Gradistat V 91 Hot ✦
The core idea behind GRADISTAT is to automate the calculation of grain size statistics. It can handle single samples or large batches of samples, producing a wide array of parameters with just a few clicks.
The process is designed to be efficient for a single sample, but its real power is revealed when analyzing hundreds of samples, as it completely automates what would otherwise be days of manual spreadsheet work.
Studying soil composition, contamination transport, and particle transport in waterways. gradistat v 91 hot
: Allows multiple researchers to feed data into a central "Live Spreadsheet" from different lab workstations simultaneously.
Flags a surplus of fine muds or coarse gravels, signaling shifting environmental states. Peak sharpness or flatness The core idea behind GRADISTAT is to automate
A key factor in the popularity of GRADISTAT v9.1 is its compatibility with various operating systems. As it is built on the Microsoft Excel platform, it runs on any system that can support the requisite version of Excel. This includes modern versions of Windows and, with the appropriate Excel version, macOS.
GRADISTAT processes your distribution curves using two fundamentally different mathematical principles. Reviewing both ensures your data interpretation is sound. Statistical Metric Method of Moments Folk & Ward Graphical Geological Meaning Uses the entire distribution curve Evaluates selected percentages ( Overall average energy of the depositional environment. Sorting Mathematical standard deviation Interpolated graphic standard deviation Indication of sediment transport consistency or duration. Skewness Measures total curve asymmetry Focuses on tails of the distribution Highlights presence of excess fine or coarse material. 🗺️ Visualizing Sediment Distribution Peak sharpness or flatness A key factor in
Particle size arithmetic and geometric in metric units. Sorting: Sorting statistics in (phi) units.
: Automatically flags "noisy" samples that may have been contaminated during sieving or laser analysis. 2. Enhanced Dynamic Visualization
The package automatically splits sediment components into Sand, Silt, and Clay. It plots them on a triangular graph to instantly determine whether a sample is a sandy mud, muddy sand, or pure gravelly sand. 🛠️ Troubleshooting Common Spreadsheet Errors
Sample: S-01 Method: Graphical (Folk & Ward) Mean (Mz) : 2.12 φ Sorting (σI) : 0.69 φ Skewness (SKI): 0.23 Kurtosis (KG) : 1.18 Mode(s) : 2.00 φ D10, D50, D90 : 1.15 φ, 2.10 φ, 3.05 φ