Bis 30.9.2024 gibt es mit dem Code EBOOK20 20% Rabatt auf alle Stämpfli E-Books. Einfach den Rabattcode an der Kasse im entsprechenden Feld eingeben.
Fokusthemen
Publikationen
Services
Autorinnen/Autoren
Verlag
Shop
LEXIA
Zeitschriften
SachbuchLOKISemaphor

Data Science for Transport

A Self-Study Guide with Computer Exercises

Inhalt

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.

Bibliografische Angaben

Januar 2019, 185 Seiten, Springer Textbooks in Earth Sciences, Geography and Environment, Englisch
Springer Nature EN
978-3-030-10291-3

Inhaltsverzeichnis

Schlagworte

Weitere Titel der Reihe: Springer Textbooks in Earth Sciences, Geography and Environment

Alle anzeigen

Weitere Titel zum Thema