Scaling Character of Spatial Structure of Land Use

  • 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101;
    2. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Science, Beijing 100081;
    3. College of Environment Sciences, Peking University, Beijing 100871

Received date: 2005-06-28

  Revised date: 2006-02-13

  Online published: 2007-01-20


In this paper,the fractal theory,multivariate regression analysis and grey relational analysis are applied to analyzing the spatial fractal character and its scale character of land use as a case study of Cixi City and Guizhou Province with scale of 1:100 000 and 1:1 000 000 respectively. The perimeter-area relationships of patches of different land types of Cixi City and Guizhou Province under different scales are established;the fractal dimensions of spatial structure of different scale regions of China are calculated.The fractal characters of land use structure in Cixi City and Guizhou Province are analysed,the relationships between fractal dimension of land spatial structure and patch number,average patch area and average patch shape index are established by multivariate regression analysis.It is indicated that patch number,average patch area and average patch shape index mainly influence the fractal dimension of spatial structure of land use,and the spatial fractal character of land use exists over scale.Based on the grey relational analysis,it is further found that patch number is the most important factor that influences the land fractal structure of Guizhou Province,and average patch shape index for Cixi City.Although the land spatial fractal structures of Cixi City and Guizhou Province are mainly influenced by the geometric characteristic of spatial pattern of land use.

Cite this article

ZHU Xiao-Hua, LI Jia-Lin, YANG Xiu-Chun, CAI Yun-Long . Scaling Character of Spatial Structure of Land Use[J]. SCIENTIA GEOGRAPHICA SINICA, 2007 , 27(1) : 58 -62 . DOI: 10.13249/j.cnki.sgs.2007.01.58


[1] 刘闯.全球变化研究国家策略分析[M].北京:测绘出版杜,2005.72~82.
[2] 陈述彭.地理科学的信息化与现代化[J].地理科学,2001,21(3):193~197.
[3] 刘湘南,许红梅,黄方.土地利用空间格局及其变化的图形信息特征分析[J].地理科学,2002,22(1):79~84.
[4] 陈彦光,刘继生.地理学的主要任务与研究方法[J].地理科学,2004,24(3):257-263.
[5] Fu B,Gulinck H,Masum M Z.Loess erosion in relation to landuse changes in the ganspoel catchment,Central Belgium[J].Land Degradation and Rehabilitation,1994,5(4):261-270.
[6] Bren L J.Aspects of the geometry of riparian buffer strips and its significance to forestry operations[J].Forest Ecology and Management,1995,75(1-3):1-10.
[7] Ruuska R,Helenius J.GIS analysis of change in all agriculal landscape in Central Finland[J].Agricultural and Food Science in Finland,1996,5(6):567-576.
[8] Milne B T,Cohen W B.Muhiseale assessment of binary and continuous landcover variables for MODIS validation,mapping,and modeling applications[J].Remote Sensing of Environment,1999,70(1):82-98.
[9] Jenerette G D,Wu J G.Analysis and simulation of land-use change in the central Arizona-Phoenix region,USA[J].Landscape Ecology,2001,16(7):611-626.
[10] Soares B S,Cerqueira G C,Pennaehin C L.DINAMICA-a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier[J].Ecological Modelling,2002,154(3):217-235.
[11] Burnett C,Blaschke T A.Multi-scale segmentation/object relationship modelling methodology for landscape analysis[J].Ecological Modelling,2003,168(3):233-249.
[12] 邬建国.景观生态学[M].北京:高等教育出版社,2002.100~103.
[13] Mandelbrot B B,Passoja D E,Paullay A J.Fractal character of fracture surfaces of metals[J].Nature,1984,308():721-722.
[14] 朱晓华,蔡运龙.中国土地利用空间分形结构及其机制[J].地理科学,2005,25(6):671~677.
[15] 邓聚龙.灰色系统基本方法[M].武汉:华中理工大学出版社,1987.1~250.
[16] Lucas F J,Frans J M,Wel V D.Accuracy assessment of satellite derived land-cover data:a review[J].Photogrammetric Engineering and Remote sensing,1994,60(4):410-432.
[17] 吴传钧.1:1 000 000中国土地利用图[M].北京:科学出版社.1990.