Data Science for Transport

187 pages. Temps de lecture estimé 2h20min.
Introduces data science for students of transport studies, geography and the geosciences, as well as transport professionalsThe only book to integrate the whole stack of transport data analysisAddresses a range of aspects, from setting up practical database software and scraping web data, to Bayesian analysis, dashboard visualization, big data, and privacy ethicsComes with an easy-to-use software installer that sets up the complete software stack to run the Python, GIS, machine learning, and big data examplesPreface/​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.