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Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City., , and . ISPRS Int. J. Geo Inf., 10 (5): 344 (2021)A Sensor-Based Simulation Method for Spatiotemporal Event Detection., , , , and . ISPRS Int. J. Geo Inf., 13 (5): 141 (2024)Emergence of Urban Heat Traps from the Intersection of Human Mobility and Heat Hazard Exposure in Cities., , and . CoRR, (2023)Measuring Place Connectivity Using Big Social Media Data., , , , , , , and . CoRR, (2021)Measuring Inter-city Network Using Digital Footprints from Twitter Users., , and . PredictGIS@SIGSPATIAL, page 25-31. ACM, (2018)The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic., , , , , , and . Int. J. Digit. Earth, 14 (4): 424-442 (2021)Experience: Large-scale Cellular Localization for Pickup Position Recommendation at Black-hole., , , , , , , , , and . MobiCom, page 84:1-84:15. ACM, (2023)SOVAS: a scalable online visual analytic system for big climate data analysis., , , and . Int. J. Geogr. Inf. Sci., 34 (6): 1188-1209 (2020)An optimal sensors-based simulation method for spatiotemporal event detection., , , and . CoRR, (2022)Twitter, human mobility, and COVID-19., , , , and . CoRR, (2020)