42c368f4-2257-4e99-87e5-f00d2e9f909f urn:uuid eng UTF-8 nonGeographicDataset nonGeographicDataset 2025-11-18T21:53:54 creation ISO 19115 2016 Forensic soil provenancing in an urban/suburban setting: a simultaneous multivariate approach 42c368f4-2257-4e99-87e5-f00d2e9f909f Soil is a ubiquitous material at the Earth's surface with potential to be a useful evidence class in forensic and intelligence applications. Compositional data from a soil survey over North Canberra, Australian Capital Territory, are used to develop and test an empirical soil provenancing method. Mineralogical data from Fourier Transform InfraRed spectroscopy (FTIR) and geochemical data from X-Ray Fluorescence (XRF; for total major oxides) and Inductively Coupled Plasma-Mass Spectrometry (ICP-MS; for both total and aqua regia-soluble trace elements) are obtained from the survey's 268 topsoil samples (0–5 cm depth; 1 sample per km2). The simultaneous provenancing approach is underpinned by (i) the calculation of Spearman's correlation coefficients (rS) between an evidentiary sample and all the samples in the database for all variables generated by each analytical method; and (ii) the preparation of an interpolated raster grid of rS for each evidentiary sample and method resulting in a series of provenance rasters (“heat maps”). The simultaneous provenancing method is tested on the North Canberra soil survey with three “blind” samples representing simulated evidentiary samples. Performance metrics of precision and accuracy indicate that the FTIR (mineralogy) and XRF (geochemistry) analytical methods offer the most precise and accurate provenance predictions. Maximizing the number of analytes/analytical techniques is advantageous in soil provenancing. Despite acknowledged limitations, it is concluded that the empirical soil provenancing approach can play an important role in forensic and intelligence applications. Citation: de Caritat, P, Woods, B, Simpson, T, Nichols, C, Hoogenboom, L, Ilheo, A, et al. Forensic soil provenancing in an urban/suburban setting: A simultaneous multivariate approach. J Forensic Sci. 2022; 67: 927–935. https://doi.org/10.1111/1556-4029.14967 {"type": "Polygon", "coordinates": [[[148.8, -35.7], [149.5, -35.7], [149.5, -35.1], [148.8, -35.1], [148.8, -35.7]]]} 148.8 149.5 -35.7 -35.1 EARTH SCIENCES Geographic Information System (GIS) Published_External Soil forensics Spearman correlation coefficients (rS) geochemical mapping interpolation performance soil properties Link to Journal documentDigital Link to Journal HTML