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Geospatial big data handling theory and methods: A review and research challenges

, , , , , , , , , , and . Journal of Photogrammetry and Remote Sensing (ISPRS), (2016)

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predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning., , , and . Comput. Environ. Urban Syst., (2019)Geospatial big data handling theory and methods: A review and research challenges, , , , , , , , , and 1 other author(s). Journal of Photogrammetry and Remote Sensing (ISPRS), (2016)predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning., , , and . CoRR, (2018)Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?, , , , and . GeoExT@ECIR, volume 3683 of CEUR Workshop Proceedings, page 91-105. CEUR-WS.org, (2024)Spatio-temporal autocorrelation of road network data., , and . J. Geogr. Syst., 14 (4): 389-413 (2012)Re-designing cities with conditional adversarial networks., , and . CoRR, (2021)CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning., , , and . CoRR, (2021)Advances in geocomputation (1996-2011)., , and . Comput. Environ. Urban Syst., 36 (6): 481-487 (2012)Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get?, and . ISPRS Int. J. Geo Inf., 8 (12): 560 (2019)WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning., , and . ISPRS Int. J. Geo Inf., 8 (12): 549 (2019)