An online application for the classification and evidence evaluation of forensic glass fragments

Gary Napier, Agostino Nobile, Tereza Neocleous

Research output: Contribution to journalArticlepeer-review

Abstract

We present an easy-to-use and freely accessible online application for the analysis of forensic glass fragments. The application is browser based and takes as input .csv or .txt files containing measurements from glass fragments obtained using a scanning electron microscope with an energy-dispersive X-ray (SEM-EDX) spectrometer. The application was developed to (i) classify glass fragments into use-type categories (classification), and (ii) compute the evidential strength of two sets of fragments under competing propositions (evidence evaluation). Detailed examples of how to use the application for both tasks are given, which highlight its user-friendly interface. The suitability of the statistical methods used by the application was checked using simulation studies, and improvements upon previous methods were found in both tasks.
Original languageEnglish
Pages (from-to)418-425
Number of pages8
JournalChemometrics and Intelligent Laboratory Systems
Volume146
DOIs
Publication statusPublished - 15 Aug 2015

Bibliographical note

© 2015 Elsevier B.V. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Keywords

  • Bayes factor
  • Chemical composition
  • SEM-EDX analysis

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