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Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories.

, , и . CoRR, (2020)

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Takahiro Kato

Takahiro Moriyama

Poko Banzeli Yabe

Takahiro Kirihara

Takahiro Nishiyama

 

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Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach., , и . CoRR, (2020)PredictGIS 2019 workshop report: Held in conjunction with ACM SIGSPATIAL 2019., , , и . ACM SIGSPATIAL Special, 11 (3): 34-37 (2019)Mobile phone data reveals the importance of pre-disaster inter-city social ties for recovery after Hurricane Maria., , и . Appl. Netw. Sci., 4 (1): 98:1-98:18 (2019)Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data., , , , , и . CoRR, (2021)Mobile phone location data for disasters: A review from natural hazards and epidemics., , , , и . Comput. Environ. Urban Syst., (2022)Replicating urban dynamics by generating human-like agents from smartphone GPS data., , , и . SIGSPATIAL/GIS, стр. 440-443. ACM, (2018)Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities., , , , и . KDD, стр. 2841-2851. ACM, (2020)Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018., , , , и . ACM SIGSPATIAL Special, 10 (3): 26-27 (2018)Universality of population recovery patterns after disasters., , , , и . CoRR, (2019)Social-Media aided Hyperlocal Help-Network Matching & Routing during Emergencies., , и . IEEE BigData, стр. 1606-1611. IEEE, (2018)