Using Data Science and Landscape Approach to Sustain Historic Cities

Podrobná bibliografie
Hlavní autor: Moazzeni Khorasgani, Ali (Autor)
Korporativní autor: SpringerLink (Online service)
Shrnutí:XVII, 106 p. 24 illus., 22 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Vydání:1st ed. 2024.
Témata:
On-line přístup:https://doi.org/10.1007/978-3-031-68161-5
Médium: Elektronický zdroj E-kniha
Obsah:
  • 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.