Using Data Science and Landscape Approach to Sustain Historic Cities
| Main Author: | |
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| Corporate Author: | |
| Summary: | XVII, 106 p. 24 illus., 22 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edition: | 1st ed. 2024. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-68161-5 |
| Format: | Electronic eBook |
Table of Contents:
- 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.