SEMACRET

Application of compositional data analysis to biogeochemical exploration for disclosing the lithology-derived signatures in plants from its physiological artifacts

22st Annual Conference of the International Association for Mathematical Geosciences– Lucija Dujmović, Solveig Pospiech, Raimon Tolosana-Delgado, K. Gerald van den Boogaart, Jörg Matschullat, Maarit Middleton

Compositional mean-centering increases the interpretation space of phytogeochemical datasets

Goldschmidt 2024– Lucija Dujmović, Solveig Pospiech, Jörg Matschullat

Assessing the Efficiency of Phytogeochemical Mineral Exploration

GeoSaxonia 2024– Lucija Dujmović, Solveig Pospiech, Jörg Matschullat

Can compositional analysis of plant biogeochemical data of different plant tissue types reveal signatures of lithology?

EGU25 Call for abstracts

SEMACRET is promoting a session dedicated to advances in ore forming models and innovative methods in mineral exploration in EGU25 with the sponsorship of SGA. Submit your abstract until 15 January, join us at EGU25! Innovative Approaches in Mineral Exploration: From Ore Forming Processes to New Exploration methods Critical raw materials are fundamental to supply…

Robust sparse PCA for spatial data

Austrian Statistical Days 2024– Patricia Puchhammer, Ines Wilms, Peter Filzmoser

Groupwise sparse PCA for spatial data

International Conference of Robust Statistics 2024 (ICORS)– Patricia Puchhammer, Peter Filzmoser

Spatial outlier detection using the spatially smoothed MRCD

22st Annual Conference of the International Association for Mathematical Geosciences– Patricia Puchhammer, Peter Filzmoser

Detecting local outliers using the spatially smoothed MRCD estimator

Olomoucian Days of Applied Mathematics 2023 (ODAM)– Patricia Puchhammer, Peter Filzmoser

A Spatially Smoothed MRCD Estimator for Local Outlier Detection

International Conference of Robust Statistics 2023 (ICORS)– Patricia Puchhammer, Peter Filzmoser