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Erschienen in: Soft Computing 2/2021

17.07.2020 | Methodologies and Application

RETRACTED ARTICLE: Intelligent analysis framework for healthy environment spatial model of BIM horticultural therapy based on complex network information model

verfasst von: Hongxiu Liu, Shuyan Ma

Erschienen in: Soft Computing | Ausgabe 2/2021

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Abstract

With the continuous development of modern life, people have paid more and more attention to the needs of healthy and comfortable outdoor activities. The traditional static recuperation mode has been impacted, and the modern dynamic leisure agricultural tourism health care mode is more and more popular. Horticultural therapy improves people’s cognitive, psychological and physiological functions and provides people with positive values through plant-related sensory activities and horticultural operations. Therefore, horticultural therapy has become a product of the idea that designers have been exploring new forms of landscape architecture, trying to create a more comfortable environment and maximize the benefits of people in landscape architecture. In recent years, the theoretical and empirical studies of complex networks provide an important means to reveal the complexity of complex systems. As a new and active field of scientific research, complex networks have been introduced into the empirical research of real-world networks for a long time. At present, more and more people pay attention to computer science, social science, biological science, management science and many other fields. This paper constructs a BIM horticultural therapy health environment analysis system based on complex network model. The experimental results show that the proposed method can effectively analyze the application of BIM horticultural therapy in healthy environment.

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Metadaten
Titel
RETRACTED ARTICLE: Intelligent analysis framework for healthy environment spatial model of BIM horticultural therapy based on complex network information model
verfasst von
Hongxiu Liu
Shuyan Ma
Publikationsdatum
17.07.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 2/2021
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05189-9

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