数理地球科学百科事典（全２巻）
Encyclopedia of Mathematical Geoscience
Editors: B. S. Daya Sagar, System & Informatics Unit, Indian Statistical Institute Bangalore Centre, Bangalore, India, Quiming Cheng, Institute of Earth Science, China University of Geoscience, Beijing China, Jennifer McKinley, School of Natural And Built Environment, Queen’s University Belfast, Belfast, United Kingdom, Frits Agterberg, Canada Geological Survey, Ottawa, Canada
2023:07 2 vols 1,705 p. 555 illus. 344 in color ISBN 978-3-030-85039-5
☆期間限定特価10% OFF EUR 539.99（※2024/7/10ご注文分まで有効・弊社在庫限り）
通常価格 EUR 599.99
(Springer) -DE-
概要
数理地球科学とは、数理的なアプローチで地球における諸現象―天候や地震、洪水など―の理論モデルを考案し、シミュレーションを実施し、結果の解析を行う学問です。例えば天気予報では統計的な手法の改善を通して、より正確な予想ができるようになります。また、地震測定学の分野では、各所に遍在する地震計の莫大なデータから本質的な部分を抽出するアルゴリズムを開発することで、新たな地震のメカニズムを発見し、防災や減災に活かすことができます。
本書は数理地球科学の初の体系的なレファレンスです。300名を超える斯界を代表する専門家が寄稿したトピックは350項目に上り、アルファベット順に配列されています。地球科学における人工知能やビッグデータ、地球数学、地球統計学、地理情報科学、数理形態学、数理岩石学、マルチフラクタル、多点統計学、空間データサイエンス、空間統計学、確率過程モデリングなどの重要トピックを網羅します。文献リスト、相互参照指示、索引も充実しています。
大規模データ解析手法の発展著しい数理地球科学において唯一無二の必携資料として、おすすめいたします。
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収録内容
- Accuracy and Precision (P. A. Dowd)
- Additive Logistic Normal Distribution (Gianna Serafina Monti, Glòria Mateu-Figueras and Karel Hron)
- Additive Logistic Skew-Normal Distribution (Glòria Mateu-Figueras and Karel Hron)
- Agterberg, Frits (Qiuming Cheng)
- Aitchison, John (John Bacon-Shone)
- Algebraic Reconstruction Techniques (Utkarsh Gupta and Uma Ranjan)
- Allometric Power Laws (Gabor Korvin)
- Argand Diagram (James Irving and Eric P. Verrecchia)
- Artificial Intelligence in the Earth Sciences (Norman MacLeod)
- Artificial Neural Network (Yuanyuan Tian, Mi Shu and Qingren Jia)
- Autocorrelation (Alejandro C. Frery)
- Automatic and Programmed Gain Control (Gabor Korvin)
- Backprojection Tomography (Utkarsh Gupta and Uma Ranjan)
- Bayes’s Theorem (Konstantinos Modis)
- Bayesian Inversion in Geoscience (Dario Grana, Klaus Mosegaard and Henning Omre)
- Bayesian Maximum Entropy (Junyu He and George Christakos)
- Best Linear Unbiased Estimation (Peter K. Kitanidis)
- Big Data (Xiaogang Ma)
- Binary Mathematical Morphology (Aditya Challa, Sravan Danda and B. S. Daya Sagar)
- Binary Partition Tree (Sravan Danda, Aditya Challa and B. S. Daya Sagar)
- Bonham-Carter, Graeme (Eric Grunsky)
- Bootstrap (Oktay Erten and Clayton V. Deutsch)
- Burrough, Peter Alan (Andrew U. Frank)
- Cartogram (Michael T. Gastner)
- Chaos in Geoscience (Frits Agterberg and Qiuming Cheng)
- Chayes, Felix (Richard J. Howarth)
- Cheng, Qiuming (Frits Agterberg)
- Circular Error Probability (Frits Agterberg)
- Cloud Computing and Cloud Service (Liping Di and Ziheng Sun)
- Cluster Analysis and Classification (Antonella Buccianti and Caterina Gozzi)
- Compositional Data (Vera Pawlowsky-Glahn and Juan José Egozcue)
- Computational Geoscience (Eric Grunsky)
