An evaluation method of urban green space landscape spatial structure based on entropy weight method
Zhen Li
International Journal of Environmental Technology and Management, 2023, vol. 26, issue 6, 484-497
Abstract:
Because the traditional evaluation method of urban green space landscape spatial structure has the problems of low evaluation accuracy and long evaluation time, an evaluation method of urban green space landscape spatial structure based on entropy weight method is proposed. Firstly, under the selection principle of evaluation indicators, the evaluation index system of urban green space landscape spatial structure is constructed, and the evaluation indicators are obtained. Then, the trend surface filtering method is used to detect the abnormal data in the evaluation index data, and then according to the detection results, the entropy weight method is used to determine the weight of the evaluation index. Finally, based on the determined weight value, the comprehensive evaluation of urban green space landscape spatial structure is carried out. The simulation results show that the proposed method has higher accuracy and shorter evaluation time for urban green space landscape spatial structure evaluation.
Keywords: GIS technology; urban green space landscape; space structure; trend surface filtering method; entropy weight method. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=134334 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetma:v:26:y:2023:i:6:p:484-497
Access Statistics for this article
More articles in International Journal of Environmental Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().