地理科学进展

地理科学进展 ›› 2010, Vol. 29 ›› Issue (2): 179-185.doi: 10.11820/dlkxjz.2010.02.008

• 水土与地表过程 • 上一篇    下一篇

基于栅格面积成分数据的土地利用格局解释模型稳健估计

邓祥征1|林英志1|战金艳2|何书金1   

  1. 1. 中国科学院地理科学与资源研究所|北京 100101； 2. 北京师范大学环境学院水环境模拟国家重点实验室|北京 100875
  • 出版日期:2010-02-25 发布日期:2010-02-25
  • 作者简介:邓祥征(1971-)|男|博士|副研究员|主要从事区域环境变化、土地系统变化及效应研究。 E-mail: dengxz.ccap@igsnrr.ac.cn
  • 基金资助:

    国家自然科学基金项目(70873118、70821140353)、国家科技支撑项目(2006BAC08B03、2006BAC08B06、2008BAK47B02)

Robust Estimation for the Determinant Model of Land use Pattern Based on the Area Percentage Dataset of Land Uses

DENG Xiangzheng1, LIN Yingzhi1, ZHAN Jinyan2, HE Shujin1   

  1. 1. Institute of Geographic Sciences and National Resources Research, CAS, Beijing 100101, China;
    2. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
  • Online:2010-02-25 Published:2010-02-25

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被引次数

13 | 3

摘要：

针对最小二乘估计不能应用于栅格尺度以面积成分表征的土地利用格局驱动机理分析的难题，本文提出了一种利用偏最小二乘回归法稳健估计该类土地利用格局解释模型的方法。利用该方法能在解释变量间存在多重共线性的情况下，获得基于栅格面积成分数据的土地利用格局解释模型的稳健估计。本文推导了应用偏最小二乘回归分析的数据处理和建模估计过程，并运用该方法开展了针对黄淮海地区耕地、建设用地分布格局及其驱动因子的建模分析，得到了拟合优度高的估计结果。研究表明，偏最小二乘回归分析方法在开展栅格尺度以面积成分表征的土地利用格局驱动机理分析时具备高效与稳健的特征，适宜在类似研究中推广应用。

关键词: 栅格成分数据；偏最小二乘回归；土地利用格局；驱动力；黄淮海地区

Abstract:

Given that the ordinary least square estimate is not adaptable to analyzing the driving mechanism of land use pattern represented by the area percentage data, this paper develops an estimation approach according to the partial least squares regression algorithm capable of analyzing the driving mechanism of land use pattern identified at the pixel specific resolution. The approach can be used to obtain the robust estimates for the determinant model of land use pattern and guarantee that the sum of predicted area of all kinds of land use categories equals the total land area of each grid pixel in addition to deducting the estimation bias resulting from the multi-collinearities between explanatory variables. This paper elaborately deduces the estimation algorithm for the explanatory model for the land use pattern according to the partial least-squares regression algorithm and based on the area percentage data. By using this kind of estimation approach, this paper analyzes the driving mechanism of land use pattern for cultivated land, built-up area and other kinds of land and obtains the estimates with high goodness of fit in Huang-Huai-Hai Plain of China. The research result shows that the partial least squares regression analysis can be used to estimate the driving mechanism of land use pattern represented by the area percentage data. The estimation approach proven applicable in this study is with unbiased, efficient and robust characteristics and worthy of being promoted to use in relevant case studies.

Key words: area percentage data, Huang-Huai-Hai Plain, land use pattern; driving mechanism, partial least squares regression analysis