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Random Fields for Spatial Data Modeling, Dionisis Hristopulos


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Цена: 16769.00р.
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Автор: Dionisis Hristopulos
Название:  Random Fields for Spatial Data Modeling
ISBN: 9789402419160
Издательство: Springer
Классификация:




ISBN-10: 9402419160
Обложка/Формат: Hardcover
Страницы: 867
Вес: 1.51 кг.
Дата издания: 18.02.2020
Серия: Advances in geographic information science
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 150 tables, color; 134 illustrations, color; 488 illustrations, black and white; xxx, 867 p. 622 illus., 134 illus. in color.
Размер: 234 x 156 x 48
Читательская аудитория: Professional & vocational
Подзаголовок: A primer for scientists and engineers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction.- Preliminary Remarks.- Why Random Fields?.- Notation and Definitions.- Noise and Errors.- Spatial Data and Basic Processing Procedures.- A Personal Selection of Relevant Books.- Trend Models and Estimation.- Empirical Trend Estimation.- Regression Analysis.- Global Trend Models.- Local Trend Models.- Trend Estimation based on Physical Information.- Trend Based on the Laplace Equation.- Basic Notions of Random Fields.- Introduction.- Single-Point Description.- Stationarity and Statistical Homogeneity.- Variogram versus Covariance.- Permissibility of Covariance Functions.- Permissibility of Variogram Functions.- Additional Topics of Random Field Modeling.- Ergodicity.- Statistical Isotropy.- Anisotropy.- Anisotropic Spectral Densities.- Multipoint Description of Random Fields.- Geometric Properties of Random Fields.- Local Properties.- Covariance Hessian Identity and Geometric Anisotropy.- Spectral Moments.- Length Scales of Random Fields.- Fractal Dimension.- Long-Range Dependence.- Intrinsic Random Fields.- Fractional Brownian Motion.- Classification of Random Fields.- Gaussian Random Fields.- Multivariate Normal Distribution.- Field Integral Formulation.- Useful Properties of Gaussian Random Fields.- Perturbation Theory for Non-Gaussian Probability Densities.- Non-stationary Covariance Functions.- Further Reading.- Random Fields based on Local Interactions.- Spartan Spatial Random Fields.- Two-point Functions and Realizations.- Statistical and Geometric Properties.- Bessel-Lommel Covariance Functions.- Lattice Representations of Spartan Random Fields.- Introduction to Gauss-Markov Random Fields.- From Spartan Random Fields to Gauss-Markov Random Fields.- Lattice Spectral Density.- SSRF Lattice Moments.- SSRF Inverse Covariance Operator on Lattices.- Spartan Random Fields and Langevin Equations.- Introduction to Stochastic Differential Equations.- Classical Harmonic Oscillator.- Stochastic Partial Differential Equations.- Spartan Random Fields and Stochastic Partial Differential Equations.- Covariance and Greens functions.- Whittle-Matйrn Stochastic Partial Differential Equation.- Diversion in Time Series.- Spatial Prediction Fundamentals.- General Principles of Linear Prediction.- Deterministic Interpolation.- Stochastic Methods.- Simple Kriging.- Ordinary Kriging.- Properties of the Kriging Predictor.- Topics Related to the Application of Kriging.- Evaluating Model Performance.- More on Spatial Prediction.- Linear Generalizations of Kriging.- Nonlinear Extensions of Kriging.- Connections with Gaussian Process Regression.- Bayesian Kriging.- Continuum Formulation of Linear Prediction.- The Local-Interaction Approach.- Big Spatial Data.- Basic Concepts and Methods of Estimation.- Estimator Properties.- Estimating the Mean with Ordinary Kriging.- Variogram Estimation.- Maximum Likelihood Estimation.- Cross Validation.- More on Estimation.- The Method of Normalized Correlations.- The Method of Maximum Entropy.- Stochastic Local Interactions.- Measuring Ergodicity.- Beyond the Gaussian Models.- Trans-Gaussian Random Fields.- Gaussian Anamorphosis.- Tukey g-h Random Fields.- Transformations based on Kappa Exponentials.- Hermite Polynomials.- Multivariate Students t-distribution.- Copula Models.- The Replica Method.- Binary Random Fields.- The Indicator Random Field.- Ising Model.- Generalized Linear Models.- Simulations.- Introduction.- Covariance Matrix Factorization.- Spectral Simulation Methods.- Fast-Fourier-Transform Simulation.- Randomized Spectral Sampling.- Conditional Simulation based on Polarization Method.- Conditional Simulation based on Covariance Matrix Factorization.- Monte Carlo Methods.- Sequential Simulation of Random Fields.- Simulated Annealing.- Karhunen-Loиve Expansion.- Karhunen-Loиve Expansion of Spartan Random Fields.- Epilogue.- A Jacobis Transformation Theorems.- B Tables of SSRF Properties.- C Linear Algebra Facts.- D Kolmogorov-Smirnov Test.- Glossary.- References.-


Excel data analysis

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Quantitative Analysis And Modeling Of Earth And Environmental Data

Автор: Wu Jiaping
Название: Quantitative Analysis And Modeling Of Earth And Environmental Data
ISBN: 0128163410 ISBN-13(EAN): 9780128163412
Издательство: Elsevier Science
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Цена: 11785.00 р. 16835.00 -30%
Наличие на складе: Есть (1 шт.)
Описание:

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other.

The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications).

