Random Fields for Spatial Data Modeling, Dionisis Hristopulos
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: 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
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.
Автор: Carlo Gaetan; Xavier Guyon Название: Spatial Statistics and Modeling ISBN: 1461424992 ISBN-13(EAN): 9781461424994 Издательство: Springer Рейтинг: 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.
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 Рейтинг: Цена: 11238.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Gonzalez Canche Название: Spatial Socio-econometric Modeling (SSEM) ISBN: 3031248562 ISBN-13(EAN): 9783031248566 Издательство: Springer Рейтинг: 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.
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 Рейтинг: 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?`
Автор: Werner G. M?ller Название: Collecting Spatial Data ISBN: 3642068294 ISBN-13(EAN): 9783642068294 Издательство: Springer Рейтинг: 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.
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 Рейтинг: 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.
Автор: Lawson, Andrew B. (medical University Of South Carolina, Charleston, Usa) Название: Bayesian disease mapping ISBN: 1138575429 ISBN-13(EAN): 9781138575424 Издательство: Taylor&Francis Рейтинг: 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.
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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