摘要
为提升景观规划效用,提出基于数据量化分析的动态视觉景观规划。以数据量化分析作为动态视觉景观规划计算手段,通过人均绿地的面积、绿地率、多样性的指数、优势度指数、均匀度指数、破碎度的指数、分离度指数、分维度指数、连通性指数得到景观空间格局指标,再利用城市景观可达性、景观服务效率、人口密度、城市路网、景观绿地形状实现数据量化分析。同时以角二阶矩、相关系数、信息熵以及对比度四种纹理特征描述景观系统图像纹理,采用最大似然法分类完成动态景观整体布局规划。仿真结果证明:所提方法系统性研究相关数据,可精准表达规划设计细节,有效改善地区生态环境,降低空气污染,可作为现实景观规划理论基础。
Dynamic visual landscape planning based on quantitative data analysis is designed to improve the effectiveness of landscape planning.According to the quantitative analysis results of data(per capita green space area,green space rate,diversity index,dominance index,evenness index,fragmentation index,separation index,sub-dimension index and connectivity index),the indicators of landscape spatial pattern were obtained.Urban landscape accessibility,landscape service efficiency,population density,urban road network and landscape green space shape were applied to realize data quantitative analysis.Meanwhile,four texture features such as angular second-order moment,correlation coefficient,information entropy and contrast were introduced to describe the image texture of the landscape system,and the maximum likelihood method was also used to classify to complete the overall layout planning of the dynamic landscape.The simulation results show that this method can accurately express the planning and design details,effectively improve the regional ecological environment and reduce air pollution.
作者
刘晓青
芮潇
LIU Xiao-qing;RUI Xiao(Chengxian College,Southeast University,Nanjing Jiangsu 210088,China)
出处
《计算机仿真》
北大核心
2023年第2期236-239,248,共5页
Computer Simulation
基金
东南大学成贤学院青年教师科研发展基金项目(z0025)。
关键词
数据量化分析
动态视觉
景观规划
最大似然法
景观可达性
空间格局指标
Data quantitative analysis
Dynamic vision
Landscape planning
Maximum likelihood method
Landscape accessibility
Spatial pattern index
