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A simple and direct method to analyse the influences of sampling fractions on modelling intra-city human mobility., , , , и . Int. J. Geogr. Inf. Sci., 33 (3): 618-644 (2019)Identifying stops from mobile phone location data by introducing uncertain segments., , , , , и . Trans. GIS, 22 (4): 958-974 (2018)Representing the Spatial Extent of Places Based on Flickr Photos with a Representativeness-Weighted Kernel Density Estimation., и . GIScience, том 9927 из Lecture Notes in Computer Science, стр. 130-144. Springer, (2016)Toward space-time buffering for spatiotemporal proximity analysis of movement data., , , , и . Int. J. Geogr. Inf. Sci., 32 (6): 1211-1246 (2018)Visual Exploratory Data Analysis of Traffic Volume., , и . MICAI, том 4293 из Lecture Notes in Computer Science, стр. 695-703. Springer, (2006)A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios, , , , и . IEEE Transactions on Vehicular Technology, 63 (2): 540--555 (февраля 2014)Impacts of high-speed rails on the accessibility inequality of railway network in China., , , и . Geoinformatics, стр. 1-5. IEEE, (2014)New Human Dynamics in the Emerging Metaverse: Towards a Quantum Phygital Approach by Integrating Space and Place (Vision Paper)., и . COSIT, том 240 из LIPIcs, стр. 11:1-11:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators., , , , , , и . ISPRS Int. J. Geo Inf., 6 (1): 7 (2017)Estimating Potential Demand of Bicycle Trips from Mobile Phone Data - An Anchor-Point Based Approach., , , и . ISPRS Int. J. Geo Inf., 5 (8): 131 (2016)