地理研究 ›› 2012, Vol. 31 ›› Issue (11): 1961-1972.doi: 10.11821/yj2012110004

• 土地资源与利用 • 上一篇    下一篇

空间尺度上推方法的精度评价——以内蒙古锡林郭勒盟土地利用数据为例

胡云锋1, 徐芝英1,2, 刘越1,2, 艳燕1, 王倩倩1,3   

  1. 1. 中国科学院地理科学与资源研究所, 北京100101;
    2. 中国科学院大学, 北京100049;
    3. 辽宁工程技术大学测绘与地理科学学院, 辽宁阜新123000
  • 收稿日期:2011-11-12 修回日期:2012-05-13 出版日期:2012-11-10 发布日期:2012-11-10
  • 作者简介:作者简介:胡云锋(1974-),男,江西赣州人,博士,副研究员,主要从事资源环境遥感与地理信息技术应用研究。E-mail:huyf@lreis.ac.cn
  • 基金资助:

    科技部973计划资助项目(2010CB950904);国家自然科学基金资助项目(40971223);国家科技支撑计划资助项目(2008BAH31B04)

Accuracy analysis of up-scaling data: A case study with land use data in Xilin Gol of Inner Mongolia,China

HU Yun-feng1, XU Zhi-ying1,2, LIU Yue1,2, YAN Yan1, WANG Qian-qian1,3   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Department of Geodesy and Geographic Sciences, Liaoning Technical University, Fuxin 123000, Liaoning, China
  • Received:2011-11-12 Revised:2012-05-13 Online:2012-11-10 Published:2012-11-10

摘要: 不同的空间尺度上推方法会导致不同程度的信息丢失、信息歪曲等后果;但目前少有研究在较长的尺度序列上、对不同尺度上推方法所得成果开展精度分析。本研究首先提出尺度上推方法精度评价的三个准则,即:保持土地类型构成特征、保持土地面积精度、保持土地空间分布格局和斑块形态;继而使用格点中心值、最大面积斑块、最大聚合面积斑块等3种尺度上推方法,配合100 m~50 km土地利用数据开展尺度转化实验;最后基于上述评价准则和尺度上推实验所得的系列输出结果,分析了不同尺度上推方法的精度。研究表明:(1)格点中心值上推方法能更好地保留区域土地类型构成、土地面积精度等特征;(2)锡林郭勒盟地区土地研究的适宜尺度应小于10 km,最大不应超过30 km;(3)在尺度上推过程中,土地斑块的平均面积、形态以及空间分布格局对尺度上推成果精度有着重要影响。

关键词: 空间尺度, 尺度转换, 精度, 信息熵, 分维, 土地类型

Abstract: Different up-scaling methods induce information loss, misrepresentation, and other accuracy reduction effects in varying degrees.Up-scaling is fundamentally important to the researches relevant with the land science, ecological and climatic modeling, but few systematic specifications are available to evaluate the quality of up-scaling data.Thus, in this study we firstly put forward three rules on evaluating the accuracy of resulting data: (1) maintaining the landscape composition;(2) preserving the land area accuracy;and (3) keeping the spatial distribution patterns.Based on the three criteria and the following six indices, suitable models were developed.The land-use data with a map scale of 1:100, 000 for Xilin Gol of Inner Mongolia was used in this study, with three common UP-scaling methods applied, i.e. Cell-Center method, Maximum-Area method, and Maximum-Combined-Area method embedded in the GIS toolbox.In the procedure, based on these three methods, the original vector data was rasterized and converted to different scales, ranging from 100 m to 50 km.Then these maps were compared according to the evaluating models, and the results were drawn as follows:(1) the Cell-Center method preserved the landscape composition better than the other two up-scaling methods, as well as the land area accuracy;(2) the appropriate scale for Xilin Gol region was less than 10, 000 m, and the permittedly maximum scale should not exceed 30 km;(3) during the scalingup process, the average patch area, patch shape, and spatial distribution patterns have important effects on the output accuracy.

Key words: spatial scale, scaling, accuracy assessment, information entropy, fractal dimension, land type