Intelligent determination of proper spatial extents for input data during geographical model workflow building
文献类型：期刊论文
| 作者 | Chen, Zi-Yue5,6; Qin, Cheng-Zhi3,4,5,6; Zhu, Liang-Jun5,6; Wu, Cheng-Long5,6; Ren, Ying-Chao2,5; Zhu, A. -Xing1 |
| 刊名 | ENVIRONMENTAL MODELLING & SOFTWARE
 |
| 出版日期 | 2025-04-01 |
| 卷号 | 187页码:106369 |
| 关键词 | Intelligent geographical modeling Input data preparation Spatial extent Geographical model workflow Geoprocessing |
| ISSN号 | 1364-8152 |
| DOI | 10.1016/j.envsoft.2025.106369 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The spatial extent required for geographical model inputs depends on the model and input data characteristics, often differing from the user-defined area of interest (AOI). For example, a DEM input for stream network extraction should cover the upstream catchment area of the AOI. Determining proper spatial extents is crucial for both modeling accuracy and efficiency but is often complex and tedious , especially for workflows which may raise chain effect on varying spatial extents among diverse inputs. Few methods currently address this issue. This paper proposes an intelligent approach to automate spatial extent determination during geographical model workflow building, adapting to the user-defined AOI. The approach combines knowledge rules and heuristic modeling with advanced geoprocessing. Implemented in a prototype system, a case study on digital soil mapping for arbitrary-shaped AOI was conducted to validate the effectiveness of the approach, showing that it provides users with easy-to-use and accurate geographical modeling across broad applications. |
| URL标识 | 查看原文 |
| WOS关键词 | GIS |
| WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001430631300001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213321]  |
| 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 | Qin, Cheng-Zhi |
| 作者单位 | 1.Univ Wisconsin, Dept Geog, Madison, WI USA 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China; 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China; 4.Shaanxi Normal Univ, Sch Geog & Tourism, Xian, Peoples R China; 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Zi-Yue,Qin, Cheng-Zhi,Zhu, Liang-Jun,et al. Intelligent determination of proper spatial extents for input data during geographical model workflow building[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2025,187:106369. |
| APA | Chen, Zi-Yue,Qin, Cheng-Zhi,Zhu, Liang-Jun,Wu, Cheng-Long,Ren, Ying-Chao,&Zhu, A. -Xing.(2025).Intelligent determination of proper spatial extents for input data during geographical model workflow building.ENVIRONMENTAL MODELLING & SOFTWARE,187,106369. |
| MLA | Chen, Zi-Yue,et al."Intelligent determination of proper spatial extents for input data during geographical model workflow building".ENVIRONMENTAL MODELLING & SOFTWARE 187(2025):106369. |
入库方式： OAI收割
来源：地理科学与资源研究所
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