A partial least-squares regression approach to land use studies in the Suzhou-Wuxi-Changzhou region
文献类型：SCI/SSCI论文
| 作者 | Zhang Y.; Zhang Y. |
| 发表日期 | 2007 |
| 关键词 | land use multivariate data analysis partial least-squares regression Suzhou-Wuxi-Changzhou region multicollinearity china |
| 英文摘要 | In several LUCC studies, statistical methods are being used to analyze land use data. A problem using conventional statistical methods in land use analysis is that these methods assume the data to be statistically independent. But in fact, they have the tendency to be dependent, a phenomenon known as multicollinearity, especially in the cases of few observations. In this paper, a Partial Least-Squares (PLS) regression approach is developed to study relationships between land use and its influencing factors through a case study of the Suzhou-Wuxi-Changzhou region in China. Multicollinearity exists in the dataset and the number of variables is high compared to the number of observations. Four PLS factors are selected through a preliminary analysis. The correlation analyses between land use and influencing factors demonstrate the land use character of rural industrialization and urbanization in the Suzhou-Wuxi-Changzhou region, meanwhile illustrate that the first PLS factor has enough ability to best describe land use patterns quantitatively, and most of the statistical relations derived from it accord with the fact. By the decreasing capacity of the PLS factors, the reliability of model outcome decreases correspondingly. |
| 出处 | Journal of Geographical Sciences |
| 卷 | 17 |
| 期 | 2 |
| 页 | 234-244 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1009-637X |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22337]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zhang Y.,Zhang Y.. A partial least-squares regression approach to land use studies in the Suzhou-Wuxi-Changzhou region. 2007. |
入库方式： OAI收割
来源：地理科学与资源研究所
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