Forensic soil provenancing in an urban/suburban setting: a sequential multivariate approach
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 Magnetic Susceptibility (MS), 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 performed on the survey’s 268 topsoil samples (0-5 cm depth; 1 sample per km2). Principal components (PCs) are calculated after imputation of censored data and centred logratio transformation. The sequential provenancing approach is underpinned by (i) the preparation of interpolated raster grids of the soil properties (including PCs); (ii) the explicit quantification and propagation of uncertainty; (iii) the intersection of the soil property rasters with the values of the evidentiary sample (± uncertainty); and (iv) the computation of cumulative provenance rasters (‘heat maps’) for the various analytical techniques. The sequential provenancing method is tested in the north Canberra soil survey with three ‘blind’ samples representing simulated evidentiary samples. Performance metrics of precision and accuracy indicate that the FTIR and MS (mineralogy), as well as XRF and total ICP-MS (geochemistry) analytical methods offer the most precise and accurate provenance predictions. Inclusions of PCs in provenancing adds marginally to the performance. Maximising the number of analytes/analytical techniques is advantageous in soil provenancing. Despite acknowledged limitations and gaps, it is concluded that the empirical soil provenancing approach can play an important role in forensic and intelligence applications.
<b>Citation:</b> de Caritat, P., Woods, B., Simpson, T., Nichols, C., Hoogenboom, L., Ilheo, A., Aberle, M.G. and Hoogewerff, J. (2021), Forensic soil provenancing in an urban/suburban setting: A sequential multivariate approach. <i>J Forensic Sci</i>, 66: 1679-1696.
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Identification info
- Date (Creation)
- 2020-12-11
- Date (Released)
- 2021-05-07
- Date (Publication)
- 2023-10-26T23:32:06
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Role Organisation / Individual Name Details Author de Caritat, P.
Author Woods, B.
Author Simpson, T.
Author Nichols, C.
Author Hoogenboom, L.
Author Ilheo, A.
Author Aberle, M.G.
Author Hoogewerff, J.
Publisher Wiley Periodicals LLC
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- Name
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Journal of Forensic Sciences
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Volume 66, Issue 5, September 2021
- Page
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1679-1696
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Article for submission to the Journal of Forensic Sciences
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- Completed
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Resource provider Minerals, Energy and Groundwater Division
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EARTH SCIENCES
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- Keywords
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Soil forensics
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soil properties
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compositional data analysis - CODA
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geochemical mapping
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interpolation
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Geographic Information System - GIS
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uncertainty
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© 2021 Commonwealth of Australia
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Article for submission to the Journal of Forensic Sciences
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Australian Government Security Classification System
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- 2018-11-01T00:00:00
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Journal Articles and Conference Papers
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AU/NZS ISO 19115-1:2014
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ISO 19115-1:2014
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ISO 19115-3
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
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Version 2.0, September 2018
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