Handbook of Mathematical Geosciences

1. Forward.- 2. Preface.- 3. Introduction.- 4. Part I. Chapter 1 Kriging, Splines, Conditional Simulation, Bayesian In-version and Ensemble Kalman Filtering.- 5. Chapter 2 A Statistical Commentary on Mineral Prospectivity analysis.- 6. Chapter 3 Testing joint conditional independence of categorical random variables with a standard log-likelihood ratio test.- 7. Chapter 4 Modelling Compositional Data. The Sample Space Approach.- 8. Chapter 5 Properties of Sums of Geological Random Variables.- 9. Chapter 6 A Statistical Analysis of the Jacobian in Retrievals of Satellite Data.- 10. Chapter 7 All Realizations All the Time.- 11. Chapter 8 Binary Coefficients Redux.- 12. Chapter 9 Tracking Plurigaussian Simulations.- 13. Chapter 10 Mathematical Geosciences: Local Singularity Analysis of Nonlinear Earth Processes and Extreme Geo-Events.- 14. Chapter 11 Electrofacies in Reservoir Characterization.- 15. Chapter 12 Forecast of Shoreline Variations by Means of Median Sets.- 16. Chapter 13 An Introduction to the Spatio-Temporal Analysis of Sat-ellite Remote Sensing Data for Geostatisticians.- 17. Chapter 14 Flint drinking water crisis: a first attempt to model geo-statistically the space-time distribution of water lead levels.- 18. Chapter 15 Statistical Parametric Mapping for Geoscience Applications.- 19. Chapter 16 Water chemistry: are new challenges possible from CoDA (Compositional Data Analysis) point of view?.- 20. Chapter 17 Analysis of the United States Portion of the North American Soil Geochemical Landscapes Project - A Compositional Framework Approach.- 21.  Chapter 18 Quantifying the Impacts of Uncertainty.- 22. Chapter 19. Advances in Sensitivity Analysis of Uncertainty due to Sampling Density for Spatially Correlated Attributes.- 23. Chapter 20 Predicting Molybdenum Deposit Growth.- 24. Chapter 21 General Framework of Quantitative Target Selections.- 25. Chapter 22 Solving the Wrong Resource Assessment

B.S. Daya Sagar is a full Professor at the Systems Science and Informatics Unit (SSIU) at the Indian Statistical Institute in Bangalore, India. Dr. Sagar received his MSc and Ph.D. degrees in geoengineering and remote sensing from the Faculty of Engineering, Andhra University, Visakhapatnam, India, in 1991 and 1994 respectively. He is also first Head of the SSIU. Earlier, he worked at the College of Engineering, Andhra University, and Centre for Remote Imaging Sensing and Processing (CRISP), at the The National University of Singapore in various positions during 1992-2001. He served as Associate Professor and Researcher at the Faculty of Engineering & Technology (FET), Multimedia University, Malaysia, during 2001-2007. Since 2017, he has been a Visiting Professor at the University of Trento, Italy. His research interests include mathematical morphology, GISci, digital image processing, fractals and multifractals, their applications in extraction, analyses, and modelling of geophysical patterns. He has published over 85 papers in scientific journals, and has authored and/or guest edited 11 books and/or special theme issues for journals. He recently authored a book entitled "Mathematical Morphology in Geomorphology and GISci". He recently co-edited two special issues on "Filtering and Segmentation with Mathematical Morphology" for IEEE Journal of Selected Topics in Signal Processing and "Applied Earth Observation and Remote Sensing in India" for IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. He is an elected Fellow of Royal Geographical Society (1999), Indian Geophysical Union (2011), and was a member of the New York Academy of Science during 1995-1996. He received the Dr. Balakrishna Memorial Award from the Andhra Pradesh Academy of Sciences in 1995, the Krishnan Gold Medal from the Indian Geophysical Union in 2002, and the "Georges Matheron Award-2011 (with Lecturership)" of the International Association for Mathematical

"The book is an excellent resource for students, young scientists, practicing geologists, geophysicists, and geoscientists who want to better understand mathematical methods. ... The handbook is a comprehensive reference that should have a place on the bookshelves of graduate students and researchers in the field of geosciences who are interested in using mathematical methods to analyze data." (Yuriy Kostyuchenko, Mohamed Abioui and Andrea Di Cencio, Mathematical Geosciences, Vol. 52, 2020)