Geochemical surveys are a cornerstone for data generation in geosciences, facilitating
resource exploration. Geochemical data is essential for identifying mineralized areas …

Regional geochemical surveys generate large amounts of data that can be used for a
number of purposes such as to guide mineral exploration. Modern surveys are typically …

Remote sensing data is a cheap form of surficial geoscientific data, and in terms of veracity,
velocity and volume, can sometimes be considered big data. Its spatial and spectral …

The primary goal of mineral prospectivity map** (MPM) is to narrow the search for mineral
resources by producing spatially selective maps. However, in the data-driven domain, MPM …

Most known mineral deposits were discovered by accident using expensive, time-
consuming, and knowledge-based methods such as stream sediment geochemical data …

Recently, machine learning methods have been utilized to mine correlations between
geological variables and mineral deposits because of their significance in mineral …

Abstract Machine-aided geological interpretation provides an opportunity for rapid and data-
driven decision-making. In disciplines such as geostatistics, the integration of machine …

Evolution in geoscientific data provides the mineral industry with new opportunities. A
direction of geochemical data generation evolution is towards big data to meet the demands …

In exploration geochemistry, advances in the detection limit, breadth of elements analyze-
able, accuracy and precision of analytical instruments have motivated the re-analysis of …

Geochemical surveys contain an implicit data lifecycle or pipeline that consists of data
generation (eg, sampling and analysis), data management (eg, quality assurance and …