STGAT-VCA: vector cellular automata model integrated with graph attention network and gated recurrent unit for urban land use change simulation
文献类型：期刊论文
| 作者 | He, Zhanjun1,5,6; Yang, Yaokun1; Lin, Xiaoling6; Gong, Yuejian4; Liu, Cheng2,3; Wu, Liang1,5; Tao, Liufeng1,5 |
| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
 |
| 出版日期 | 2026-02-20 |
| 卷号 | N/A |
| 关键词 | Vector cellular automata Land use change simulation Spatiotemporal coupling effect |
| ISSN号 | 1365-8816 |
| DOI | 10.1080/13658816.2026.2632331 |
| 产权排序 | 6 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Vector cellular automata (VCA) have been widely used in urban land use change (LUC) simulation because of their ability to represent irregular spatial units. However, conventional VCA models cannot simultaneously address the following two issues: (1) inability to quantify heterogeneous spatial interaction among irregular units and (2) failure to model long-term temporal dependencies. To address this limitation, this study proposes a novel spatiotemporal graph attention-based vector cellular automata (STGAT-VCA) model, which integrates graph attention networks (GATs) and gated recurrent units (GRUs). The model employs GAT's attention mechanism to capture heterogeneous spatial interaction adaptively among neighboring units while leveraging GRU's sequential modeling capability to learn temporal dependencies in parcel evolution. The integration of GAT and GRU enables a comprehensive modeling of spatiotemporal coupling effects and LUC's spatiotemporal dynamics. Experimental validation in Jacksonville, Florida in USA demonstrates that STGAT-VCA remarkably outperforms other comparative models across four key evaluation metrics. Results reveal that by explicitly accounting for spatiotemporal coupling effects, STGAT-VCA achieves superior performance in reconstructing LUC dynamics. |
| URL标识 | 查看原文 |
| WOS关键词 | CHINA ; URBANIZATION ; NEIGHBORHOOD ; REGRESSION ; SCENARIOS ; EXPANSION ; IMPACT ; COVER |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001698500300001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221233]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Lin, Xiaoling |
| 作者单位 | 1.China Univ Geosci, Sch Comp Sci, Wuhan, Peoples R China; 2.State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.China Univ Geosci, Sch Publ Adm, Wuhan, Peoples R China; 4.Wuhan Zondy Cyber Technol Co Ltd, Wuhan, Peoples R China; 5.Minist Educ, Engn Res Ctr Nat Resource Informat Management & Di, Wuhan, Peoples R China; 6.Hunan Geospatial Informat Engn & Technol Res Ctr, Surveying & Mapping Inst Hunan Prov 3, Changsha, Peoples R China; |
| 推荐引用方式 GB/T 7714 | He, Zhanjun,Yang, Yaokun,Lin, Xiaoling,et al. STGAT-VCA: vector cellular automata model integrated with graph attention network and gated recurrent unit for urban land use change simulation[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2026,N/A. |
| APA | He, Zhanjun.,Yang, Yaokun.,Lin, Xiaoling.,Gong, Yuejian.,Liu, Cheng.,...&Tao, Liufeng.(2026).STGAT-VCA: vector cellular automata model integrated with graph attention network and gated recurrent unit for urban land use change simulation.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,N/A. |
| MLA | He, Zhanjun,et al."STGAT-VCA: vector cellular automata model integrated with graph attention network and gated recurrent unit for urban land use change simulation".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE N/A(2026). |
入库方式： OAI收割
来源：地理科学与资源研究所
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