- Computer-Aided or Computer-Assisted Instruction (Madhurima Panja and Uttam Kumar)
- Concentration-Area Plot (Behnam Sadeghi)
- Constrained Optimization (Deeksha Aggarwal and Uttam Kumar)
- Convex Analysis (Indu Solomon and Uttam Kumar)
- Copula in Earth Sciences (Sandra De Iaco and Donato Posa)
- Correlation and Scaling (Frits Agterberg)
- Correlation Coefficient (Guocheng Pan)
- Coupled Modeling (Mohammad Ali Aghighi and Hamid Roshan)
- Cracknell, Arthur Phillip (Kasturi Devi Kanniah)
- Cressie, Noel A.C. (Jay M. Ver Hoef)
- Crystallographic Preferred Orientation (Helmut Schaeben)
- Cumulative Probability Plot (Sravan Danda, Aditya Challa and B. S. Daya Sagar)
- Dangermond, Jack (Lowell Kent Smith)
- Data Acquisition (Rajendra Mohan Panda and B. S. Daya Sagar)
- Data Dictionary (Madhurima Panja, Tanujit Chakraborty and Uttam Kumar)
- Data Life Cycle (Fang Huang)
- Data Mining (Tao Wen)
- Data Visualization (Jaya Sreevalsan-Nair)
- Database Management System (Rajendra Mohan Panda and B. S. Daya Sagar)
- David, Michel (Denis Marcotte)
- Davis, John Clements (Ricardo A. Olea)
- De Wijs Model (Shuyun Xie)
- Decision Tree (Rajendra Mohan Panda and B. S. Daya Sagar)
- Deep CNN-Based AI for Geosciences (Mehala Balamurali)
- Deep Learning in Geoscience (Fuchang Gao)
- Dendrogram (Rogério G. Negri)
- Differential Equations (Sergio Zlotnik and Jaume Soler Villanueva)
- Digital Elevation Model (Pradeep Srivastava and Sanjay Singh)
- Digital Filters (Gabor Korvin)
- Digital Geological Mapping (Chengbin Wang and Xiaogang Ma)
- Digital Twins of the Earth (Stefano Nativi and Max Craglia)
- Dimensionless Measures (Ekta Baranwal)
- Discrete Prolate Spheroidal Sequence (Dionissios T. Hristopulos)
- Discriminant Analysis (D. Arun Kumar)
- Discriminant Function Analysis (Norman MacLeod)
- Doveton, John Holroyd (John C. Davis)
- Earth Surface Processes (Vikrant Jain, Ramendra Sahoo and R. N. Singh)
- Earth System Science (Gang Liu and Hongfei Zhang)
- Earthquake Complexity (William I. Newman)
- Eigenvalues and Eigenvectors (Jaya Sreevalsan-Nair)
- Electrofacies (John H. Doveton)
- Ensemble Kalman Filtering (J. Jaime Gómez-Hernández)
- Entropy (Julian M. Ortiz and Jorge F. Silva)
- Euler Poles of Tectonic Plates (Helmut Schaeben, Uwe Kroner and Tobias Stephan)
- Expectation-Maximization Algorithm (Jaya Sreevalsan-Nair)
- Exploration Geochemistry (David R. Cohen)
- Exploratory Data Analysis (Emmanuel John M. Carranza)
- FAIR Data Principles (Abdullah Alowairdhi and Xiaogang Ma)
- Fast Fourier Transform (Frits Agterberg)
- Fast Wavelet Transform (Indu Solomon and Uttam Kumar)
- Favorability Analysis (Guocheng Pan)
- Fisher, Ronald A. (Frits Agterberg)
- Flow in Porous Media (Daniele Pedretti)
- Forward and Inverse Stratigraphic Models (Cedric M. Griffiths)
