Using Data Science and Landscape Approach to Sustain Historic Cities

Using Data Science and Landscape Approach to Sustain Historic Cities

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Moazzeni Khorasgani, Ali (مؤلف)
مؤلف مشترك:	SpringerLink (Online service)
الملخص:	XVII, 106 p. 24 illus., 22 illus. in color. text
اللغة:	الإنجليزية
منشور في:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
الطبعة:	1st ed. 2024.
الموضوعات:	Engineering > Data processing. Cultural property. Sustainable architecture. Landscape architecture. Data Engineering. Cultural Heritage. Sustainable Architecture/Green Buildings. Landscape Architecture.
الوصول للمادة أونلاين:	https://doi.org/10.1007/978-3-031-68161-5
التنسيق:	الكتروني كتاب

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