Charles Fox Fox Data Science for Transport

Data Science for Transport

von Charles Fox

A Self-Study Guide with Computer Exercises

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Beschreibung

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 textbook in this new area.

As transportation planning has become increasingly data-driven, all graduate students and transport professionals urgently need to update their skills to include databases, machine learning, Bayesian statistics, geographic information system (GIS), and big data tools. Similarly, transport professionals including national and local government planners, transport consultants, and car company engineers are called upon to integrate these disparate areas with a specific focus on transportation issues, such as maps.

The textbook also features a downloadable software package with all of the open source tools and libraries used in code examples throughoutthe book, including Python, Spyder, PostGIS, PyMC and GPy installations. As such, it offers a unique resource for graduate/advanced undergraduate students and instructors in transportation studies, urban and regional planning, engineering and geography, as well as transportation professionals.




Introduces data science for students of transport studies, geography and the geosciences, as well as transport professionals The only book to integrate the whole stack of transport data analysis Addresses a range of aspects, from setting up practical database software and scraping web data, to Bayesian analysis, dashboard visualization, big data, and privacy ethics Comes with an easy-to-use software installer that sets up the complete software stack to run the Python, GIS, machine learning, and big data examples

Autor*in

Charles Fox

Themen in »Data Science for Transport«

Quantitative Geography Transport Studies Data Science for Geography and Geoscience Machine Learning for Transport Python for Data Analysis Transportation Analystics Big Data in Transportation GIS and Geodesy Transport studies textbook landscape/regional and urban planning

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Details

ISBN: 9783319729527
Verlag: Springer International Publishing
Erscheinung: 13.03.2018

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