Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations

Chronotopologic data analysis is a systematic, quantitative approach to analyzing multi-sourced data, providing information about the spatial distribution and temporal dynamics of natural attributes. It considers the synthesis of scientific theory-based methods and data-driven techniques to improve understanding of physical laws of change and handle in-situ uncertainties and measurement errors. The book covers a wide range of data in various forms and sources and includes real-world practical applications and practice exercises.

Format: Paperback / softback
Length: 502 pages
Publication date: 14 December 2021
Publisher: Elsevier Science Publishing Co Inc

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations delves into the realm of chronotopologic data analysis, a systematic approach that offers a comprehensive quantitative analysis of multi-sourced data, shedding light on the spatial distribution and temporal dynamics of natural attributes such as physical, biological, health, and social phenomena. This comprehensive text encompasses models and techniques tailored to handle data that exhibit spatial and temporal variations, aiming to enhance our understanding of the underlying physical laws governing the available numerical datasets. It takes into account the inherent uncertainties and relevant measurement errors, ensuring a robust analysis. By seamlessly integrating scientific theory-based methods, such as stochastic modeling and modern geostatistics, with data-driven techniques like machine learning and artificial neural networks, this book aims to synergistically combine their individual strengths, fostering a harmonious symbiosis. The scope of the notions and methods presented in this text extends to a wide array of data in various forms and sources, encompassing hard measurements, soft observations, secondary information, and auxiliary variables. This includes ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts. Furthermore, real-world practical applications and practice exercises are incorporated to provide a hands-on learning experience for students and researchers in the fields of earth and environmental sciences, including environmental health and human exposure applications. This book serves as a comprehensive step-by-step tutorial, guiding students and researchers in mastering data analysis and modeling techniques, enabling them to make informed decisions and contribute to the advancement of our understanding of the Earth and its environment.

Dimension: 235 x 191 (mm)
ISBN-13: 9780128163412