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010   $a3-319-72953-5
024 7 $a10.1007/978-3-319-72953-4
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035   $a(DE-He213)978-3-319-72953-4
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035   $a(PPN)224639692
035   $a(EXLCZ)994100000002485403
100   $a20180227d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Science for Transport $eA Self-Study Guide with Computer Exercises /$fby Charles Fox
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XVII, 185 p. 77 illus., 49 illus. in color.) 
225 1 $aSpringer Textbooks in Earth Sciences, Geography and Environment,$x2510-1307
311   $a3-319-72952-7 
327   $aPreface/ 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.
330   $aThis book offers a unique introduction to the application of data science for transport professionals and students of transport studies. Based on a course taught by the Leeds Institute for Transport Studies, the world?s leading center for training transport professionals, it represents the first textbook in this new area. As transportation planning has become increasingly data-driven, all graduate students and transport professionals urgently need to update their skills to include databases, machine learning, Bayesian statistics, geographic information system (GIS), and big data tools. Similarly, transport professionals including national and local government planners, transport consultants, and car company engineers are called upon to integrate these disparate areas with a specific focus on transportation issues, such as maps. The textbook also features a downloadable software package with all of the open source tools and libraries used in code examples throughout the book, including Python, Spyder, PostGIS, PyMC and GPy installations. As such, it offers a unique resource for graduate/advanced undergraduate students and instructors in transportation studies, urban and regional planning, engineering and geography, as well as transportation professionals.
410  0$aSpringer Textbooks in Earth Sciences, Geography and Environment,$x2510-1307
606   $aRegional planning
606   $aCity planning
606   $aTransportation engineering
606   $aTraffic engineering
606   $aStatistics
606   $aComputers
606   $aRegional economics
606   $aSpace in economics
606   $aLandscape/Regional and Urban Planning$3https://scigraph.springernature.com/ontologies/product-market-codes/J15000
606   $aTransportation Technology and Traffic Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23120
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008
606   $aRegional/Spatial Science$3https://scigraph.springernature.com/ontologies/product-market-codes/W49000
615  0$aRegional planning.
615  0$aCity planning.
615  0$aTransportation engineering.
615  0$aTraffic engineering.
615  0$aStatistics.
615  0$aComputers.
615  0$aRegional economics.
615  0$aSpace in economics.
615 14$aLandscape/Regional and Urban Planning.
615 24$aTransportation Technology and Traffic Engineering.
615 24$aStatistics and Computing/Statistics Programs.
615 24$aInformation Systems and Communication Service.
615 24$aRegional/Spatial Science.
676   $a307.12
700   $aFox$b Charles$4aut$4http://id.loc.gov/vocabulary/relators/aut$0104501
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299390903321
996   $aData Science for Transport$92546097
997   $aUNINA