[1]ZHU Jingjing,SHI Xueyi.Analysis of Spatial Autocorrelation Patterns of Land Use and Influence Factors in Loess Hilly Region——A Case Study of Changhe Basin of Jincheng City[J].Research of Soil and Water Conservation,2018,25(05):234-241.
Copy
Analysis of Spatial Autocorrelation Patterns of Land Use and Influence Factors in Loess Hilly Region——A Case Study of Changhe Basin of Jincheng City
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 05
Page number:
234-241
Column:
Public date:
2018-09-06
- Title:
- Analysis of Spatial Autocorrelation Patterns of Land Use and Influence Factors in Loess Hilly Region——A Case Study of Changhe Basin of Jincheng City
- CLC:
- F301.2;P967
- DOI:
- -
- Abstract:
- In order to reveal the coupling relationship between the spatial autocorrelation of land use and the natural and human factors in loess hilly and mountainous regions, we carried out a case study on Changhe Basin of Jincheng City, and analyzed the land use of the basin and the local spatial autocorrelation pattern, and used GIS and gray system correlation analysis software to quantify the correlation and relation of various types of land and elevation, slope, aspect, effective soil thickness, distance to water area, population density, road network density, distance from residential areas. The results show that:when the weight is 0.5 km, the land use types in the basin show the characteristics of spatial aggregation as a whole spatial autocorrelation; the positive spatial autocorrelation decreases gradually with the increase of the distance; the distribution of cultivated land and grassland show the significant trend of H-H and L-L accumulation; the spatial distribution of forestland, water area and construction land show the significant trend of H-H accumulation. The relationship between the proportion of arable land in each grid and the thickness factor of effective soil layer is the highest. The relationship between the proportion of forestland and the residential area distance factor is the highest. The correlation between the proportion of grassland in each grid and the distance factor of water system is the highest. The highest correlation was found between the proportions of the grid waters and the distance factors from the settlements. The correlation between the proportion of the construction land for each grid and the population density factor is the highest.
- References:
-
[1] 高凯,周志翔,杨玉萍.长江流域土地利用结构及其空间自相关分析[J].长江流域资源与环境,2010,19(S1):13-20.
[2] Cliff A D, Ord J K. Spatial autocorrelation[M]. London:Pion, 1973.
[3] Overmars K P, de Koning G H J, Veldkamp A. Spatial autocorrelation in multi-scale land use models[J]. Ecological Modelling, 2003,164(2/3):257-270.
[4] 段增强,张凤荣,苗利梅.基于邻域因子的土地利用空间格局分析:以北京市海淀区为例[J].农业工程学报,2006(6):71-76,234.
[5] 邱炳文,王钦敏,陈崇成,等.福建省土地利用多尺度空间自相关分析[J].自然资源学报,2007(2):311-321.
[6] 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(3):11-17,127.
[7] 焦利民,刘耀林,刘艳芳.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.
[8] 谢正峰,王倩.广州市土地利用程度的空间自相关分析[J].热带地理,2009,29(2):129-133.
[9] 王千,金晓斌,周寅康.河北省耕地生态安全及空间聚集格局[J].农业工程学报,2011,27(8):338-344.
[10] 卞鸿雁,任志远.关中-天水地区土地承载力空间自相关研究[J].宁夏师范学院学报,2011,32(3):56-59.
[11] 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.
[12] 宋文,陈英.土地利用空间自相关分析中观测变量和衡量指标的选择研究[J].干旱区资源与环境,2015,29(10):37-42.
[13] 付金霞,郑粉莉,李媛媛.小理河流域土地利用空间自相关格局与影响因素分析[J].农业机械学报,2017,48(1):128-138.
[14] 谢圣.湖北省土地利用景观格局及其影响因素分析[D].武汉:华中师范大学,2013.
[15] 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,2005,25(4):393-400.
[16] Anselin L, Syabri I, Kho Y. GeoDa:an introduction to spatial data analysis[J]. Geographical Analysis, 2006,38(1):5-22.
[17] Anselin L. Local indicators of spatial association:LISA[J]. Geographical Analysis, 1995,27(2):93-115.
- Similar References:
Memo
-
Last Update:
1900-01-01