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    A statistical commentary on mineral prospectivity analysis

    Access Status
    Fulltext not available
    Authors
    Baddeley, Adrian
    Date
    2018
    Type
    Book Chapter
    
    Metadata
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    Citation
    Baddeley, A. 2018. A statistical commentary on mineral prospectivity analysis. In Handbook of Mathematical Geosciences: Fifty Years of IAMG, 25-65.
    Source Title
    Handbook of Mathematical Geosciences: Fifty Years of IAMG
    DOI
    10.1007/978-3-319-78999-6_2
    ISBN
    9783319789996
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/72523
    Collection
    • Curtin Research Publications
    Abstract

    © Springer International Publishing AG. All rights reserved. We compare and contrast several statistical methods for predicting the occurrence of mineral deposits on a regional scale. Methods include logistic regression, Poisson point process modelling, maximum entropy, monotone regression, nonparametric curve estimation, recursive partitioning, and ROC (Receiver Operating Characteristic) curves. We discuss the use and interpretation of these methods, the relationships between them, their strengths and weaknesses from a statistical standpoint, and fallacies about them. Potential improvements and extensions include models with a flexible functional form; techniques which take account of sampling effort, deposit endowment and spatial association between deposits; conditional simulation and prediction; and diagnostics for validating the analysis.

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