: Calculates output metrics via both traditional logarithmic Folk & Ward (1957) formulas alongside classic arithmetic or geometric Methods of Moments.
Gradistat was a Microsoft Excel macro–driven program, first released in the late 1990s and most famously updated around version 8.0. It automated the calculation of grain-size statistics (mean, sorting, skewness, kurtosis) from sieve or laser diffraction data. Before Gradistat, you did this by hand with a calculator and graph paper, or by wrestling with awkward statistical packages. After Gradistat? Click a button, wait 12 seconds, and generate a table worthy of Sedimentology .
: Allows users to tag specific samples as "hot" in the Excel input sheet to automatically adjust the calculation of sorting, skewness, and kurtosis based on known thermal impacts.
Using GRADISTAT v9.1 is straightforward, even for researchers who are not Excel experts. The general workflow follows these steps:
(Median) : The middle-ground metric splitting the sample distribution. D90cap D sub 90 gradistat v 91 hot
: Captures small shifts in ultra-fine clay or coarse gravel, though outlier grains can easily skew results. 2. The Folk & Ward Graphical Method
: Measures that show symmetry, bias, and peak sharpness in grain size distribution. Key Statistical Methodologies
: The program provides results using both moment and Folk and Ward graphical methods . Statistics are generated arithmetically (metric units), geometrically (metric units), and logarithmically (phi units).
: Uses a trained neural network to predict depositional environments (e.g., aeolian, fluvial, or marine) based on your sample's unique grain size fingerprint. : Calculates output metrics via both traditional logarithmic
The second theory is more human: the developer’s unofficial patch was named after a late-night coding binge in a humid Australian Quaternary lab, where someone wrote on the whiteboard: “Fix the Folk & Ward bug — make it HOT.”
: By clicking the "Calculate Statistics" button, the program runs complex macros to derive distribution curves and textural parameters.
is a trending keyword in sedimentology, geomorphology, and environmental engineering circles. It refers to the highly anticipated update of the industry-standard grain size analysis macro software. Originally developed in 2001 by Dr. Simon J. Blott and published alongside Professor Kenneth Pye, the program revolutionized how laboratories evaluate unconsolidated sediments.
| Problem | Solution | |---------------------------------------------|----------------------------------------------------------------------------------| | | In Excel, go to File → Options → Trust Center → Trust Center Settings → Macro Settings → Enable all macros (then restart Excel). | | GRADISTAT won’t run on Excel 365 / 2021 | Try the compatibility mode or use GRADISTAT v8.0 instead. Alternatively, use the G2Sd package in R. | | Missing plugins / buttons not working | Re‑download the original GRADISTAT.zip from the Wiley site, extract it again, and ensure you are not opening the file from a ZIP archive directly. | | Data transpose errors | If your grain size classes are in rows but GRADISTAT expects them in columns, use Excel’s “Paste Special → Transpose” before copying. | | “Gradistat” vs. “Gradustat” confusion | Make sure you are searching for the sedimentology software, not the heating valve. | Before Gradistat, you did this by hand with
Below is a assuming you have run a grain-size analysis using Gradistat v9.1 and need to present the results professionally. I'll include sections, key outputs from Gradistat, and interpretation guidance.
Assessing grain size in coastal zones to mitigate erosion and flood risks.
: Users can generate comprehensive summary sheets for individual samples or multiple sample comparisons. Software Versions