Graduate Theses & Dissertations

Investigation of a Model for Stain Selection and a Robust Estimation for Area of Origin in Bloodstain Pattern Analysis
Bloodstain pattern analysis is fundamental to crime scene investigations by providing insight into the estimation of the area of origin of a blood source. The selection of bloodstains from an impact pattern is the foundation from which the estimation of the area of origin is derived. The purpose of this research was to develop a theoretical model for stain selection and establish a more robust estimation for the area of origin in the analysis of impact patterns. This model was developed by using quantitative data from marked zones on the impact pattern target surface. The minimum distance between the known blood source location and a single bloodstain line of trajectory was calculated for every bloodstain within each pattern investigated. It has been determined that the zone location of a bloodstain is relevant for improving accuracy, and that stains with all alpha angles can be used to calculate an area of origin estimation. Finally, research within this thesis also validated directional analysis and investigated the number of stains that may be required for a precise area of origin estimation. Keywords: Forensic science, Bloodstain, Impact pattern, Bloodstain pattern analysis, Statistics, Forensic Physics

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