A kriging interpolation model for geographical flows
文献类型：期刊论文
| 作者 | Fang, Ya1,2; Pei, Tao1,2,3; Song, Ci1,2; Chen, Jie2; Wang, Xi1,2; Chen, Xiao1,2; Liu, Yaxi1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
 |
| 出版日期 | 2023-08-22 |
| 页码 | 25 |
| 关键词 | Flow space flow kriging interpolation method origin-destination (OD) flow second-order stationarity travel time uncertainty |
| ISSN号 | 1365-8816 |
| DOI | 10.1080/13658816.2023.2248502 |
| 通讯作者 | Song, Ci(songc@lreis.ac.cn) |
| 英文摘要 | The kriging model can accommodate various spatial supports and has been extensively applied in hydrology, meteorology, soil science, and other domains. With the expansion of applications, it is essential to extend the kriging model for new spatial support of high-dimensional data. Geographical flows can depict the movements of geographical objects and imply the underlying mobility patterns in geographical phenomena. However, due to the bias, sparsity, and uneven quality of flow data in the real world, research about flows remains hindered by the lack of complete flow data and effective flow interpolation methods. In this study, we design a kriging interpolation model for flows based on several flow-related concepts and the autocorrelation of flows. We also analyze the second-order stationarity and anisotropy in the flow spatial random field. To illustrate the effectiveness and applicability of our method, we conduct two case studies. The former case study compares several experiments of flow density interpolation using Beijing mobile signaling data and illustrates the conditions of applicable areas. The latter case study extends our model to other flow attributes, such as travel time uncertainty, using Beijing taxi origin-destination flow data. The results of these cases demonstrate the effectiveness and high accuracy of our model. |
| WOS关键词 | NETWORK AUTOCORRELATION ; MIGRATION ; PREDICTION ; MOBILITY |
| 资助项目 | The authors thank the editor and the anonymous reviewers for their helpful comments on an earlier draft of this paper. |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001053490300001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | The authors thank the editor and the anonymous reviewers for their helpful comments on an earlier draft of this paper. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196494]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Ci |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Ya,Pei, Tao,Song, Ci,et al. A kriging interpolation model for geographical flows[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2023:25. |
| APA | Fang, Ya.,Pei, Tao.,Song, Ci.,Chen, Jie.,Wang, Xi.,...&Liu, Yaxi.(2023).A kriging interpolation model for geographical flows.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,25. |
| MLA | Fang, Ya,et al."A kriging interpolation model for geographical flows".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2023):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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