Soil Analysis Toolkits

GIS & Data Analysis Overview

The Geospatial Laboratory for Soil Informatics (GLSI) provides a suite of tools designed to enhance spatial analysis, soil data processing, and landscape evaluation. These toolkits support error propagation, particle size analysis, terrain modeling, and soil classification, making them valuable resources for researchers, educators, and land managers.

Explore our ArcGIS toolboxes and Excel macros to improve data accuracy, uncertainty quantification, and geospatial modeling in soil and environmental sciences.

Error Propagation Toolbox

This ArcGIS toolbox provides a method for quantifying uncertainty in spatial analyses. It applies standard error propagation equations to assess the reliability of calculations, particularly in modeling and raster-based computations. This tool is essential for spatial layer mashups, where input variables from different grids contribute to calculated outcomes.

Particle Size Analysis Toolpack v2

A comprehensive toolkit designed for processing continuous particle size curves from laser diffractometry. This zip file includes:

• Export templates for Malvern software
• Quality control analysis templates
• Reporting templates for structured results
• Data filters for removing larger particle peaks in bimodal distributions

Relief Analysis Toolbox

This ArcGIS toolbox offers a streamlined method for calculating hillslope position from elevation grids. In addition to its primary function, it includes models for landscape and landform segmentation, making it a valuable tool for terrain analysis and geomorphology research.

USDA Soil Texture Class Macro

A custom Excel macro for automatically calculating USDA soil texture classes based on soil separate percentages. This function can be applied across multiple cells, enabling efficient and accurate classification of soil textures for research, agriculture, and land management applications.