Popular raster-based methods of prospectivity modeling and their relationships

DOI10.1007/s11004-019-09808-6zbMath1428.86028OpenAlexW2946556805WikidataQ127862257 ScholiaQ127862257MaRDI QIDQ2284100

Helmut Schaeben, S. Kost, Gunter Semmler

Publication date: 14 January 2020

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-019-09808-6

zbMATH Keywords

logistic regressiondecision treesartificial neural networkROC curverandom forestconvolutional neural networksprobabilistic neural networkscompositional regressionPR curve

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) General nonlinear regression (62J02) Geostatistics (86A32)

Related Items

Stochastic modelling of mineral exploration targets, Towards geostatistical learning for the geosciences: a case study in improving the spatial awareness of spectral clustering, Logistic Regression for Prospectivity Modeling

Uses Software

• aplore3
• PRMLT
• BadNets

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