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English
Elsevier - Health Sciences Division
03 June 2024
Fractals and Multifractals in the Geosciences details the application of fractal methods, including many novel ones developed by the author, along with an assessment of uncertainty in sample classification and stability of spatial patterns. The book also provides criteria for selection of the most effective combination of data pre-processing and fractal modelling to extract desired features or signals in the data. It specifically aims to introduce, apply, and test novel fractal models that account directly for changes in relationships between variables, as well as the effects of distance between samples and the source of anomalous metal contents in geoscience samples.

Linked to this is an assessment of the effects of different pre-processing of data prior to application of the models and quantification/model uncertainty in geochemical anomaly maps associated with sample classification and spatial interpolation. Gaussian simulations such as Sequential Gaussian Simulation and Monte Carlo Simulation are applied to the new fractal models developed, and a suite of existing models, including (simulated) concentration-area, spectrum-area, singularity and others are provided. This book will be invaluable for mathematical geoscientists, geostaticians, exploration geochemists, computational geoscientists, data analysts, and GIS professionals who need to better understand fractal geometry, along with its theory and applications in geochemical anomaly classification to generate maps that are helpful for decision-making for follow-up sampling and explorations.
By:  
Imprint:   Elsevier - Health Sciences Division
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 151mm, 
ISBN:   9780323908979
ISBN 10:   0323908977
Pages:   250
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
1. The theory of fractal geometry 2. Introduction: characterising and mapping anomalies 3. Geochemical datasets 4. Novel multifractal classification models 5. Effectiveness and uncertainty in geochemical anomaly classification models 6. Spatial uncertainty in categorising geological data 7. General discussion and conclusions

"Behnam Sadeghi has a PhD in Geosciences-Exploration Geochemistry from UNSW, Australia and MSc and BSc degrees in mining engineering-mineral exploration. His fields of research are Mathematical Geosciences, Geostatistics, GIS & Mapping, Data analysis/management and version control, Applied Geochemistry, Remote Sensing and Geothermal Energy. Behnam is the first recipient of the ""Founders Scholarship"" award of the International Association for Mathematical Geosciences (IAMG), 2020, and was in the top 4 in the ""Esri Young Scholars Award"" national competition in Australia (2019).He is now part of the EarthByte Group and Basin GENESIS Hub (BGH) Atlas Team at the University of Sydney, collaborating with the pyGPlates development and the BGH atlas. He has published a book on the application of fractal modelling in mineral exploration and mining (in Persian), in addition to over 18 peer-reviewed journal publications in prestigious journals, including special issues, review, hot and most-cited papers, in and other papers in international and national conferences and journals. Behnam is the Associate Editor of “Ore Geology Reviews”, is on the Reviewer Board of “Minerals”, and is on the Editorial Board of “Earth Science Informatics”, and “Applied Computing and Geosciences”. The last two have recently been approved and are in progress to be announced online by the publisher. He is the reviewer of several prestigious journals such as Journal of Geochemical Exploration, Advances in Space Research, Applied Geochemistry, Minerals, PLoS ONE, Computational Geosciences, Arabian Journal of Geosciences, Journal of African Earth Sciences, GEEA, Earth Science Informatics, Nonlinear Processes in Geophysics, PERIODICO di MINERALOGIA, Environment, Development and Sustainability, etc."

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