摘要
为揭示地形因子对典型喀斯特高原居民点分布影响,利用Google Earth高分辨率影像和DEM数据,以贵州省毕节市大方县为研究区域,提取居民点作为基础分析数据;利用ArcGIS提取大方县高程、坡度、坡向、地表起伏度等地形因子,以及核密度分布图与Cv值分布图,分析地形对大方县居民点空间分布的影响。结果表明:大方县居民点空间分布主要呈现出中部、东北、东南聚集较为密集,其余区域稀疏;通过核密度分布图与Cv值分布图来看中部的城关镇、双三镇、六龙镇、羊场镇、小屯乡、文阁乡、竹园乡、安乐乡委高度密集区域,北部的长石镇也是居民点高度密集区域;4个地形因素中高程、坡度、地表起伏度3个地形因子对大方县居民点空间分布的影响明显,坡向的影响不明显。
In order to reveal the influence of topographical factors on the distribution of settlements in a typical karst plateau,Google earth high-resolution images and DEM data were used,and Dafang county,Bijie,Guizhou province was used as the research area,residential areas were extracted as the basic analysis data.ArcGIS was used to extract terrain factors such as elevation,slope,aspect and surface relief,as well as nucle⁃ar density density distribution map and Cv value distribution map in Dafang county.The results showed that:The spatial distribution of residential areas in Dafang county was mainly concentrated in the middle,north⁃east and Southeast,while the rest areas are sparse.According to the nuclear density distribution map and Cv distribution map,Chengguan town,Shuangsan town,Liulong town,Yangchang town,Xiaotun township,Wenge township,Zhuyuan township and Anle township committee were highly concentrated areas in the cen⁃tral part of the country,while the northern feldspar town was also a highly densely populated area.Among the four topographic factors,elevation,slope and surface relief had obvious influence on the spatial distribution of residential areas in Dafang county,but the influence of slope aspect was not obvious.
作者
胡永胜
任金铜
钟磊
HU Yong-sheng;REN Jin-tong;ZHONG Lei(Guizhou University of Engineering Science,Bijie,Guizhou551700,China;Guizhou Province Key Laboratory of Ecological Protection and Restoration of Typical Plateau Wetlands,Bijie,Guizhou 551700,China)
出处
《贵州工程应用技术学院学报》
2021年第3期146-151,共6页
Journal of Guizhou University Of Engineering Science
基金
国家级大学生创新创业训练计划项目“威宁黄杉自然保护区林冠状态遥感动态监测”,项目编号:202010668014
贵州省高等学校教学内容和课程体系改革项目“基于OBE-CDIO的地理信息技术课程体系构建及教学改革研究”,项目编号:2019156:贵州工程应用技术学院本科教学质量提升工程项目“一流课程《遥感概论》”,项目编号:2019KC005。
关键词
DEM
居民点
空间分布
核密度估计
CV值
DEM
Residential Area
Spatial Distribution
Kernel Density Estimation
Cv Value
