喀斯特地区桥梁空间分布格局及其影响因素研究  

Spatial distribution pattern and influencing factors of bridges in karst areas

作　　者：何鑫 钟九生[1] 王雨露 林双双 HE Xin;ZHONG Jiusheng;WANG Yulu;LIN Shuangshuang(School of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025,China)

机构地区：[1]贵州师范大学地理与环境科学学院,贵州贵阳550025

出　　处：《贵州科学》2022年第1期87-93,共7页Guizhou Science

基　　金：国家自然科学基金项目(41661081);贵州省科技计划项目:黔科合平台人才(〔2017〕5726-56)。

摘　　要：为揭示喀斯特地区桥梁的空间分布规律及影响因素,以贵州省为例,运用变异系数法、核密度估计、相关分析等方法,借助ArcGIS、SPSS软件,分析了贵州省桥梁空间分布、规模、形态特征,探索桥梁布局类型,自然、社会、经济因素对桥梁空间布局的影响。结果表明:①根据泰森多边形分析,贵州省桥梁空间分布CV值为148.20%,属集群分布,各地区CV值均大于临界值64%,桥梁空间聚集类型亦属于集群分布;②贵州省桥梁分布较为密集,平均密度为0.017个/km^(2),最大核密度值为0.24个/km^(2);③桥梁的空间分布受自然、社会、经济因素的综合影响,更倾向分布于“坡度低、高程低、地形起伏度低”的地形条件,河流里程对桥梁空间分布有着显著性影响。In order to reveal the spatial distribution pattern and the influencing factors of bridges in karst areas,we took Guizhou Province as the research area,adopted methods such as coefficient of variation,kernel density estimation,and correlation analysis,and software such as ArcGIS and SPSS,analyzed the spatial distribution,scale and morphological characteristics of bridges in Guizhou Province,and explored the types of bridge layouts and the influence of natural,social and economic factors on the spatial distribution of bridges.The results show that:①according to Tyson polygon analysis,the CV value of spatial distribution of bridges in Guizhou is 148.20%,which belongs to the cluster distribution;the CV value in each region is greater than the critical value of 64%,which also belongs to the cluster distribution;②the distribution of bridges in Guizhou is relatively dense,with an average density of 0.017 bridge/km^(2),and a maximum kernel density of 0.24 bridge/km^(2);③the spatial distribution of bridges is affected by the comprehensive influence of natural,social and economic factors,and the bridges tend to be distributed in terrain conditions of“gentle slope,low elevation,and little fluctuation”;river mileage has a significant impact on the spatial distribution of bridges.

关 键 词：喀斯特地区 桥梁 空间分布 影响因素 贵州省 

分 类 号：P902[天文地球—自然地理学]