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

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Yes, you can access Quantitative Analysis and Modeling of Earth and Environmental Data by Jiaping Wu,Junyu He,George Christakos in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geophysics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Elsevier

Year

2021

ISBN

9780128163429

Topic

Physical Sciences

Subtopic

Geophysics

Cover image
Title page
Table of Contents
Copyright
Dedication
Preface
Chapter 1: Chronotopologic data analysis
Chapter 2: Chronotopology theory
Chapter 3: CTDA methodology
Chapter 4: Chrono-geographic statistics
Chapter 5: Classical geostatistics
Chapter 6: Modern geostatistics
Chapter 7: Chronotopologic interpolation
Chapter 8: Chronotopologic krigology
Chapter 9: Chronotopologic BME estimation
Chapter 10: Studying physical laws
Chapter 11: CTDA by dimensionality reduction
Chapter 12: DIA models
Chapter 13: Syntheses of CTDA techniques with DIA models
References
Index