# Geochemistry and Geologic Mapping

{
  "id": "T12157",
  "title": "Geochemistry and Geologic Mapping",
  "url": "/topics/T12157",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "581af80a2c2cf7a7",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36183588861545563",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    17,
    1702,
    12157
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the application of machine learning, remote sensing, and compositional data analysis techniques for mineral prospectivity mapping. It explores the use of advanced technologies such as ASTER and hyperspectral imaging to identify geological features, geochemical anomalies, and hydrothermal alterations associated with mineralization. The cluster also delves into the challenges and opportunities in using support vector machines, fractal modeling, and statistical analysis for predicting undiscovered mineral deposits.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12157

No owner-reviewed local answer yet.