- Fractal Geometry and the Downscaling of Sun-Induced Chlorophyll Fluorescence Imagery (Juan Quiros-Vargas, Bastian Siegmann, Alexander Damm, Ran Wang, John Gamon, Vera Krieger, B. S. Daya Sagar, Onno Muller and Uwe Rascher)
- Fractal Geometry in Geosciences (Qiuming Cheng and Frits Agterberg)
- Fractal Landscape (Ramendra Sahoo)
- Frequency Distribution (Ricardo A. Olea)
- Frequency-Wavenumber Analysis (Frits Agterberg)
- Full Normal Plot (Gianna Serafina Monti and Glòria Mateu-Figueras)
- Fuzzy C-Means Clustering (Jaya Sreevalsan-Nair)
- Fuzzy Inference Systems for Mineral Exploration (Bijal Chudasama, Sanchari Thakur and Alok Porwal)
- Fuzzy Set Theory in Geosciences (Behnam Sadeghi, Alok Porwal, Amin Beiranvand Pour and Majid Rahimzadegan)
- Genetic Algorithms (D. Arun Kumar)
- Geocomputing (Alice-Agnes Gabriel, Marcus Mohr and Bernhard S. A. Schuberth)
- Geographical Information Science (Parvatham Venkatachalam)
- Geographically Weighted Regression (Xiang Que and Shaoqiang Su)
- Geohydrology (Faramarz Doulati Ardejani, Behshad Jodeiri Shokri, Soroush Maghsoudy, Majid Shahhosseiny, Fojan Shafaei, Farzin Amirkhani Shiraz and Andisheh Alimoradi)
- Geoinformatics (Jeffrey M. Yarus, Jordan M. Yarus and Roger H. French)
- Geologic Time Scale Estimation (Felix M. Gradstein and Frits Agterberg)
- Geomathematics (Frits Agterberg)
- Geomatics (Rifaat Abdalla)
- Geomechanics (Pejman Tahmasebi)
- Geoscience Signal Extraction (Frits Agterberg)
- Geosciences Digital Ecosystems (Stefano Nativi and Paolo Mazzetti)
- Geostatistical Seismic Inversion (Leonardo Azevedo and Amílcar Soares)
- Geostatistics (H. S. Pandalai and A. Subramanyam)
- GeoSyntax (Cedric M. Griffiths)
- Geotechnics (Pejman Tahmasebi)
- Geothermal Energy (Katsuaki Koike and Shohei Albert Tomita)
- Global and Regional Climatic Modeling (Yuriy Kostyuchenko, Igor Artemenko, Mohamed Abioui and Mohammed Benssaou)
- Goodchild, Michael F. (B. S. Daya Sagar)
- Gradstein, Felix (Frits Agterberg)
- Grain Size Analysis (Michael Klichowicz and Holger Lieberwirth)
- Graph Mathematical Morphology (Rahisha Thottolil and Uttam Kumar)
- Grayscale Mathematical Morphology (Sravan Danda, Aditya Challa and B. S. Daya Sagar)
- Griffiths, John Cedric (Donald A. Singer)
- Harbaugh, John W. (Johannes Wendebourg)
- Harff, Jan (Martin Meschede)
- High-Order Spatial Stochastic Models (Roussos Dimitrakopoulos and Lingqing Yao)
- Hilbert Space (Daisy Arroyo)
- Horton, Robert Elmer (Keith Beven)
- Howarth, Richard J. (J. M. McArthur)
- Hurst Exponent (Sid-Ali Ouadfeul and Leila Aliouane)
- Hyperspectral Remote Sensing (Daniele Marinelli, Francesca Bovolo and Lorenzo Bruzzone)
- Hypothesis Testing (Rogério G. Negri)
- Hypsometry (Sebastiano Trevisani and Lorenzo Marchi)
- Imputation (Javier Palarea-Albaladejo)
- Independent Component Analysis (Jaya Sreevalsan-Nair)
- Induction, Deduction, and Abduction (Frits Agterberg)
