Figure 5 - Centered south–north (S–N) TMI profiles and corresponding 2D deposit windows for the twelve deposits of Case 1. The profiles summarize the 1D anomaly signatures, while the 2D windows show the full spatial patterns used in the sPCA analysis. Case 2 focuses on Alemão as a representative multivariate example. In the Igarapé Bahia camp, IOCG mineralization is strongly associated with magnetite-rich hydrothermal bodies, making the TMI dipole an important expression of the iron-oxide footprint of the system. Alemão has also been described as a Cu-Au-(U-REE) IOCG deposit containing minor uraninite, so elevated radiometric U provides a geologically meaningful complementary signal in this area (Dep. 3; Figure 6). Accordingly, the combined presence of a magnetic dipole and high radiometric U is treated here as a district-specific IOCG exploration signature, which motivates the multivariate TMI + U analysis developed in Case 2. Methodology The methodology compares the geophysical signature of a known deposit with regional geophysical data to identify and rank spatially coherent anomaly signatures by similarity. The aim is to detect regions whose internal spatial patterns resemble those expressed by the deposit signature. This is done through a distance-based comparison in a learned feature space, together Figure 6 - TMI and radiometric U centered south–north (S–N) profiles and corresponding 2D deposit windows for Deposits 1–5 of Case 2. The figure highlights the complementary anomaly patterns used in the multivariate sPCA analysis.
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