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A platform for research: civil engineering, architecture and urbanism
Dividing Ecological units of Rural Landscape Based on Clustering Algorithm
As a practical discipline, landscape architecture is an indispensable learning of designing rural landscapes. The ecological unit can reflect the ecological function systematization of the rural landscape, and the division of ecological unit is inevitably necessary, and the ordinary division method cannot solve the problems of ecological unit diversity in the rural landscape. Therefore, this paper proposes a division method based on clustering algorithm to analyze the division of ecological units. First, the computer is used to analyze the landscape ecology, dividing ecological units, so as to reduce the division of ecological units in the interfering factor. Then, the computer divides the ecological unit of the rural landscape to form a scheme for dividing the ecological unit, and results in dividing the ecological unit Conduct a comprehensive analysis.
Dividing Ecological units of Rural Landscape Based on Clustering Algorithm
As a practical discipline, landscape architecture is an indispensable learning of designing rural landscapes. The ecological unit can reflect the ecological function systematization of the rural landscape, and the division of ecological unit is inevitably necessary, and the ordinary division method cannot solve the problems of ecological unit diversity in the rural landscape. Therefore, this paper proposes a division method based on clustering algorithm to analyze the division of ecological units. First, the computer is used to analyze the landscape ecology, dividing ecological units, so as to reduce the division of ecological units in the interfering factor. Then, the computer divides the ecological unit of the rural landscape to form a scheme for dividing the ecological unit, and results in dividing the ecological unit Conduct a comprehensive analysis.
Dividing Ecological units of Rural Landscape Based on Clustering Algorithm
Linling, Li (author)
2024-02-23
1021367 byte
Conference paper
Electronic Resource
English
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