- International Generic Sample Number (Sarah Ramdeen, Kerstin Lehnert, Jens Klump and Lesley Wyborn)
- Interpolation (Jaya Sreevalsan-Nair)
- Interquartile Range (Alejandro C. Frery)
- Inverse Distance Weight (Narayan Panigrahi)
- Inversion Theory (R. N. Singh and Ajay Manglik)
- Inversion Theory in Geoscience (Shib Sankar Ganguli and V. P. Dimri)
- Iterative Weighted Least Squares (Sara Taskinen and Klaus Nordhausen)
- Journel, André (R. Mohan Srivastava)
- K-Means Clustering (Jaya Sreevalsan-Nair)
- K-Medoids (Jaya Sreevalsan-Nair)
- K-nearest Neighbors (Jaya Sreevalsan-Nair)
- Kolmogorov, Andrey N. (Frits Agterberg)
- Korvin, Gabor (B. S. Daya Sagar)
- Krige, Daniel Gerhardus (Richard Minnitt)
- Kriging (Xavier Freulon and Nicolas Desassis)
- Krumbein, William Christian (E. H. Timothy Whitten)
- Laplace Transform (Jaya Sreevalsan-Nair)
- Least Absolute Deviation (A. Erhan Tercan)
- Least Absolute Value (U. Radojičić and Klaus Nordhausen)
- Least Mean Squares (Mark A. Engle)
- Least Median of Squares (Sara Taskinen and Klaus Nordhausen)
- Least Squares (Mark A. Engle)
- LiDAR (Jaya Sreevalsan-Nair)
- Linear Unmixing (Katherine L. Silversides)
- Linearity (Christien Thiart)
- Local Singularity Analysis (Wenlei Wang, Shuyun Xie and Zhijun Chen)
- Locally Weighted Scatterplot Smoother (Klaus Nordhausen and Sara Taskinen)
- Logistic Attractors (Balakrishnan Ashok)
- Logistic Regression (D. Arun Kumar)
- Logistic Regression, Weights of Evidence, and the Modeling Assumption of Conditional Independence (Helmut Schaeben)
- Log-Likelihood Ratio Test (Alejandro C. Frery)
- Lognormal Distribution (Glòria Mateu-Figueras and Ricardo A. Olea)
- Lorenz, Edward Norton (Kerry Emanuel)
- Loss Function (Tanujit Chakraborty and Uttam Kumar)
- Machine Learning (Feifei Pan)
- Mandelbrot, Benoit B. (Katepalli R. Sreenivasan)
- Markov Chain Monte Carlo (Swathi Padmanabhan and Uma Ranjan)
- Markov Chains: Addition (Adway Mitra)
- Markov Random Fields (Uma Ranjan)
- Marsily, Ghislain de (Craig T. Simmons)
- Mathematical Geosciences (Qiuming Cheng)
- Mathematical Minerals (John H. Doveton)
- Mathematical Morphology (Jean Serra)
- Matheron, Georges (Jean Serra)
- Matrix Algebra (Deeksha Aggarwal and Uttam Kumar)
- Maximum Entropy Method (Dionissios T. Hristopulos and Emmanouil A. Varouchakis)
- Maximum Entropy Spectral Analysis (Eulogio Pardo-Igúzquiza and Francisco J. Rodríguez-Tovar)
- Maximum Likelihood (Jaya Sreevalsan-Nair)
- McCammon, Richard B. (Michael E. Hohn)
- Membership Functions (Candan Gokceoglu)
- Merriam, Daniel F. (D. Collins)
- Metadata (Simon J. D. Cox)
- Mine Planning (N. Caciagli)
- Mineral Prospectivity Analysis (Emmanuel John M. Carranza)
- Minimum Entropy Deconvolution (Jaya Sreevalsan-Nair)
- Minimum Maximum Autocorrelation Factors (U. Mueller)
- Mining Modeling (Youhei Kawamura)
- Modal Analysis (Frits Agterberg)
- Moments (Jessica Silva Lomba and Maria Isabel Fraga Alves)
