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An empirical study on the intra-urban goods movement patterns using logistics big data.

• Authors : Zhao, Pengxiang^1,2 (AUTHOR); Liu, Xintao¹ (AUTHOR) ; Shi, Wenzhong¹ (AUTHOR)

• Source: International Journal of Geographical Information Science. Jun2020, Vol. 34 Issue 6, p1089-1116. 28p.

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Representation and analytical models for location-based big data.

• Authors : Yao, Xiaobai A.¹ ; Huang, Haosheng²; Jiang, Bin³

• Source: International Journal of Geographical Information Science. Apr2019, Vol. 33 Issue 4, p707-713. 7p.

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Integrating multi-source big data to infer building functions.

• Authors : Niu, Ning¹ (AUTHOR); Liu, Xiaoping¹ (AUTHOR) ; Jin, He² (AUTHOR)

• Source: International Journal of Geographical Information Science. Sep2017, Vol. 31 Issue 9, p1871-1890. 20p.

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Characterizing mixed-use buildings based on multi-source big data.

• Authors : Liu, Xiaoping¹ (AUTHOR); Niu, Ning¹ (AUTHOR) ; Liu, Xingjian² (AUTHOR)

• Source: International Journal of Geographical Information Science. Apr2018, Vol. 32 Issue 4, p738-756. 19p.

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Geographic space as a living structure for predicting human activities using big data

• Authors : Jiang, Bin, 1965; Ren, Zheng

Subjects: Organic worldview; topological representation; tweet locations

• Source: International Journal of Geographical Information Science. 33(4):764-779

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Enabling point pattern analysis on spatial big data using cloud computing: optimizing and accelerating Ripley’s K function.

• Authors : Zhang, Guiming¹ (AUTHOR); Huang, Qunying¹ (AUTHOR); Zhu, A-Xing^1,2,3,4,5 (AUTHOR)

• Source: International Journal of Geographical Information Science. Nov2016, Vol. 30 Issue 11, p2230-2252. 23p.

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Spatiotemporal data model for network time geographic analysis in the era of big data.

• Authors : Chen, Bi Yu¹ (AUTHOR) ; Yuan, Hui^1,2 (AUTHOR); Li, Qingquan^1,3 (AUTHOR)

• Source: International Journal of Geographical Information Science. Jun2016, Vol. 30 Issue 6, p1041-1071. 31p.

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Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data.

• Authors : Yao, Yao¹ (AUTHOR); Liu, Xiaoping² (AUTHOR) ; Li, Xia² (AUTHOR)

• Source: International Journal of Geographical Information Science. Jun2017, Vol. 31 Issue 6, p1220-1244. 25p.

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The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration.

• Authors : Graser, Anita^1,2 (AUTHOR) ; Widhalm, Peter¹ (AUTHOR); Dragaschnig, Melitta¹ (AUTHOR)

• Source: International Journal of Geographical Information Science. Dec2020, Vol. 34 Issue 12, p2517-2540. 24p.

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Efficient and scalable DBSCAN framework for clustering continuous trajectories in road networks.

• Authors : Chen, Bi Yu^1,2,3 (AUTHOR); Luo, Yu-Bo^1,2,3 (AUTHOR); Zhang, Yu^1,2,3 (AUTHOR)

Subjects: *Data mining; *Big data; Space trajectories

• Source: International Journal of Geographical Information Science. Aug2023, Vol. 37 Issue 8, p1693-1727. 35p.

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