  • Explores the analysis and processing of chronotopologic (i.e., space-time and spacetime) data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines
  • Studies the synthesis of scientific theory and empirical evidence (in its various forms) that offers a mathematically rigorous and physically meaningful assessment of real-world phenomena
  • Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics
  • Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented
Spatial Statistics

Автор: Kalkhan, Mohammed A.
Название: Spatial Statistics
ISBN: 1420069764 ISBN-13(EAN): 9781420069761
Издательство: Taylor&Francis
Рейтинг:
Цена: 15312.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Spatial Statistics and Modeling

Автор: Carlo Gaetan; Xavier Guyon
Название: Spatial Statistics and Modeling
ISBN: 1461424992 ISBN-13(EAN): 9781461424994
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Key spatial models for three types of data are discussed in this overview of spatial modeling and statistics. Real-world applications illustrate the concepts and theories described, in addition to probabilistic properties and related statistical methods.

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Автор: Fernandez-Avile G., Montero Jos? M., Fern?ndez-Avil? G.
Название: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
ISBN: 1118413180 ISBN-13(EAN): 9781118413180
Издательство: Wiley
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Цена: 11238.00 р.
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Описание: Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.

Spatial Socio-econometric Modeling (SSEM)

Автор: Gonzalez Canche
Название: Spatial Socio-econometric Modeling (SSEM)
ISBN: 3031248562 ISBN-13(EAN): 9783031248566
Издательство: Springer
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Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: With the primary goal of expanding access to spatial data science tools, this book offers dozens of minimal or low-code functions and tutorials designed to ease the implementation of fully reproducible Spatial Socio-Econometric Modeling (SSEM) analyses. Designed as a University of Pennsylvania Ph.D. level course for sociologists, political scientists, urban planners, criminologists, and data scientists, this textbook equips social scientists with all concepts, explanations, and functions required to strengthen their data storytelling. It specifically provides social scientists with a comprehensive set of open-access minimal code tools to: •Identify and access place-based longitudinal and cross-sectional data sources and formats •Conduct advanced data management, including crosswalks, joining, and matching •Fully connect social network analyses with geospatial statistics •Formulate research questions designed to account for place-based factors in model specification and assess their relevance compared to individual- or unit-level indicators •Estimate distance measures across units that follow road network paths •Create sophisticated and interactive HTML data visualizations cross-sectionally or longitudinally, to strengthen research storytelling capabilities •Follow best practices for presenting spatial analyses, findings, and implications •Master theories on neighborhood effects, equality of opportunity, and geography of (dis)advantage that undergird SSEM applications and methods •Assess multicollinearity issues via machine learning that may affect coefficients' estimates and guide the identification of relevant predictors •Strategize how to address feedback loops by using SSEM as an identification framework that can be merged with standard quasi-experimental techniques like propensity score models, instrumental variables, and difference in differences •Expand the SSEM analyses to connections that emerge via social interactions, such as co-authorship and advice networks, or any form of relational data The applied nature of the book along with the cost-free, multi-operative R software makes the usability and applicability of this textbook worldwide.

Hierarchical modeling and analysis for spatial data

Автор: Banerjee, Sudipto Carlin, Bradley P. Gelfand, Alan E.
Название: Hierarchical modeling and analysis for spatial data
ISBN: 1439819173 ISBN-13(EAN): 9781439819173
Издательство: Taylor&Francis
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Цена: 15310.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides a broad-based overview of the biology of the red panda, Ailurus fulgens. This book gathers the information on the red panda both from the field and captivity as well as from cultural aspects, and attempts to answer that most fundamental of questions, `What is a red panda?`

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Автор: Shi, Wenzhong
Название: Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
ISBN: 1420059270 ISBN-13(EAN): 9781420059274
Издательство: Taylor&Francis
Рейтинг:
Цена: 24499.00 р.
Наличие на складе: Нет в наличии.

Collecting Spatial Data

Автор: Werner G. M?ller
Название: Collecting Spatial Data
ISBN: 3642068294 ISBN-13(EAN): 9783642068294
Издательство: Springer
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Цена: 20263.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated.

Fuzzy Modeling with Spatial Information for Geographic Problems

Автор: Frederick E. Petry; Vincent B. Robinson; Maria A.
Название: Fuzzy Modeling with Spatial Information for Geographic Problems
ISBN: 3642062644 ISBN-13(EAN): 9783642062643
Издательство: Springer
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Цена: 26120.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Reasoning About Regions, Relations, and Fields.- Fuzzy Reasoning about Geographic Regions.- Combined Extraction of Directional and Topological Relationship Information from 2D Concave Objects.- Field Based Methods for the Modeling of Fuzzy Spatial Data.- Modeling Localities with Fuzzy Sets and GIS.- Fuzzy Classification.- Mining Weather Data Using Fuzzy Cluster Analysis.- Modelling the Fuzzy Spatial Extent of Geographical Entities.- Multi-Dimensional Interpolations with Fuzzy Sets.- Talking Space - A Social & Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics.- A Valuation of the Reliability of a GIS Based on the Fuzzy Logic in a Concrete Case Study.- Fuzzy Representations of Landscape Features.- Fuzziness and Ambiguity in Multi-Scale Analysis of Landscape Morphometry.- Fuzzy Representation of Special Terrain Features Using a Similarity-based Approach.- Decision Making with GIS and Fuzzy Sets.- Spatial Decision-Making Using Fuzzy Decision Tables: Theory, Application and Limitations.- Spatial Decision Making Using Fuzzy GIS.- Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents.

Bayesian disease mapping

Автор: Lawson, Andrew B. (medical University Of South Carolina, Charleston, Usa)
Название: Bayesian disease mapping
ISBN: 1138575429 ISBN-13(EAN): 9781138575424
Издательство: Taylor&Francis
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Цена: 19906.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, the third edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications.

Spatial Ecology and Conservation Modeling

Автор: Robert Fletcher; Marie-Jos?e Fortin
Название: Spatial Ecology and Conservation Modeling
ISBN: 3030019888 ISBN-13(EAN): 9783030019884
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation.


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