Overview
- Highlights major quantitative and qualitative methods and approaches in the field of urban analysis
- Discusses the background and relevance of various approaches to urban studies and offers guidance on implementing specific methodologies
- Includes real-world examples to flesh out the approaches discussed
Part of the book series: Cities Research Series (CRS)
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Table of contents (11 chapters)
Keywords
About this book
This book highlights major quantitative and qualitative methods and approaches used in the field of urban analysis. The respective chapters cover the background and relevance of various approaches to urban studies and offer guidance on implementing specific methodologies. Each chapter also provides links to real-world examples. The book is unique in its focus on Australian examples and subject matter, presented by recognized experts in the field.
Editors and Affiliations
About the editor
Trained in economics and urban sociology, Scott Baum currently teaches urban analysis and research methods and design at Griffith University, Queensland, Australia. He has published more than 100 scientific papers, book chapters and conference papers and has led or been involved in research projects worth AUD 13 million. His research has utilized a broad range of approaches including both quantitative and qualitative methods; in addition, he has offered research methods training and workshops both in Australia and overseas.
Bibliographic Information
Book Title: Methods in Urban Analysis
Editors: Scott Baum
Series Title: Cities Research Series
DOI: https://doi.org/10.1007/978-981-16-1677-8
Publisher: Springer Singapore
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-1676-1Published: 06 June 2021
Softcover ISBN: 978-981-16-1679-2Published: 07 June 2022
eBook ISBN: 978-981-16-1677-8Published: 05 June 2021
Series ISSN: 2662-4842
Series E-ISSN: 2662-4850
Edition Number: 1
Number of Pages: VII, 205
Number of Illustrations: 7 b/w illustrations, 16 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Landscape/Regional and Urban Planning, Urban Economics, Urban Studies/Sociology, Math. Appl. in Environmental Science