Mobility Data Science

Mahmoud Sakr is a professor at the Université libre de Bruxelles. His main research scope is mobility data science, and he has published many papers on this topic. He is a main contributor and a co-founder of MobilityDB, a mobility database that extends PostgreSQL and PostGIS with temporal and spatiotemporal data types. He is also a main contributor and co-chair of the Moving Feature Standards Working Group of the Open Geospatial Consortium. He participates in several Horizon Europe research projects on the topic of mobility data science, including Mobispaces and EMERALDS.Alejandro Vaisman is a professor at the Instituto Tecnológico de Buenos Aires, where he also chairs the graduate program in data science. He has been a visiting researcher at the University of Toronto, Universidad Politécnica de Madrid, Universidad de Chile, Hasselt University, and Université libre de Bruxelles (ULB). His research interests are in the field of databases, business intelligence, and geographic information systems. He has coauthored many scientific papers published at major conferences and in major journals.Esteban Zimányi is a professor at Université libre de Bruxelles. His current research interests include spatio-temporal and mobility databases, data warehouses, and geographic information systems. He has coauthored and coedited several books and published many papers on these topics. He is also the coordinator of the Erasmus Mundus master's and doctorate programs “Information Technologies for Business Intelligence” and “Big Data Management and Analytics'' as well as the Marie Sklodowska-Curie doctorate program “Data Engineering for Data Science”. He is a main contributor and a co-founder of MobilityDB.

• Preface .- Part I Fundamental Concepts 1 Mobility Data Science 2 Spatial, Temporal, and Mobility Databases 3 Mobility Data Representation 4 Mobility Data Visualization 5 Querying Mobility Databases .- Part II Advanced Topics 6 Query Processing and Indexing 7 Mobility Data Warehouses 8 Distributed Mobility Databases .- Part III Mobility Analytics 9 Mobility Data Cleaning 10 Mobility Data Analysis 11 Urban Mobility Use Case 12 Concluding Remarks.