A raster-based spatial clustering method with robustness to spatial outliers
文献类型：期刊论文
| 作者 | Wang, Haoyu3; Song, Changqing3; Wang, Jinfeng2; Gao, Peichao1,3 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2024-02-19 |
| 卷号 | 14期号:1页码:14 |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-024-53066-4 |
| 通讯作者 | Song, Changqing(songcq@bnu.edu.cn) |
| 英文摘要 | Spatial clustering is an essential method for the comprehensive understanding of a region. Spatial clustering divides all spatial units into different clusters. The attributes of each cluster of the spatial units are similar, and simultaneously, they are as continuous as spatially possible. In spatial clustering, the handling of spatial outliers is important. It is necessary to improve spatial integration so that each cluster is connected as much as possible, while protecting spatial outliers can help avoid the excessive masking of attribute differences This paper proposes a new spatial clustering method for raster data robust to spatial outliers. The method employs a sliding window to scan the entire region to determine spatial outliers. Additionally, a mechanism based on the range and standard deviation of the spatial units in each window is designed to judge whether the spatial integration should be further improved or the spatial outliers should be protected. To demonstrate the usefulness of the proposed method, we applied it in two case study areas, namely, Changping District and Pinggu District in Beijing. The results show that the proposed method can retain the spatial outliers while ensuring that the clusters are roughly contiguous. This method can be used as a simple but powerful and easy-to-interpret alternative to existing geographical spatial clustering methods. |
| WOS关键词 | REGIONALIZATION ; REGION |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | NATURE PORTFOLIO |
| WOS记录号 | WOS:001167137100030 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203168]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Changqing |
| 作者单位 | 1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Haoyu,Song, Changqing,Wang, Jinfeng,et al. A raster-based spatial clustering method with robustness to spatial outliers[J]. SCIENTIFIC REPORTS,2024,14(1):14. |
| APA | Wang, Haoyu,Song, Changqing,Wang, Jinfeng,&Gao, Peichao.(2024).A raster-based spatial clustering method with robustness to spatial outliers.SCIENTIFIC REPORTS,14(1),14. |
| MLA | Wang, Haoyu,et al."A raster-based spatial clustering method with robustness to spatial outliers".SCIENTIFIC REPORTS 14.1(2024):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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