Total Socioenvironmental Systems: An Analytical Framework for Human-Natural Interactions and Sustainability
Autor Yichun Xieen Limba Engleză Hardback – 14 oct 2023
This book presents a new analytical framework and several newly developed quantitative methods to investigate the interactions between climatic, ecological, and socioeconomic factors as a total socioenvironmental system (TSES). Facing the increasingly imperiled ecosystems around the world, understanding the complex relationships between humans and environments is of utmost importance. This book offers several solutions to these challenges based on the author's research and illustrates them with case studies and annotated data sets. It develops the conceptual framework of a TSES, emphasizing the identification of causal relationships as a starting point to investigating the interactions between biophysical phenomena and socioeconomic factors. The book experiments with various spatial data assimilation techniques such as GIS for matching diverged areal units over which biophysical and socioeconomic datasets are collected. Trend extraction methods including machine learning for synchronizing distinct temporal rhythms hidden in biophysical and socioeconomic phenomena to augment their causal relationships are explored as well. The book also examines sustainability in urban systems, social systems, and ecosystems. This volume will be useful to readers across many disciplines, including but not limited to geographic information science, ecological informatics, environmental informatics, regional and urban modeling, quantitative social sciences and planning.
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Specificații
ISBN-13: 9783031395932
ISBN-10: 303139593X
Pagini: 264
Ilustrații: XXII, 264 p. 1 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 303139593X
Pagini: 264
Ilustrații: XXII, 264 p. 1 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1 -Theoretical Foundations of Total Socioenvironmental System (TSES).- Chapter 2-Analytical Frameworks of TSES.- Chapter 3 - Building Temporally Compatible TSES Dataset.- Chapter 4 - Empirically investigating time-series causality between grassland productivity and socio-environmental factors, Inner Mongolia as a Case Study.- Chapter 5 - Empirical evaluation of urban sustainability from underlying causal structures and legacy effects: The prefecture cities in China as a Case Study.- Chapter 6 - Constructing Spatially Compatible TSES Dataset: Examining Urban Declining in Southeast Michigan as the case study.- Chapter 7 -Empirically examining spatial processes of urban declining: Southeast Michigan as the case study.- Chapter 8 - Modeling grassland deterioration considering spatial variations and time-lag effects at a finer geographical scale.- Chapter 9 - Innovations, Limitations, and Future Directions of TSES.
Notă biografică
Dr. Yichun Xie is a Professor in the Department of Geography and Geology at Eastern Michigan University.
Textul de pe ultima copertă
This book presents a new analytical framework and several newly developed quantitative methods to investigate the interactions between climatic, ecological, and socioeconomic factors as a total socioenvironmental system (TSES). Facing the increasingly imperiled ecosystems around the world, understanding the complex relationships between humans and environments is of utmost importance. This book offers several solutions to these challenges based on the author's research and illustrates them with case studies and annotated data sets. It develops the conceptual framework of a TSES, emphasizing the identification of causal relationships as a starting point to investigating the interactions between biophysical phenomena and socioeconomic factors. The book experiments with various spatial data assimilation techniques such as GIS for matching diverged areal units over which biophysical and socioeconomic datasets are collected. Trend extraction methods including machine learning for synchronizing distinct temporal rhythms hidden in biophysical and socioeconomic phenomena to augment their causal relationships are explored as well. The book also examines sustainability in urban systems, social systems, and ecosystems. This volume will be useful to readers across many disciplines, including but not limited to geographic information science, ecological informatics, environmental informatics, regional and urban modeling, quantitative social sciences and planning.
Caracteristici
Presents total socioenvironmental analytical frameworks to examine climatic, ecological, and socioeconomic interactions Designs novel computational learning-based time-series and areal interpolation-based spatial data integration methods Examines sustainability in urban systems, social systems, and ecosystems with time-space unified socioenvironmental data