A New Systems Thinking Approach to Sustainable Resource Management: Principles and Applications introduces an innovative approach to exploring systems holistically and understanding complex interconnected dynamics effectively among technical systems, natural systems, and human activities to address challenges in resource management. This book covers the fundamental principles of “systems” and ”sustainability”, and introduces the methodology of “new systems thinking,” which comprises system modeling, mapping, integration, analysis, and sustainability assessment. The application of this new systems thinking approach is demonstrated through practical case studies, including waste management systems, food-energy-water nexus, and biorefinery systems. This is an excellent reference for academics, undergraduate and postgraduate students, professional engineers, and policymakers across various disciplines including: chemical and process engineering, environmental science, environmental engineering, and environmental management. • Introduces the “new systems thinking” approach and explains the core principles of system modeling, mapping, integration, analysis, and sustainability assessment • Guides readers through methodologies with step-by-step instructions, illustrated with example problems • Includes practical case studies to equip readers for real-world projects related to sustainable resource management, embracing the new systems thinking approach
A New Systems Thinking Approach to Sustainable Resource Management: Principles and Applications introduces an innovative approach to exploring systems holistically and understanding complex interconnected dynamics effectively among technical systems, natural systems, and human activities to address challenges in resource management. This book covers the fundamental principles of “systems” and ”sustainability”, and introduces the methodology of “new systems thinking,” which comprises system modeling, mapping, integration, analysis, and sustainability assessment. The application of this new systems thinking approach is demonstrated through practical case studies, including waste management systems, food-energy-water nexus, and biorefinery systems. This is an excellent reference for academics, undergraduate and postgraduate students, professional engineers, and policymakers across various disciplines including: chemical and process engineering, environmental science, environmental engineering, and environmental management. • Introduces the “new systems thinking” approach and explains the core principles of system modeling, mapping, integration, analysis, and sustainability assessment • Guides readers through methodologies with step-by-step instructions, illustrated with example problems • Includes practical case studies to equip readers for real-world projects related to sustainable resource management, embracing the new systems thinking approach
Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. A website for the book at https://edge.sagepub.com/roberts1e includes SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book. Solutions to two of the end-of-chapter exercise types are also available for students to practice. The instructor side of the site contains editable PowerPoint slides, other solutions, and a test bank.
Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people’s minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems.
Takagi, rather a cute and innocent guy, is best friends and class mates with Kumoi, the tall, intellectual guy. One day, Takagi sees a pencil sketch of a person in between Kumoi's notebook pages, stunned to find a sketch of a man, resembles his older brother. So he asks, "Is that a picture of my brother... he passed away 6 years ago…?" Kumoi responds, "no, no… that's nobody. It's just a doodle of a random guy." Takagi tells himself that Kumoi couldn't have possibly known his brother and that this was just a silly fluke and the drawing was nothing but a random drawing... but he can't stop thinking there is something more to the sketch...
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.