Using Data Science and Landscape Approach to Sustain Historic Cities

Using Data Science and Landscape Approach to Sustain Historic Cities

Bibliographic Details
Main Author: Moazzeni Khorasgani, Ali (Author)
Corporate Author: SpringerLink (Online service)
Summary:XVII, 106 p. 24 illus., 22 illus. in color.
text
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Subjects:
Engineering > Data processing.
Cultural property.
Sustainable architecture.
Landscape architecture.
Data Engineering.
Cultural Heritage.
Sustainable Architecture/Green Buildings.
Landscape Architecture.
Online Access:https://doi.org/10.1007/978-3-031-68161-5
Format: Electronic eBook

Internet

https://doi.org/10.1007/978-3-031-68161-5

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