Mobility Data Science : From Data to Insights / by Mahmoud Sakr, Alejandro Vaisman, Esteban Zimányi.

Format:

Book

Author/Creator:

Sakr, Mahmoud, author.

Vaisman, Alejandro, author.

Zimányi, Esteban, author.

Series:

Data-Centric Systems and Applications, 2197-974X

Language:

English

Subjects (All):

Artificial intelligence--Data processing.

Artificial intelligence.

Database management.

Geographic information systems.

Data Science.

Database Management System.

Geographical Information System.

Local Subjects:

Data Science.

Database Management System.

Geographical Information System.

Physical Description:

1 online resource (603 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This textbook covers the key topics in mobility data analysis, including all steps of the data science pipeline illustrated with real-world examples. The book is composed of three parts. Part I “Fundamental Concepts” provides the background for this book by introducing spatial and temporal databases and motivating the need for mobility databases. Further chapters in this part are devoted to a formal model for representing mobility data, an introduction to mobility data visualization, and the topic of querying mobility databases. Part II “Advanced Topics” covers topics such as query processing and indexing, illustrated with PostgreSQL, introduces mobility data warehouses using synthetic data, and concludes with distributed mobility databases. Part III “Mobility Analytics” covers important topics like mobility data cleaning, including the identification of erroneous data, and mobility analysis using foundational algorithms for spatial and mobility data. It also includes an urban mobility use case that illustrates the concepts presented throughout the book in a real application setting. This textbook is written for undergraduate and graduate computer science courses on mobility data science. As such, it follows a pedagogical style to make the work of the instructor easier and to help students to understand the concepts being delivered, complementing the presentation with exercises and a companion GitHub repository. SQL is used as a high-level language for analytics, allowing students to write complex data science code, while abstracting away implementation details. Researchers and practitioners who are interested in an introduction to the area of mobility data science will also find the book a useful reference.

Contents:

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.

Notes:

Includes bibliographical references and index.

ISBN:

9783031826368

3031826361