| Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment | |
| Feng, Yongjiu1,2; Liu, Miaolong3; Chen, Lijun4,5; Liu, Yu1,2 | |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 2016-12-01 | |
| 卷号 | 5期号:12页码:16 |
| 关键词 | urban growth dynamic simulation cellular automata partial least squares (PLS) regression geographical information systems (GIS) accuracy analysis |
| ISSN号 | 2220-9964 |
| DOI | 10.3390/ijgi5120243 |
| 通讯作者 | Feng, Yongjiu(yjfeng@shou.edu.cn) |
| 英文摘要 | We developed a geographic cellular automata (CA) model based on partial least squares (PLS) regression (termed PLS-CA) to simulate dynamic urban growth in a geographical information systems (GIS) environment. The PLS method extends multiple linear regression models that are used to define the unique factors driving urban growth by eliminating multicollinearity among the candidate drivers. The key factors (the spatial variables) extracted are uncorrelated, resulting in effective transition rules for urban growth modeling. The PLS-CA model was applied to simulate the rapid urban growth of Songjiang District, an outer suburb in the Shanghai Municipality of China from 1992 to 2008. Among the three components acquired by PLS, the first two explained more than 95% of the total variance. The results showed that the PLS-CA simulated pattern of urban growth matched the observed pattern with an overall accuracy of 85.8%, as compared with 83.5% of a logistic-regression-based CA model for the same area. The PLS-CA model is readily applicable to simulations of urban growth in other rapidly urbanizing areas to generate realistic land use patterns and project future scenarios. |
| 收录类别 | SCI ; SSCI |
| WOS关键词 | LAND-USE CHANGE ; LOGISTIC-REGRESSION ; SAN-FRANCISCO ; MODEL ; OPTIMIZATION ; EXPANSION ; INTEGRATION ; SCENARIOS ; RULES ; CHINA |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| WOS类目 | Geography, Physical ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI AG |
| WOS记录号 | WOS:000392493200025 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/2557489 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Feng, Yongjiu |
| 作者单位 | 1.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China 2.Shanghai Ocean Univ, Key Lab Sustainable Exploitat Ocean Fisheries Res, Minist Educ, Shanghai 201306, Peoples R China 3.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China 4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China 5.Univ Queensland, Sch Geog Planning & Environm Management, Brisbane, Qld 4072, Australia |
| 推荐引用方式 GB/T 7714 | Feng, Yongjiu,Liu, Miaolong,Chen, Lijun,et al. Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2016,5(12):16. |
| APA | Feng, Yongjiu,Liu, Miaolong,Chen, Lijun,&Liu, Yu.(2016).Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,5(12),16. |
| MLA | Feng, Yongjiu,et al."Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 5.12(2016):16. |
| 个性服务 |
| 查看访问统计 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论