Gradistat V 91 Free

The software computes up to 14 statistical parameters using three different methods:

Best for explaining the value to students or peers.

Title: 🛑 Stop calculating grain size stats by hand! Gradistat v9.1 (Free) is here.

Body: Hey everyone,

If you are working on your thesis or a research project involving sediment analysis, checking out Gradistat v9.1 is a must.

It’s a spreadsheet-based tool (developed by Simon Blott) that calculates standard grain size statistics using the method of moments and the Folk and Ward method. It saves hours of work by automatically generating cumulative curves and statistical outputs.

It is totally free for non-commercial use. gradistat v 91 free

Key features in v9.1:

Link: [Insert Link Here]

Hope this helps save some time during crunch week! The software computes up to 14 statistical parameters

Despite its popularity, users report recurring problems:

  • Grain-size distribution analyses:
  • Standard methods implemented: Folk & Ward (1957), Trask (1932), graphical methods (e.g., cumulative curves), and moment method. Options to switch between protocols or report multiple methods for comparison.
  • Export and reporting: export tables and plots to common formats (CSV, TXT, PNG) and generate printable summary reports.
  • Batch processing: apply analyses across multiple samples and compile comparative tables and plots.
  • Quality control: error checking for inconsistent input (non-monotonic cumulative percentages, negative sizes), and warnings for small sample sizes that can bias statistics.

    • Gradistat V91 is an older Windows utility for analyzing and processing granulometry data, widely used in geology, sedimentology, and civil engineering for grain-size distribution, statistical parameters (mean, median, sorting), and plotting cumulative and frequency curves.

    You will see:

    When reporting results, include: software name (Gradistat), version (v91), date of analysis, and which calculation methods were used (e.g., Folk & Ward graphical method). This aids reproducibility and comparison across studies.