Multivariate statistical analysis of trace element compositions of native gold from orogenic gold deposits: Implication for mineral exploration

H Liu, G Beaudoin, S Makvandi, SE Jackson… - Ore Geology …, 2021 - Elsevier
The mineralogy and chemical composition of native gold from twenty-seven representative
orogenic gold deposits were investigated using optical microscopy, electron probe …

zCompositions—R package for multivariate imputation of left-censored data under a compositional approach

J Palarea-Albaladejo, JA Martín-Fernández - Chemometrics and Intelligent …, 2015 - Elsevier
Abstract zCompositions is an R package for the imputation of left-censored data under a
compositional approach. It is pertinent when the analyst assumes that the relevant …

State-of-the-art analysis of geochemical data for mineral exploration

EC Grunsky, P Caritat - Geochemistry: Exploration, Environment …, 2020 - lyellcollection.org
Multi-element geochemical surveys of rocks, soils, stream/lake/floodplain sediments and
regolith are typically carried out at continental, regional and local scales. The chemistry of …

An appraisal of data collection, analysis, and reporting adopted for water quality assessment: A case of Nigeria water quality research

U Ewuzie, NO Aku, SU Nwankpa - Heliyon, 2021 - cell.com
The appropriate acquisition and processing of water quality data are crucial for water
resource management. As such, published articles on water quality monitoring and …

Compositional data analysis in geochemistry: are we sure to see what really occurs during natural processes?

A Buccianti, E Grunsky - Journal of Geochemical Exploration, 2014 - Elsevier
Geochemical data are typically reported as compositions, in the form of some proportions
such as weight percents, parts per million, etc., subject to a constant sum (eg 100 …

Impact of past mining activities on water quality in a karst area in the Cévennes region, Southern France

R Bondu, C Casiot, S Pistre, C Batiot-Guilhe - Science of the Total …, 2023 - Elsevier
Sampling and analysis of groundwater and surface water were conducted to assess the
potential impacts of abandoned mines on water quality in a karst area in Southern France …

Compositional multivariate statistical analysis of thermal groundwater provenance: A hydrogeochemical case study from Ireland

S Blake, T Henry, J Murray, R Flood, MR Muller… - Applied …, 2016 - Elsevier
Thermal groundwater is currently being exploited for district-scale heating in many locations
world-wide. The chemical compositions of these thermal waters reflect the provenance and …

Quantifying soil properties relevant to soil organic carbon biogeochemical cycles by infrared spectroscopy: The importance of compositional data analysis

P Zhao, DJ Fallu, BR Pears, C Allonsius… - Soil and Tillage …, 2023 - Elsevier
Oxyhydroxides, soil texture and soil organic carbon (SOC) fractions are key parameters
determining organic carbon cycling in soils. Standard laboratory methods to determine these …

Mineral-resource prediction using advanced data analytics and machine learning of the QUEST-South stream-sediment geochemical data, southwestern British …

EC Grunsky, D Arne - Geochemistry: Exploration, Environment …, 2021 - lyellcollection.org
In this study we apply multivariate statistical and predictive classification methods to interpret
geochemical data from 8545 stream-sediment samples collected in southern British …

Geology and geochemistry-based metallogenic exploration model for the eastern Tethys Himalayan metallogenic belt, Tibet

W Zheng, B Liu, JM McKinley, MR Cooper… - Journal of Geochemical …, 2021 - Elsevier
Abstract The Tethyan Himalaya is the fourth metallogenic belt discovered to date within the
Tibetan Plateau and contains chromite, gold and Sb–polymetallic mineralization. The belt …