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江苏省村落系统的空间格局特征与景观背景研究
引用本文:张艳.江苏省村落系统的空间格局特征与景观背景研究[J].安徽农业科学,2013(29):11737-11740.
作者姓名:张艳
作者单位:南京大学生命科学院,江苏南京,210093
摘    要:基于2000年江苏省1:10000地形图及相关自然地理、人口、社会经济等数据,应用点格局分析及冗余分析技术,对江苏省村落的空间格局特征及其与号观背景要素的相关关系进行研究.结果表明:在0—8km的观测尺度上,村落系统总体表现出随观测尺度增加,依次呈均匀分布一随机分布一聚集分布的变化特征,但不同区域存在一定差异分析村落空间格局特征与景观背景要素的相关关系发现:村落在聚落占地率较高、王i£块密度较大地区趋于均匀分布,在地形要素等限制作用较大及经济水平较高区域多呈随机分布,在自然条件相对优越地区多呈聚集分布,总体上,自然地理要素对村落空间格局特征的影响最显著,社会经济要素的作用其次,区位与交通要素的作用相对较小、

关 键 词:点格局分析  尺度域  冗余分析  景观背景要素

Research on Spatial Pattern Characteristics of Rural Settlements and Relevant Landscape Context in Jiangsu Province
ZHANG Yan.Research on Spatial Pattern Characteristics of Rural Settlements and Relevant Landscape Context in Jiangsu Province[J].Journal of Anhui Agricultural Sciences,2013(29):11737-11740.
Authors:ZHANG Yan
Institution:ZHANG Yan (School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210093)
Abstract:To identify the spatial patterns of rural settlements and their relevant contributing context factors, a study was taken with point pattern analysis (PPA) and redundancy analysis (RDA) based on a 1:10 000 map in 2000 and the relevant geogxaphie, social and economic data ill 1995 --2005 in Jiangsu Province. The results showed that there existed a uniform - random - aggregated tyl.xe shifting t'()r almost all the rural settle- ments' distribution pattern aclx)ss Jiangsu Ih'ovinee as the observation scale increased from 0 to 8 kin, but still the differences among different re- gions could be detected. The result of RDA showed that rural settlements tended to distribute uniformly in area of high rural settlements pereenl- age coverage, randomly in area of high topographic restriction and fast developing area, aggregated in area in better natural condition such as a- bundant rainfall and higher net primary production. Comparatively, natural geographical factors were the most importazlt influencing factors fi)r rural settlements distribution, social and econ(mfic factors were the second, location and traffic tactors were relatively smaller.
Keywords:Point pattern analysis  Scale domain  Redundancy analysis  Landscape context factm  's
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