[1]付星基,尹晓媛,余建新,等.乌蒙山区建设用地密度空间分异特征及其影响因素[J].水土保持研究,2018,25(03):346-353.
　FU Xingji,YIN Xiaoyuan,YU Jianxin,et al.Spatial Variation Characteristics of Construction Land Density and Its Influencing Factors in Wumeng Mountain Area[J].Research of Soil and Water Conservation,2018,25(03):346-353.
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乌蒙山区建设用地密度空间分异特征及其影响因素

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年03期 页码: 346-353 栏目: 出版日期: 2018-04-10
Title:
Spatial Variation Characteristics of Construction Land Density and Its Influencing Factors in Wumeng Mountain Area
作者:
付星基1, 尹晓媛1, 余建新1,2, 王猛3, 陈镜宇1, 孙高峰1, 李建华1,2
1. 云南农业大学 水利学院, 昆明 650201;
2. 云南农业大学 国土资源科学技术工程研究中心, 昆明 650201;
3. 云南农业大学 资源与环境学院, 昆明 650201
Author(s):
FU Xingji1, YIN Xiaoyuan1, YU Jianxin1,2, WANG Meng3, CHEN Jingyu1, SUN Gaofeng1, LI Jianhua1,2
1. College of Water Conservancy, Yunnan Agricultural University, Kunming 650210, China;
2. Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 650210, China;
3. College of Resources and Environment;Yunnan Agricultural University, Kunming 650210, China
关键词:
乌蒙山区; 建设用地; 空间自相关
Keywords:
Wumeng Mountain Region; construction land; spatial autocorrelation analysis
分类号:
F301.24
摘要:
为了研究乌蒙山区建设用地密度空间分异特征及其影响因素，首先以2015年Landsat-8影像作为遥感数据来源提取乌蒙山区建设用地信息，以建设用地密度为观测值，采用GeoDa软件对乌蒙山区建设用地分布进行自相关性分析，研究了乌蒙山区建设用地在空间上的分异特征以及局部聚集（孤立）和局部异常；后分别基于SRTMDEM 90 m分辨率原始高程数据和云南省、贵州省和四川省2015年统计年鉴等资料提取了海拔、坡度、地形起伏度、地表粗糙度4种自然因素与经济和人口等社会经济因素，并进一步对建设用地高密度聚集HH区面积大小划分出的5种县域进行了统计分析。结果显示：（1） 乌蒙山区建设用地的空间分布呈空间正相关性，其自相关强度随着阈值距离的增加而减弱。（2） 乌蒙山区建设用地密度空间分异特征在空间上有明显的差异性。（3） 乌蒙山区建设用地密度分布受坡度、地形起伏度和地表粗糙度等自然因素和GDP、人口密度和三大产业占比等社会经济因素的影响。
Abstract:
The paper aimed to study the spatial variation characteristics of construction land density and its influencing factors. Firstly, Extracted information of Construction land from Landsat-8 images of 2015 remote sensing data, Taking the density of construction land as the observation value to analyze the Global Spatial Autocorrelation of the construction of Wumeng Mountain Land in different scales, The Global Spatial Autocorrelation analysis reveal that construction Wumeng Mountain Land with spatial autocorrelation. The local spatial autocorrelation analysis reveals the local aggregation and local anomaly of the construction land. Secondly, Based on SRTMDEM 90 m resolution Original elevation data, Landsat China inland water information products and Statistical Yearbook of 2015 in Yunnan Province, Guizhou Province and Sichuan Province extract elevation, slope, topographic relief, surface and roughness 4 natural factors and economy, population and other socio-economi factors. then statistical analysis was made on five grades counties at 0.05 significant level. The results indicated that:(1) spatial autocorrelation degree of the distribution of Wumeng Mountain construction land reduced as the increasing of the threshold value;(2) spatial differentiation characteristics of distribution of Wumeng Mountain construction land was obvious difference in space;(3) the distribution of Wumeng Mountain construction land affected by slope, topographic relief, surface and roughness of natural factors and GDP, population density and three major industries of socio-economic factors.

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备注/Memo

收稿日期:2017-05-31;改回日期:2017-06-21。
基金项目:国土资源部公益性行业科研专项经费“乌蒙山区立体特征分异下的土地利用分区及综合评价”（201511003-1）
作者简介:付星基(1990-),男,河北邢台人,在读硕士研究生,主要从事土地资源可持续利用方面研究。E-mail:291817178@qq.com
通讯作者:李建华(1980-),男,湖南娄底人,博士,讲师,主要从事土地利用与整治研究。E-mail:wenniforever@126.com

更新日期/Last Update: 1900-01-01