This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems.
Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data.
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems.
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society.
This book is intended to provide a detailed perspective on techniques and challenges in detecting urban materials using hyperspectral data including a systematic perspective on the spectral properties of the materials and methods.
This book is intended to provide a detailed perspective on techniques and challenges in detecting urban materials using hyperspectral data including a systematic perspective on the spectral properties of the materials and methods.
This book presents the mechanism of in-situ radon volatilization and outlines the geological requisites to site a radon monitoring well for earthquake warning.
This book presents the mechanism of in-situ radon volatilization and outlines the geological requisites to site a radon monitoring well for earthquake warning.
This is the first of three Books that together provide an integrated picture of the Aegean Sea, presenting the natural components of the system (Book I and Book II) as well as the human presence in the extended area (Book III).
Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the latest edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data.
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available.
Advanced mathematics used in engineering is studied here in this text which examines the relationship between the principles in natural processes and those employed in engineered processes.
This book presents general problems in geoarchaeology, and discusses geophysical solutions, X-ray fluorescence spectrometry applications, X-ray and isotope analyses and GIS technologies.
The burgeoning field of data science has provided a wealth of techniques for analysing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics.
The burgeoning field of data science has provided a wealth of techniques for analysing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics.
This book provides a new data augmentation method based on the local stochastic distribution patterns in natural time series data of global and regional seismicity rates and their correlated seismicity rates.
The volume of Springer Proceedings in Geoarchaeology and Archaeological Mineralogy contains selected papers presented at the 9th Geoarchaeology Conference, which took place during September 19-22, 2022, at the South Urals Federal Research Center, the Ural Branch of the Russian Academy of Sciences, Miass, Russia.
This book provides the first comprehensive compilation of cutting-edge research on Merapi volcano on the island of Java, Indonesia, one of the most iconic volcanoes in the world.
This book presents 41 selected articles written by leading researchers from the Vernadsky Institute of Geochemistry and Analytical Chemistry, part of the Russian Academy of Sciences.
After the discovery that elements were commonly composed of isotopes, there developed a range of studies of the variability of isotopic compositions in Earth materials, which was able to add to our understanding of Earth processes and history.
This edited book is devoted to environmental risk management in gas industry impacted polar ecosystems of Russia, one of the hottest topics of modern environmental science.
This book is both a review and a look to the future, highlighting challenges for better predicting quantitatively the impact of diagenesis on reservoir rocks.