Salinization and alkalinization are the most common land degradation processes,
particularly occurring in arid and semi-arid regions, where precipitation is too low to maintain …

A data-driven application of the theory of evidential belief to map mineral potential is
demonstrated with a redefinition of procedures to estimate evidential belief functions. The …

Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains,
in three parts, geochemical anomaly and mineral prospectivity mapping by using a …

In this contribution, we describe an application of support vector machine (SVM), a
supervised learning algorithm, to mineral prospectivity mapping. The free R package e1071 …

The main objective of this study is to evaluate and compare the results of evidential belief
functions and fuzzy logic models for spatial prediction of landslide hazards in the Hoa Binh …

The objective of this paper is to exploit the potential application of an evidential belief
function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding …

A multilayer feed‐forward neural network, trained with a gradient descent, back‐propagation
algorithm, is used to estimate the favourability for gold deposits using a raster GIS database …

This paper outlines the process taken to create two separate gold prospectivity maps. The
first was created using a combination of several knowledge-driven (KD) techniques. The …

A case application of data-driven estimation of evidential belief functions (EBFs) is
demonstrated to prospectivity mapping in Lundazi district (eastern Zambia). Spatial data …

Abstract A Geographic Information System (GIS) is used to prepare and process digital
geoscience data in a variety of ways for producing gold prospectivity maps of the Swayze …