Applied Multiregional Demography Through Problems: A Programmed Learning Workbook with Exercises and Solutions - Hardcover

Rogers, Andrei

Hardcover

ISBN 10: 3030382141 ISBN 13: 9783030382148

Verlag: Springer, 2020

Inhaltsangabe

Written by the 2018 Mindel C. Sheps Award winner, this textbook offers a unique method for teaching how to model spatial (multiregional) population dynamics through models of increasing complexity. Each chapter in this programmed workbook starts with a descriptive text, followed by a sequence of exercises focused on particular multiregional models, of increasing complexity, and then ends with the solutions.

It extends the current developments in the spatial analysis of social data towards improving our understanding of dynamics and interacting change across multiple populations in space.  Frameworks for analyzing such dynamics were first proposed in multiregional demography, over 40 years ago. This book revisits these methods and then illustrates how they may be used to analyze spatial data and study spatial population dynamics.

Topics covered include spatial population dynamics, population projections and estimations, spatial and age structure of migration flows and much more.  As such this innovative textbook is a great teaching and learning tool for teachers, students as well as individuals who want to study demographic processes across space.

Über diesen Titel

Über die Autorin bzw. den Autor

Before his move to Colorado in 1983, the author spent eight years at the International Institute for Applied Systems Analysis (IIASA) in Laxenburg, Austria, where he headed a research program that addressed global human settlement problems and issues. He moved to Boulder, Colorado in 1983 to take on the job of Director of the Population Program, stepping down after 20 years in 2003. He is the author of twelve books on various aspects of population analysis. His current teaching and research interests revolve around the topics of immigration, internal migration, and population geographies.

In 2000, Professor Rogers received the Walter Isard Award for Distinguished Lifetime Scholarly Achievement from the North American Regional Science Association. In 2018 Professor Rogers was awarded the Mindel C. Sheps Award at the Population Association of America meeting. This award is given every two years for “outstanding contributions to demographic methodology” and is the world's highest recognition in formal demography.

Von der hinteren Coverseite

<p>Written by the 2018 Mindel C. Sheps Award winner, this textbook offers a unique method for teaching how to model spatial (multiregional) population dynamics through models of increasing complexity. Each chapter in this programmed workbook starts with a descriptive text, followed by a sequence of exercises focused on particular multiregional models, of increasing complexity, and then ends with the solutions.</p><p>It extends the current developments in the spatial analysis of social data towards improving our understanding of dynamics and interacting change across multiple populations in space.&nbsp; Frameworks for analyzing such dynamics were first proposed in multiregional demography, over 40 years ago. This book revisits these methods and then illustrates how they may be used to analyze spatial data and study spatial population dynamics.<br></p><p>Topics covered include spatial population dynamics, population projections and estimations, spatial and age structure of migration flows and much more.&nbsp; As such this innovative textbook is a great teaching and learning tool for teachers, students as well as individuals who want to study demographic processes across space.<br></p><div><br></div><p></p><p></p><p></p><p></p>

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 3030382141
• ISBN 13: 9783030382148
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 172
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Deutschland