Length L-function for network-constrained point data
文献类型：期刊论文
| 作者 | Fang, Zidong3; Song, Ci3; Shu, Hua3; Chen, Jie3; Liu, Tianyu3; Wang, Xi3; Chen, Xiao3; Yan, Xiaorui3; Pei, Tao2,3 |
| 刊名 | TRANSACTIONS IN GIS
 |
| 出版日期 | 2023-04-01 |
| 卷号 | N/A |
| ISSN号 | 1467-9671 |
| DOI | 10.1111/tgis.13035 |
| 文献子类 | Article; Early Access |
| 英文摘要 | Network-constrained points are constrained by and distributed on road networks, for example, taxi pick-up and drop-off locations. The aggregation pattern (clustering) of network-constrained points (significantly denser than randomly distributed) along roads may indicate spatial anomalies. For example, detecting and quantifying the aggregation with the highest intensity (i.e., the number of taxi pick-up points per network length) can reveal high taxi demand. The network K-function and its derivative (incremental network K-function) have been utilized to identify point aggregations and measure aggregation scale, yet can only identify radius-based planar-scale results, thereby mis-estimating aggregation patterns owing to the network topology configuration heterogeneity. Specifically, complex road networks (e.g., intersections) may incur aggregations despite their low intensity. This study constructs the length L-function for network-constrained points, using its first derivative to quantify the true-to-life aggregation scale and the local function to extract aggregations. Synthetic and practical data experiments show innovative detection of aggregations at the length-based scale and with high intensity, providing a new approach to point pattern analysis of networks unaffected by topological complexity. |
| WOS关键词 | KERNEL DENSITY-ESTIMATION ; K-FUNCTION ; 2ND-ORDER ANALYSIS ; SPATIAL-ANALYSIS ; CLUSTERS ; EVENTS ; DOMAIN |
| WOS研究方向 | Geography |
| 出版者 | WILEY |
| WOS记录号 | WOS:000943767900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190245]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Zidong,Song, Ci,Shu, Hua,et al. Length L-function for network-constrained point data[J]. TRANSACTIONS IN GIS,2023,N/A. |
| APA | Fang, Zidong.,Song, Ci.,Shu, Hua.,Chen, Jie.,Liu, Tianyu.,...&Pei, Tao.(2023).Length L-function for network-constrained point data.TRANSACTIONS IN GIS,N/A. |
| MLA | Fang, Zidong,et al."Length L-function for network-constrained point data".TRANSACTIONS IN GIS N/A(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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