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Quantitative Analysis and Modeling of Earth and Environmental Data - Space-Time and Spacetime Data Considerations (Paperback)
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Quantitative Analysis and Modeling of Earth and Environmental Data - Space-Time and Spacetime Data Considerations (Paperback)
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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).
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