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Using data science and landscape approach to sustain historic cities

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Using data science and landscape approach to sustain historic cities/ by Ali Moazzeni Khorasgani.
作者:	Moazzeni Khorasgani, Ali.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xvii, 106 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Historic sites - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-68161-5
ISBN:	9783031681615

Using data science and landscape approach to sustain historic cities
Moazzeni Khorasgani, Ali.

Using data science and landscape approach to sustain historic cities[electronic resource] /by Ali Moazzeni Khorasgani. - Cham :Springer Nature Switzerland :2024. - xvii, 106 p. :ill. (some col.), digital ;24 cm.

Chapter 1 Introduction -- Chapter 2 Understanding Historic Cities -- Chapter 3 Evolution of Regeneration Development -- Chapter 4 Landscape Approach for Historic City Sustainability -- Chapter 5 Data Science for Historic City Analysis -- Chapter 6 Sustainable Development Strategies for Historic Cities -- Chapter 7 Conclusion: Integrating Landscape and Data Science Approaches.

This book comprehensively explores sustaining historic cities using a landscape approach and data science. The author offers valuable insights for professionals and enthusiasts interested in preserving and developing urban heritage through a data driven approach. Drawing on the synergy between landscape architecture and data science, the book delves into the intricate interplay between historical, cultural, and environmental factors in urban settings. Readers will understand how to navigate historic cities' complex challenges through case studies, research findings, and practical methodologies. The book equips readers with innovative strategies for preserving the authenticity of these cities while embracing sustainable development practices. By blending theory and real-world applications, this book is a comprehensive guide for creating thriving, resilient, and culturally rich urban environments. Integrates landscape architecture and data science disciplines to tackle the complexities of sustaining historic cities; Offers a unique perspective that bridges the gap between heritage preservation and data-driven methodologies; Gives practical insights into how landscape and data science approaches have been successfully applied.

ISBN: 9783031681615

Standard No.: 10.1007/978-3-031-68161-5doiSubjects--Topical Terms:

1482648
Historic sites
--Data processing.

LC Class. No.: CC135

Dewey Class. No.: 363.690285

Using data science and landscape approach to sustain historic cities
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