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|a 9783031681615
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|a 10.1007/978-3-031-68161-5
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|a Moazzeni Khorasgani, Ali.
|e author.
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|4 http://id.loc.gov/vocabulary/relators/aut
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|a Using Data Science and Landscape Approach to Sustain Historic Cities
|h [electronic resource] /
|c by Ali Moazzeni Khorasgani.
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|a 1st ed. 2024.
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|a Cham :
|b Springer Nature Switzerland :
|b Imprint: Springer,
|c 2024.
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|a XVII, 106 p. 24 illus., 22 illus. in color.
|b online resource.
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|a text
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|a online resource
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|b Single logical reading order
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|b Short alternative textual descriptions
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|a text file
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|a 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.
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|a 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.
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|a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
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|a No reading system accessibility options actively disabled
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|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
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|a Engineering
|x Data processing.
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|a Cultural property.
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|a Sustainable architecture.
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|a Landscape architecture.
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|a Data Engineering.
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|a Cultural Heritage.
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|a Sustainable Architecture/Green Buildings.
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|a Landscape Architecture.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
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|i Printed edition:
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|u https://doi.org/10.1007/978-3-031-68161-5
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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