Using Data Science and Landscape Approach to Sustain Historic Cities

Bibliografske podrobnosti
Glavni avtor:	Moazzeni Khorasgani, Ali (Author)
Korporativna značnica:	SpringerLink (Online service)
Izvleček:	XVII, 106 p. 24 illus., 22 illus. in color. text
Jezik:	angleščina
Izdano:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdaja:	1st ed. 2024.
Teme:	Engineering > Data processing. Cultural property. Sustainable architecture. Landscape architecture. Data Engineering. Cultural Heritage. Sustainable Architecture/Green Buildings. Landscape Architecture.
Online dostop:	https://doi.org/10.1007/978-3-031-68161-5
Format:	Elektronski Knjiga

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