Surficial and Deep Earth Material Prediction from Geochemical Compositions
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Talebi, Hassan; Mueller, U A; Tolosana-Delgado, Raimon; Grunsky, E C; McKinley, Jennifer M.; de Caritat, Patrice
Description
Prediction of true classes of surficial and deep earth materials using multivariate spatial data is a common challenge for geoscience modelers. Most geological processes leave a footprint that can be explored by geochemical data analysis. These footprints are normally complex statistical and spatial patterns buried deep in the high-dimensional compositional space. This paper proposes a spatial predictive model for classification of surficial and deep earth materials derived from the geochemical...[Show more]
Collections | ANU Research Publications |
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Date published: | 2019-07 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/201658 |
Source: | Natural Resources Research |
DOI: | 10.1007/s11053-018-9423-2 |
Access Rights: | Open Access |
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01_Talebi_Surficial_and_Deep_Earth_2019.pdf | 8.66 MB | Adobe PDF |
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