Using Data Science and Landscape Approach to Sustain Historic Cities

Using Data Science and Landscape Approach to Sustain Historic Cities

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Moazzeni Khorasgani, Ali (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
الملخص:XVII, 106 p. 24 illus., 22 illus. in color.
text
اللغة:الإنجليزية
منشور في: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
الطبعة:1st ed. 2024.
الموضوعات:
Engineering > Data processing.
Cultural property.
Sustainable architecture.
Landscape architecture.
Data Engineering.
Cultural Heritage.
Sustainable Architecture/Green Buildings.
Landscape Architecture.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-031-68161-5
التنسيق: الكتروني كتاب
جدول المحتويات:
  • 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.

مواد مشابهة