68 Therefore, the same prospective approach by Mineral Systems (System, processes and scales) of Marchena et al (2025) based on McCuaig et al. (2010) has been used. (Figure 2.) Figure 2 - Mineral Systems analysis framework, showing the critical processes (causes), target elements (consequences), and the representation criteria of the target elements (predictor maps or datasets). Where: reddish cream indicates Importance 1; yellow–orange indicates Importance 2; and green indicates Importance 3 (not required to be included at the corresponding working scale). 2. PROSPECTIVITY MAP OF THE METALLOGENIC PROVINCE OF THE ANDAHUAYLASYAURI BATHOLITH 2.1. Datasets And Spatial Proxies Regional-scale modeling was conducted using publicly available datasets, primarily sourced from the GEOCATMIN platform of the Geological Survey of Peru (INGEMMET). Only datasets consistent with the working scale (provincial–regional) were incorporated to avoid conceptual and spatial mismatch. Datasets were selected and translated into spatial proxies according to their relevance within the Mineral Systems framework. The complete dataset inventory and their assigned mineral system processes are summarized in Table 1. Table 1 - Critical Processes of the Mineral System. Where: reddish cream – Importance 1. Yelloworange: Importance 2. Green: Importance 3 (not required to be included in the corresponding working scale). Source: INGEMMET (Unpublished)
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