- Monte Carlo Method (Klaus Mosegaard)
- Moran’s Index (Giuseppina Giungato and Sabrina Maggio
- Morphological Closing (Aditya Challa, Sravan Danda and B. S. Daya Sagar)
- Morphological Dilation (Sravan Danda, Aditya Challa and B. S. Daya Sagar)
- Morphological Erosion (Aditya Challa, Sravan Danda and B. S. Daya Sagar)
- Morphological Filtering (Jean Serra)
- Morphological Opening (Sravan Danda, Aditya Challa and B. S. Daya Sagar)
- Morphological Pruning (Sin Liang Lim and B. S. Daya Sagar)
- Morphometry (Sebastiano Trevisani and Igor V. Florinsky)
- Moving Average (Frits Agterberg)
- Multidimensional Scaling (Francky Fouedjio)
- Multifractals (Renguang Zuo)
- Multilayer Perceptrons (C. Özgen Karacan)
- Multiphase Flow (Juliana Y. Leung)
- Multiple Correlation Coefficient (U. Mueller)
- Multiple Point Statistics (Jef Caers, Gregoire Mariethoz and Julian M. Ortiz)
- Multiscaling (Jaya Sreevalsan-Nair)
- Multivariate Analysis (Monica Palma and Sabrina Maggio)
- Multivariate Data Analysis in Geosciences, Tools (John H. Schuenemeyer)
- Němec, Václav (Jan Harff and Niichi Nichiwaki)
- Neural Networks (Vladik Kreinovich)
- Nonlinear Mapping Algorithm (Jie Zhao, Wenlei Wang, Qiuming Cheng and Yunqing Shao)
- Nonlinearity (Wenlei Wang, Jie Zhao and Qiuming Cheng)
- Normal Distribution (Jaya Sreevalsan-Nair)
- Object Boundary Analysis (Hannes Thiergärtner)
- Object-Based Image Analysis (D. Arun Kumar, M. Venkatanarayana and V. S. S. Murthy)
- Olea, Ricardo A. (C. Ӧzgen Karacan)
- Ontology (Torsten Hahmann)
- Open Data (Lucia R. Profeta)
- Optimization in Geosciences (Ilyas Ahmad Huqqani and Lea Tien Tay)
- Ordinary Differential Equations (R. N. Singh and Ajay Manglik)
- Ordinary Least Squares (Christopher Kotsakis)
- Partial Differential Equations (R. N. Singh and Ajay Manglik)
- Particle Swarm Optimization in Geosciences (Joseph Awange, Béla Paláncz and Lajos Völgyesi)
- Pattern (Uttam Kumar)
- Pattern Analysis (Sanchari Thakur, LakshmiKanthan Muralikrishnan, Bijal Chudasama and Alok Porwal)
- Pattern Classification (Katherine L. Silversides)
- Pattern Recognition (Rogério G. Negri)
- Pawlowsky-Glahn, Vera (Ricardo A. Olea)
- Pengda, Zhao (Qiuming Cheng and Frits Agterberg)
- Plurigaussian Simulations (Nasser Madani)
- Point Pattern Statistics (Dietrich Stoyan)
- Polarimetric SAR Data Adaptive Filtering (Mohamed Yahia, Tarig Ali, Md Maruf Mortula and Riadh Abdelfattah)
- Pore Structure (Weiren Lin and Nana Kamiya)
- Porosity (Pham Huy Giao and Pham Huy Nguyen)
- Porous Medium (Jennifer McKinley)
- Power Spectral Density (Abhey Ram Bansal and V. P. Dimri)
- Predictive Geologic Mapping and Mineral Exploration (Frits Agterberg)
- Principal Component Analysis (Alessandra Menafoglio)
- Probability Density Function (Abraão D. C. Nascimento)
- Proximity Regression (Jaya Sreevalsan-Nair)
- Q-Mode Factor Analysis (Norman MacLeod)
