Gradistat V 91 Hot __exclusive__

: Moves beyond static 2D Gravel-Sand-Mud triangles to interactive 3D models where you can rotate and zoom to see sample clusters.

: Ensure your size classes are entered in a consistent order (ascending or descending) in the "Multiple Sample Data Input" sheet. Handle the "Pan" Correctiy gradistat v 91 hot

: One of the standout features of Gradistat V 9.1 is its advanced convergence algorithms. These improvements ensure faster and more reliable convergence on optimal solutions, even in challenging scenarios. : Moves beyond static 2D Gravel-Sand-Mud triangles to

: Accepts data from various standard measuring techniques, including sieving (weight retained) and laser granulometry (percentage in size classes). Some of the most significant benefits include: Sample:

The advantages of using Gradistat V 9.1 are numerous. Some of the most significant benefits include:

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