Study on the Appropriate Scale of Geo-spatial Data

  • Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2002-04-08

  Revised date: 2002-08-15

  Online published: 2002-12-25

Supported by

Foundation Item: Knowledge Innovation Project of Institute of Geographic Sciences and Natural Resources Research, CAS, No. K2CX2-308


As discussed by many researchers, geo-spatial data have scale characteristics on spatial, temporal and attribute field, and geo-spatial data at different scales were chosen for various applications to meet different needs in each application case. So the concept of appropriate scale of geo-spatial data was raised, that is to say, there should be one or more appropriate scales of data for special data application. Unfortunately, no precise formula of appropriate scale chosen for applications has been set up by geographical researchers up to now, and the appropriate scale was chosen by users based on their experiences. Based on those cases, the paper lists the judgment index for appropriate scale selection, and gives one formula of appropriate scale for the application of land management of Shandong Province, eastern China. In the study area, different scales of 1:100,000, 1:250,000, and 1:1,000,000 landuse datasets were chosen for the appropriate scale analysis. The total area of each kind of landuse type for all the three scale datasets is calculated and compared with total area number by field investigation, and the landuse patterns are also created by calculating distance between each land parcel geometrical center. The author finds out that 1:100,000 scale landuse dataset is more appropriate for landuse analysis and management for a region like Shandong Province with a total area of less then 160,000 km2.

Cite this article

LI Jun, ZHUANG Dafang . Study on the Appropriate Scale of Geo-spatial Data[J]. Acta Geographica Sinica, 2002 , 57(7s) : 52 -59 . DOI: 10.11821/xb20027s008


[1] Li Jun, Zhou Chenghu. Analysis on the characteristics of geo-spatial data. Scientia Geographica Sinica, 1999, 19(2): 158-162.
[李军, 周成虎. 地学数据特征分析. 地理科学, 1999, 19(2): 158-162.]

[2] Oxford University. The Compact Edition of the Oxford English Dictionary. Oxford: Oxford University Press, 1986. 2653-2654.

[3] Turner M G, R V O'Neill, R H Gardner et al. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecology, 1989, 3: 153-162.

[4] Wang Zhongxing, Liu Jinliang. Scale interaction of kinetic energy in the rainstorm systems. Journal of University of Science and Technology of China, 1994, 24(3): 365-367.
[汪钟兴, 刘金良. 暴雨系统不同尺度动能相互作用过程, 中国科学技术大学学报, 1994, 24(3): 365-367.]

[5] Wu Jun. Scale co-occurrence matrix for texture analysis using wavelet transform. Journal of Remote Sensing, 2001, 5(2): 100-103.
[吴均. 利用基于小波的尺度共生矩阵进行纹理分析. 遥感学报, 2001, 5(2): 100-103.]

[6] Montello D R, Golledge R. Scale and Detail in the Cognition of Geographic Information: Report of a Specialist Meeting Held under the Auspices of the Varenius Project. Santa Barbara, CA: National Centre for Geographical Information and Analysis, 1999.

[7] Zhu Shulong, Zhang Zhanmu. Capturing and Analysis on Images of Remote Sensing. Beijing: Science Press, 2000. 44-95.
[朱述龙, 张占睦. 遥感图象获取与分析. 北京: 科学出版社, 2000. 44-95.]

[8] LI Jun. Temporal and spatial distribution of landslides hazard in Hong Kong. Journal of Natural Disasters, 2000, 9(2): 166-173.
[李军. 香港地区滑坡灾害时空分布浅析. 自然灾害学报, 2000, 9(2): 166-173.]

[9] Li Jun, Zhou Chenghu. Appropriate grid size for terrain based landslide risk assessment in Lantau Island, Hong Kong. Journal of Remote Sensing (accepted).
[李军, 周成虎. 基于栅格GIS滑坡风险评价方法中格网大小选取分析. 遥感学报 (已接受).]

[10] Thomas J Wilbanks. Scale in Integrated Assessments: Global Change and Local Places.

[11] Jay Gao. Resolution and accuracy of terrain representation by grid DEMs at a micro-scale. Int. J. Geographical Information Science, 1997, 11(2): 199-212.

[12] Leila De Floriani, Paola Marzano, Enrico Puppo. Multiresolution modelling in geographical information systems. In: , David Parker, Taylor, Francis (eds.), Innovation in GIS 3, 1996. 9-19.

[13] Wu Chuanjun, Guo Huancheng. Land Use in China. Beijing: Science Press, 1994. 1-171.
[吴传钧, 郭焕成. 中国土地利用. 北京: 科学出版社, 1994. 1-171.]

[14] Riebsame W E, W J Parton, K A Galvin et al. Integrated modeling of land use and cover change. Bioscience, 1994, 44(5): 350-356.

[15] Shandong Statistical Yearbook 2001. Beijing: China Statistics Press, 2001. 4.
[山东省统计年鉴2001. 北京: 中国统计出版社, 2001. 4.]