The validity of certain critical reasoning steps carried out during or on the sidelines of the environmental science, public health survey, medical experiment, population risk assessment, or disease space-time mapping under conditions of in situ uncertainty and space-time heterogeneity, is often not given sufficient attention and may even be out of the investigator's line of thought. For example, the technical complexity of an environmental exposure experiment may overshadow the logical assumptions made when moving from one phase of the experiment to the next, or the study of population risk assessment may focus on analytical and computational matters, whereas methodological and cultural factors are neglected.This book helps health investigators structure their thinking so that they avoid logical mistakes and argument pitfalls, and also gain new insights about reality, improve their awareness of the environment and context within which one's thinking takes place.

China's urban growth is unparalleled in the history of global urbanization, and will undoubtedly create huge challenges to China as it modernizes its society. Adopting an interdisciplinary approach, this book presents an overview of the radical transformation of China's urban space since the 1970s, arguing that to study the Chinese urbanization process one must recognize the distinctive political economy of China. After a long period as a planned socialist economy, China's rapid entry into the global economy has raised suggestions that modernization in China will inevitably result in urban patterns and features like those of cities in developed market economies. This book argues that this is unlikely in the short term, because processes of urban transition in China must be interpreted through the lens of a unique and unprecedented juxtaposition of socialism and the market economy, which is leading to distinctive patterns of Chinese urbanization. Richly illustrated with maps, diagrams and in-depth case studies, this book will be an invaluable resource to students and scholars of urban economics and policy, geography, and the development of China.

China's urban growth is unparalleled in the history of global urbanization, and will undoubtedly create huge challenges to China as it modernizes its society. Adopting an interdisciplinary approach, this book presents an overview of the radical transformation of China's urban space since the 1970s, arguing that to study the Chinese urbanization process one must recognize the distinctive political economy of China.

After a long period as a planned socialist economy, China's rapid entry into the global economy has raised suggestions that modernization in China will inevitably result in urban patterns and features like those of cities in developed market economies. This book argues that this is unlikely in the short term, because processes of urban transition in China must be interpreted through the lens of a unique and unprecedented juxtaposition of socialism and the market economy, which is leading to distinctive patterns of Chinese urbanization.

Richly illustrated with maps, diagrams and in-depth case studies, this book will be an invaluable resource to students and scholars of urban economics and policy, geography, and the development of China.

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).