中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
L-function of geographical flows

文献类型：期刊论文

作者Shu, Hua1,3; Pei, Tao1,2,3; Song, Ci1,3; Chen, Xiao1,3; Guo, Sihui1,3; Liu, Yaxi1,3; Chen, Jie3; Wang, Xi1,3; Zhou, Chenghu3
刊名INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
出版日期2020-04-12
页码28
关键词Flow space aggregation scale Ripley's L-function origin-destination flow spatial statistics
ISSN号1365-8816
DOI10.1080/13658816.2020.1749277
通讯作者Pei, Tao(peit@lreis.ac.cn)
英文摘要Geographical flow (hereafter flow) can be modeled as an orderly connected point pair composed of an origin (O) and a destination (D). Aggregation is the most common form of spatial heterogeneity of flows, which we define as their deviation from complete spatial randomness (CSR), and the aggregation scale is an important indicator for its perception. Nevertheless, quantifying the aggregation scale of flows is still an unsolved problem. In this paper, we propose the L-function for flows as a solution, derive theoretical null models of the K-function and L-function in a flow space. We conduct simulation experiments to validate the L-function and its capability to detect aggregation scales. Finally, we apply the solution in a case study with taxi data in Beijing and identify nine aggregation scales of taxi OD flows, ranging from 170 m to 22.1 km. These scales correspond to three classes: less than 300 m, from 600 m to 700 m and more than 1500 m. The classes are related to the sizes of the urban facilities where the dominant flow clusters occur, indicating that the L-function in flow space can detect the aggregation scale of flows at the building scale, the block scale and the district scale.
WOS关键词MODELING NETWORK AUTOCORRELATION ; ORIGIN-DESTINATION FLOWS ; SPATIAL-PATTERNS ; K-FUNCTION ; STATISTICS ; DOMAIN
资助项目National Natural Science Foundation of China[41525004] ; National Natural Science Foundation of China[41421001] ; National Key R&D Program of China[2017YFB0503604]
WOS研究方向Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
语种英语
WOS记录号WOS:000558856600001
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China ; National Key R&D Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/158096]  
专题中国科学院地理科学与资源研究所
通讯作者Pei, Tao
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China
3.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		 Shu, Hua,Pei, Tao,Song, Ci,et al. L-function of geographical flows[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2020:28.
APA Shu, Hua.,Pei, Tao.,Song, Ci.,Chen, Xiao.,Guo, Sihui.,...&Zhou, Chenghu.(2020).L-function of geographical flows.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,28.
MLA Shu, Hua,et al."L-function of geographical flows".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020):28.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。