PDF Download

[1]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.

Copy

Spatial Variation Characteristics of Construction Land Density and Its Influencing Factors in Wumeng Mountain Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 03 Page number: 346-353 Column: Public date: 2018-04-10

Title:: Spatial Variation Characteristics of Construction Land Density and Its Influencing Factors in Wumeng Mountain Area

Author(s):: FU Xingji¹, YIN Xiaoyuan¹, YU Jianxin^1,2, WANG Meng³, CHEN Jingyu¹, SUN Gaofeng¹, LI Jianhua^1,2; 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

Keywords:: Wumeng Mountain Region; construction land; spatial autocorrelation analysis

CLC:: F301.24

DOI:: -

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.

References:: [1] 韦素琼,张金前,陈健飞.基于空间自相关的闽台城镇建设用地分布研究[J].地理科学进展,2007,26(3):11-17.
[2] 谷建立,张海涛,陈家赢,等.基于DEM的县域土地利用空间自相关格局分析[J].农业工程学报,2012,28(23):216-224.
[3] 焦利民,刘耀林,刘艳芳,等.区域城镇基准地价水平的空间自相关格局分析[J].武汉大学学报:信息科学版,2009,34(7):873-877.
[4] 谢保鹏,陈英,白志远,等.甘肃省县区单元城镇工矿用地与二三产业耦合状态的时空变化研究[J].干旱区资源与环境,2013,27(9):18-25.
[5] 唐华俊,吴文斌,杨鹏,等.土地利用/土地覆被变化(LUCC)模型研究进展[J].地理学报,2009,64(4):456-468.
[6] 梁进社,王旻.城市用地与人口的异速增长和相关经验研究[J].地理学报,2002,57(6):649-654.
[7] Li L, Sato Y, Zhu H. Simulating spatial urban expansion based on a physical process[J]. Landscape and Urban Planning, 2003,64(1):67-76.
[8] 谈明洪,李秀彬,吕昌河.我国城市用地扩张的驱动力分析[J].经济地理,2003(5):635-639.
[9] Deng X, Huang J, Rozelle S, et al. Economic growth and the expansion of urban land in China[J]. Urban Studies, 2010,47(4):813-843.
[10] 杨鑫.浅谈遥感图像监督分类与非监督分类[J].四川地质学报,2008,28(3):251-254.
[11] 林锦耀,黎夏.基于空间自相关的东莞市主体功能区划分[J].地理研究,2014(2):349-357.
[12] Getis A, Ord J K. The analysis of spatial association by use of distance statistics[J]. Geographical Analysis, 1992,24(3):189-206.
[13] 孟斌,王劲峰,张文忠,等.基于空间分析方法的中国区域差异研究[J].地理科学,2005,60(4):11-18.
[14] 陈志明.论中国地貌图的研制原则、内容与方法:以1:4000000全国地貌图为例[J].地理学报,1993,48(2):105-113.

Similar References:

Memo

Last Update: 1900-01-01