. Harvard University Where to Find It
You can typically download legitimate free versions of the Excel macro from the following sources: GRADISTAT software - Kenneth Pye Associates Ltd
1. Laser Focus on Univariate Optima 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.
2. Truly Free & Portable No license. No online activation. The entire program often runs off a USB stick. For fieldwork or working on ancient lab computers, this is a lifesaver.
3. Deterministic & Transparent Unlike black-box machine learning, GradiStat shows you the iteration steps. You can literally see the log-likelihood converging. For teaching gradient analysis concepts, this transparency is invaluable. If you want, I can:
Gradistat (Version 9.1) is a Microsoft Excel macro-enabled workbook developed by Simon J. Blott and Kenneth Pye of the now-closed Kenneth Pye Associates Ltd. (later part of Foster Wheeler). It was first introduced in the early 2000s and became the industry standard because it automated the tedious, error-prone process of calculating Folk and Ward (1957) graphical statistics, moments statistics, and the logarithmic method of moments.
Key Facts:
If you want, I can:
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