- Quality Assurance (N. Caciagli)
- Quality Control (N. Caciagli)
- Quantitative Geomorphology (Vikrant Jain, Shantamoy Guha and B. S. Daya Sagar)
- Quantitative Stratigraphy (Felix Gradstein and Frits Agterberg)
- Quantitative Target Selection (Brandon Wilson, Emmanuel John M. Carranza and Jeff B. Boisvert)
- Quaternions and Rotations (Helmut Schaeben)
- Radial Basis Functions (Michael Hillier)
- Random Forest (Emil D. Attanasi and Timothy C. Coburn)
- Random Function (J. Jaime Gómez-Hernández)
- Random Variable (Ricardo A. Olea)
- Rank Score Test (Alejandro C. Frery)
- Rao, C. R. (B. L. S. Prakasa Rao)
- Rao, S. V. L. N. (B. S. Daya Sagar)
- Realizations (C. Özgen Karacan)
- Reduced Major Axis Regression (Muhammad Bilal, Md. Arfan Ali, Janet E. Nichol, Zhongfeng Qiu, Alaa Mhawish and Khaled Mohamed Khedher)
- Regression (D. Arun Kumar, G. Hemalatha and M. Venkatanarayana)
- Remote Sensing (Ranganath Navalgund and Raghavendra P. Singh)
- Reproducible Workflow (Anirudh Prabhu and Peter Fox)
- Rescaled Range Analysis (Gabor Korvin)
- Reyment, Richard A. (Peter Bengtson)
- R-Mode Factor Analysis (Norman MacLeod)
- Robust Statistics (Peter Filzmoser)
- Rock Fracture Pattern and Modeling (Katsuaki Koike and Jin Wu)
- Rodionov, Dmitriy Alekseevich (Hannes Thiergärtner)
- Rodriguez-Iturbe, Ignacio (B. S. Daya Sagar)
- Root Mean Square (Tianfeng Chai)
- Sampling Importance: Resampling Algorithms (Anindita Dasgupta and Uttam Kumar)
- Scaling and Scale Invariance (S. Lovejoy)
- Scattergram (Richard J. Howarth)
- Schuenemeyer, John H. (Donald Gautier)
- Schwarzacher, Walther (Jennifer McKinley)
- Sedimentation and Diagenesis (Nana Kamiya and Weiren Lin)
- Self-Organizing Maps (Sid-Ali Ouadfeul, Leila Aliouane and Mohamed Zinelabidine Doghmane)
- Sensitivity Analysis (Valentina Ciriello and Daniel M. Tartakovsky)
- Sequence Classification (Mehala Balamurali)
- Sequential Gaussian Simulation (J. Jaime Gómez-Hernández)
- Serra, Jean (Philippe Salembier)
- Shape (Norman MacLeod)
- Signal Analysis (Mohamed Zinelabidine Doghmane, Sid-Ali Ouadfeul and Leila Aliouane)
- Signal Processing in Geosciences (E. Chandrasekhar and Rizwan Ahmed Ansari)
- Simulated Annealing (Jaya Sreevalsan-Nair)
- Simulation (Behnam Sadeghi and Julian M. Ortiz)
- Singular Spectrum Analysis (U. Radojičić, Klaus Nordhausen and Sara Taskinen)
- Singularity Analysis (Behnam Sadeghi and Frits Agterberg)
- Smoothing Filter (Alejandro C. Frery)
- Spatial Analysis (Qiyu Chen, Gang Liu, Xiaogang Ma and Xiang Que)
- Spatial Autocorrelation (Donato Posa and Sandra De Iaco)
- Spatial Data (Sabrina Maggio and Claudia Cappello)
- Spatial Data Infrastructure and Generalization (Jagadish Boodala, Onkar Dikshit and Nagarajan Balasubramanian)
- Spatial Statistics (Noel Cressie and Matthew T. Moores)
- Spatiotemporal (Sandra De Iaco, Donald E. Myers and Donato Posa)
