The soilspec package: data and functions for the book 'Soil Spectral Inference with R'

An R implementation of the DSMART algorithm

R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.

This repository contains files for automated soil sampling selection using the K-Means algorithm in R. The repository is intended for researchers and practitioners interested in automated soil sampling selection using the K-Means algorithm.

Soil Heating in Fire (SheFire) Model: Annotated .Rmd scripts and an R package to build and use a SheFire model for how different soil depths heat and cool during fires

Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features

The fingR package is designed to support sediment source fingerprinting studies: dataset characterisation, tracer selection from analysed properties using the three-step method, modelling of source contributions using the Bayesian Mixing Model (BMM), and evaluation of model predictions using virtual mixtures, and it supports BMM and MixSIAR models.

This repository collects material (code, presentation, images, test data) prepared for the webinar series of the Excalibur H2020 Training

Soil Heating in Fire (SheFire) Model: Annotated .Rmd scripts and an R package to build and use a SheFire model for how different soil depths heat and cool during fires

This was a final data project for my isotopes class at Purdue. It might not be perfect because it has being a while and it was one of my first projects using R.

This repository contains the R code associated with our research paper on soil health practices, developed in collaboration with the Nebraska Healthy Soils Task Force (NE-HSTF).