自然资源学报

自然资源学报 ›› 2004, Vol. 19 ›› Issue (6): 804-810.doi: 10.11849/zrzyxb.2004.06.016

• 研究方法与技术 • 上一篇    下一篇

偏最小二乘回归方法在土地利用结构研究中的应用

张旸1,2, 周成虎1, 戴锦芳3, 马荣华3   

  1. 1. 中国科学院地理科学与资源研究所,北京100101;
    2. 中国科学院南京地理与湖泊研究所,江苏南京210008;
    3. 中国科学院研究生院,北京100039
  • 收稿日期:2004-04-14 修回日期:2004-06-23 出版日期:2004-12-25 发布日期:2004-12-25
  • 作者简介:张旸(1975～），男，汉族，安徽合肥人，助理研究员，博士研究生，研究方向为遥感与地理信息系统应 用。E-mail: zhangyang2907@163.com
  • 基金资助:

    国家自然科学基金(40225004、40301038);中科院知识创新领域前沿项目(CXNIGLAS-A02-014)

An application of partial least-squares regression method to the study of land use patterns

ZHANG Yang1,2, ZHOU Chenghu1, DAI Jinfang3, MA Ronghua3   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101,China;
    2. Graduate School, CAS, Beijing 100039, China;
    3. Nanjing Institute of Geography & Limnology, CAS, Nanjing 210008, China
  • Received:2004-04-14 Revised:2004-06-23 Online:2004-12-25 Published:2004-12-25

PDF (PC)

赞

被引次数

79 | 5

摘要： 针对当前LUCC研究中存在的数据间多重相关性和样本量不足的问题,论文将一种新型的多元统计数据分析方法———偏最小二乘回归引入到研究中。该方法可以有效地克服上述缺陷,并能实现多种数据分析方法的综合应用。为检验方法的功能及实用性,论文以苏锡常地区为例,对区域的土地利用结构及其影响因子进行了定量分析。结果表明,偏最小二乘回归是进行土地利用结构研究的一种十分有效的工具,在地学领域有广阔的应用前景。

关键词: 土地利用, 多元统计分析, 偏最小二乘回归, 苏锡常地区

Abstract: Land use is the linkage between human and nature.It is subject to natural environment and is seriously influenced by social and economic activities.So the study on land use patterns and their influential factors has become indispensable in LUCC research.Heavy interaction of research data and inadequate observation samples are the key problems to this study.Thus it is very important to optimize the research methods. Partial Least Squares (PLS) regression is a novel multivariate data analysis method developed from practical applications in real world.It is mainly used to model linear regression between multi dependent variables and multi independent variables.PLS regression has many advantages, which traditional methods do not have,such as avoiding the harmful effects in modeling due to the multicollinearity and regressing when the number of observations is less than the number of variables,etc.Moreover,it can combine the basic functions of regressing model,principal compo nents analysis (PCA) and canonical correlation analysis.Therefore,PLS regression is a optimized tool to LUCC research. In this paper,PLS regression is applied to study the relationship between land use patterns and their influential factors,taking Suxichang region as a case study.Supported by SAS/STAT statistical software,the PLS regression model was built and the calculated results were meticulously analyzed.Though the accuracy analysis of PLS factors,the most important PLS factors were selected,used in studying the relationship between each type of land use pattern and its influential factors.In addition,a predict model about land use pattern change was produced and analyzed. This case study confirmed the practicability and operability of the PLS regression method.It showed that PLS regression has the ability to make quantitive research on land use patterns,and could be widely applied to geographical research.

Key words: land use, multivariate data analysis, Partial Least Squares Regression, Su Xi Chang region