- Spatiotemporal Analysis (Shrutilipi Bhattacharjee, Johannes Madl, Jia Chen and Varad Kshirsagar)
- Spatiotemporal Modeling (Shrutilipi Bhattacharjee, Johannes Madl, Jia Chen and Varad Kshirsagar)
- Spatiotemporal Weighted Regression (Xiang Que, Xiaogang Ma, Chao Ma, Fan Liu and Qiyu Chen)
- Spectral Analysis (Katherine L. Silversides)
- Spectrum-Area Method (Behnam Sadeghi)
- Splines (Bengt Fornberg)
- Standard Deviation (Alejandro C. Frery)
- Stationarity (Francky Fouedjio)
- Statistical Bias (Gilles Bourgault)
- Statistical Computing (Alan D. Chave)
- Statistical Inferential Testing (R. Webster)
- Statistical Outliers (Mehala Balamurali and Raymond Leung)
- Statistical Quality Control (Jörg Benndorf)
- Statistical Rock Physics (Gabor Korvin)
- Statistical Seismology (Jiancang Zhuang)
- Stereographic Projections (Frits Agterberg)
- Stereology (Leszek Wojnar)
- Stochastic Geometry in the Geosciences (Dietrich Stoyan)
- Stoyan, Dietrich (Jan Harff)
- Stratigraphic Sequence (Katherine L. Silversides)
- Structuring Element (B. S. Daya Sagar and D. Arun Kumar)
- Sums of Geologic Random Variables, Properties (G. M. Kaufman)
- Support Vector Machines (Rogério G. Negri)
- t-Distributed Stochastic Neighbor Embedding (Mehala Balamurali)
- Text Mining (Chengbin Wang and Xiaogang Ma)
- Thickening (B. S. Daya Sagar and D. Arun Kumar)
- Thiergärtner, Hannes (Heinz Burger)
- Three-Dimensional Geologic Modeling (Qiyu Chen, Gang Liu, Xiaogang Ma and Junqiang Zhang)
- Time Series Analysis (Abraão D. C. Nascimento)
- Time Series Analysis in the Geosciences (Klaus Nordhausen)
- Tobler, Waldo (Michael Batty)
- Topology in Geosciences (Florian Wellmann)
- Total Alkali-Silica Diagram (Ricardo A. Olea)
- Trend Surface Analysis (Frits Agterberg)
- Tukey, John Wilder (Frits Agterberg)
- Turbulence (Frits Agterberg)
- Turcotte, Donald L. (Lawrence Cathles and John Rundle)
- Unbalanced Analysis of Variance (R. Webster)
- Uncertainty Quantification (Behnam Sadeghi, Eric Grunsky and Vera Pawlowsky-Glahn)
- Unit Regional Production Value (Gunes Ertunc)
- Unit Regional Value (Frits Agterberg)
- Univariate (Alejandro C. Frery)
- Universality (Dionissios T. Hristopulos)
- Upper Approximation (Touhid Mohammad Hossain and Junzo Watada)
- Variance (Claudia Cappello and Monica Palma)
- Variogram (Behnam Sadeghi)
- Very Fast Simulated Reannealing (Dionissios T. Hristopulos)
- Virtual Globe (Jaya Sreevalsan-Nair)
- Vistelius, Andrey Borisovich (Stephen Henley)
- Watson, Geoffrey S. (Noel Cressie and Carol A. Gotway Crawford)
- Wavelets in Geosciences (Guoxiong Chen and Henglei Zhang)
- Wave-Number Filtering (Sid-Ali Ouadfeul and Leila Aliouane)
- Whitten, Eric Harold Timothy (John Cubitt)
- Zadeh, Lotfi A. (Behnam Sadeghi)
- Z-Transform (Sathishkumar Samiappan, Rajendra Mohan Panda and B. S. Daya Sagar)
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