# Geochemistry and Geologic Mapping

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/geochemistry-and-geologic-mapping-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,716,442 |
| Description | 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. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12157 |
| Works | 3,957,418 |

## Topic researchers

Showing 12 of 20.

- [Karl Friston](https://scholariq.org/researchers/karl-friston/)
- [Philippe Ciais](https://scholariq.org/researchers/philippe-ciais/)
- [Guangming Zeng](https://scholariq.org/researchers/guangming-zeng/)
- [Alan C. Evans](https://scholariq.org/researchers/alan-c-evans/)
- [Bernhard Schölkopf](https://scholariq.org/researchers/bernhard-scholkopf/)
- [Bradley Efron](https://scholariq.org/researchers/bradley-efron/)
- [James M. Tiedje](https://scholariq.org/researchers/james-m-tiedje/)
- [Yong Sik Ok](https://scholariq.org/researchers/yong-sik-ok/)
- [Marten Scheffer](https://scholariq.org/researchers/marten-scheffer/)
- [Pietro Perona](https://scholariq.org/researchers/pietro-perona/)
- [O. González López](https://scholariq.org/researchers/o-gonzalez-lopez/)
- [Paul J. Crutzen](https://scholariq.org/researchers/paul-j-crutzen/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.