Using Data Science and Landscape Approach to Sustain Historic Cities

Detalles Bibliográficos
Autor principal:	Moazzeni Khorasgani, Ali (Autor)
Autor Corporativo:	SpringerLink (Online service)
Sumario:	XVII, 106 p. 24 illus., 22 illus. in color. text
Lenguaje:	inglés
Publicado:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:	1st ed. 2024.
Materias:	Engineering > Data processing. Cultural property. Sustainable architecture. Landscape architecture. Data Engineering. Cultural Heritage. Sustainable Architecture/Green Buildings. Landscape Architecture.
Acceso en línea:	https://doi.org/10.1007/978-3-031-68161-5
Formato:	Electrónico Libro

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