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

Data Science for Transport A Self-Study Guide with Computer Exercises / by Charles Fox.

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 first tex...

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Bibliographic Details
Main Author: Fox, Charles. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Springer Textbooks in Earth Sciences, Geography and Environment,
Springer eBook Collection.
Subjects:
Regional planning.
Urban planning.
Transportation engineering.
Traffic engineering.
Statistics .
Computers.
Regional economics.
Spatial economics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

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