Documentation

This repo is accompanying the publication: “The Use of Computational Fingerprinting Techniques to Distinguish Sources of Accelerants Used in Wildfire Arson”.

Users need to first install R with this link and Rstudio with this link.

This workflow ran on Windows 11 OS 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz, 16 GB RAM;

The RStudio version used in this demo is 2023.06.0+421 “Mountain Hydrangea” Release for Windows;

The R version used in this demo is 4.3.1

Data processing

First, the following R packages are installed and loaded in the global the environment along with in-house built functions to minimize repetitiveness in the code.

Details about these functions can be found in Data processing & Normalization.R file in this repo.

PCA

Further details on the package and PCA functions used can be found in folder demo analysis, under the following files: demo analysis_stats_RQ1 & RQ2.R and demo_analysis_PCA_RQ1 & RQ2.R