Using Data Science and Landscape Approach to Sustain Historic Cities eBook

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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.

This is a digital product.

Using Data Science and Landscape Approach to Sustain Historic Cities is written by Ali Moazzeni Khorasgani and published by Springer. The Digital and eTextbook ISBNs for Using Data Science and Landscape Approach to Sustain Historic Cities are 9783031681615, 3031681614 and the print ISBNs are 9783031681608, 3031681606.