Data Science for Transport A Self-Study Guide with Computer Exercises /

• Main Author: Fox, Charles (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Textbooks in Earth Sciences, Geography and Environment,
• Subjects: Regional planning.; Urban planning.; Transportation engineering.; Traffic engineering.; Statistics .; Computers.; Regional economics.; Spatial economics.; Landscape/Regional and Urban Planning.; Transportation Technology and Traffic Engineering.; Statistics and Computing/Statistics Programs.; Information Systems and Communication Service.; Regional/Spatial Science.

This book offers a unique introduction to the application of data science for transport professionals and students of transport studies. Based on a course taught by the Leeds Institute for Transport Studies, the world's leading center for training transport professionals, it represents the firs...

Table of Contents:

• Preface/ Foreword (professional public transport analyst
• Introduction
• What is Data Science?
• Introduction to Python programming
• Database Design
• Data Munging
• Spatial Data
• Bayesian Interference
• Discriminative Classification
• Spatial Analysis
• Data Visualisation
• Database Scaling
• Professional Issues
• Appendix
• Index.