An OD Flow Spatio-temporal Joint Clustering Algorithm based on Step-by-step Merge Strategy

Qiuliang XIANG; Qunyong WU; Liangpan ZHANG

doi:10.12082/dqxxkx.2020.190276

[1] et alA multidimensional spatial scan statistics approach to movement pattern comparsion[J]. International Journal of Geographical Information Science, 32, 1304-1325(2018).

[2] Understanding individual human mobility patterns[J]. Nature, 458, 779-782(2008).

[3] Origin-destination flow data smoothing and mapping[J]. IEEE Transactions on Visualization and Computer Graphics, 20, 2043-2052(2014).

[4] 王祖超, 袁晓如. 轨迹数据可视分析研究[J]. 计算机辅助设计与图形学学报, 2015,27(1):9-25. [ Wang ZC, Yuan XR. Visual analysis of trajectory data[J]. Journal of Computer-Aided Design & Computer Graphics, 2015,27(1):9-25. ] [ Wang Z C, Yuan X R. Visual analysis of trajectory data[J]. Journal of Computer-Aided Design & Computer Graphics, 2015,27(1):9-25. ]

[5] et alA simple line clustering method for spatial analysis with origin-destination data and Its application to bike-sharing movement data[J]. ISPRS International Journal of Geo-information, 7, 203-219(2018).

[6] et alQuantifying the impact of human mobility on malaria[J]. Science, 338, 267-270(2012).

[7] et alAnalysis of big patient mobility data for identifying medical regions, spatio-temporal characteristris and care demands of patients on the move[J]. International Journal of Health Geographics, 17, 32-49(2018).

[8] et alThe topology of card transaction money flows[J]. Physica A-Statistical Mechanics and Its Application, 462, 134-140(2018).

[9] et alThe worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles[J]. Proceedings of the National Academy of Science of the United States of America, 102, 7794-7799(2005).

[10] 邬群勇, 张良盼, 吴祖飞. 顾及空间异质性的出租载客与公交客流回归分析[J]. 地球信息科学学报, 2019,21(3):337-345. [ Wu QY, Zhang LP, Wu ZF. Regression analysis of taxi pick-up and bus passenger flow considering the spatial heterogeneity[J]. Journal of Geo-information Science, 2019,21(3):337-345. ] [ Wu Q Y, Zhang L P, Wu Z F. Regression analysis of taxi pick-up and bus passenger flow considering the spatial heterogeneity[J]. Journal of Geo-information Science, 2019,21(3):337-345. ]

[11] 邬群勇, 苏克云, 邹智杰. 基于MapReduce的海量公交乘客OD并行推算方法[J]. 地球信息科学学报, 2018,20(5):647-655. [ Wu QY, Su KY, Zou ZJ. Spatial and temporal analysis of bus passenger flow based on massive smart card data[J]. Journal of Geo-information Science, 2018,20(5):647-655. ] [ Wu Q Y, Su K Y, Zou Z J. Spatial and temporal analysis of bus passenger flow based on massive smart card data[J]. Journal of Geo-information Science, 2018,20(5):647-655. ]

[12] 信睿, 艾廷华, 杨伟, 等. 顾及出租车OD点分布密度的空间Voronoi剖分算法及OD流可视化分析[J]. 地球信息科学学报, 2015,17(10):1187-1195. [ XinR, Ai TH, YangW, et al. A new network voronoi diagram considering the OD point density of taxi and visual analysis of OD flow[J]. Journal of Geo-information Science, 2015,17(10):1187-1195. ] [ Xin R, Ai T H, Yang W, et al. A new network voronoi diagram considering the OD point density of taxi and visual analysis of OD flow[J]. Journal of Geo-information Science, 2015,17(10):1187-1195. ]

[13] Flow mapping and multivariate visualization of large spatial interaction data[J]. IEEE Transactions on Visualization and Computer Graphics, 15, 1041-1048(2009).

[14] From spatial interaction data to spatial interaction information?Geovisualisation and spatial structures of migration from the 2001 UK census[J]. Computers Environment and Systems, 33, 161-178(2009).

[15] et alDensity-based clustering for data containing two types of points[J]. International Journal of Geographical Information Science, 29, 175-193(2015).

[16] et alDetecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization[J]. International Journal of Geographical Information Science, 33, 134-154(2019).

[17] Spatial generalization and aggregation of massive movement data[J]. IEEE Transactions on Visualization and Computer Graphics, 17, 205-219(2011).

[18] et alVisual abstraction of large scale geospatial origin-destination movement data[J]. IEEE transactions on visualization and computer graphics, 25, 43-53(2018).

[19] et alDiscovering spatial patterns in origin-destination mobility data[J]. Transactions in GIS, 16, 411-429(2012).

[20] et alA stepwise spatio-Temporal flow clustering method for discovering mobility trends[J]. IEEE ACCESS, 6, 44666-44675(2018).

[21] 盖亚开发数据计划:https://outreach.didichuxing.com/research/opendata/DB/OL]. https://outreach.didichuxing.com/research/opendata[ GAIA Open Dataset:https://outreach.didichuxing.com/research/opendata/[DB/OL]. ] [ GAIA Open Dataset:https://outreach.didichuxing.com/research/opendata/[DB/OL]. ] https://outreach.didichuxing.com/research/opendata/