000826695 000__ 03470cam\a2200469M\\4500 000826695 001__ 826695 000826695 005__ 20230306144416.0 000826695 006__ m\\\\\o\\d\\\\\\\\ 000826695 007__ cr\un\nnnunnun 000826695 008__ 180307s2018\\\\xx\\\\\\ob\\\\001\0\eng\d 000826695 019__ $$a1027122216$$a1027524905$$a1027714456$$a1028035074$$a1029062955$$a1029642790$$a1030294884 000826695 020__ $$a9783319729534$$q(electronic book) 000826695 020__ $$a3319729535$$q(electronic book) 000826695 020__ $$z9783319729527 000826695 020__ $$z3319729527 000826695 0247_ $$a10.1007/978-3-319-72953-4$$2doi 000826695 035__ $$aSP(OCoLC)on1027366368 000826695 035__ $$aSP(OCoLC)1027366368$$z(OCoLC)1027122216$$z(OCoLC)1027524905$$z(OCoLC)1027714456$$z(OCoLC)1028035074$$z(OCoLC)1029062955$$z(OCoLC)1029642790$$z(OCoLC)1030294884 000826695 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dAZU$$dUAB$$dDKU$$dOCLCF$$dUPM$$dSNK$$dMERER$$dOCLCQ 000826695 049__ $$aISEA 000826695 050_4 $$aHE147.6 000826695 08204 $$a388.0285$$223 000826695 1001_ $$aFox, Charles. 000826695 24510 $$aData science for transport :$$ba self-study guide with computer exercises. 000826695 260__ $$a[S.l.] :$$bSpringer,$$c2018. 000826695 300__ $$a1 online resource. 000826695 336__ $$atext$$btxt$$2rdacontent 000826695 337__ $$acomputer$$bc$$2rdamedia 000826695 338__ $$aonline resource$$bcr$$2rdacarrier 000826695 347__ $$atext file$$bPDF$$2rda 000826695 4901_ $$aSpringer textbooks in earth sciences, geography and environment 000826695 504__ $$aIncludes bibliographical references and index. 000826695 5050_ $$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. 000826695 506__ $$aAccess limited to authorized users. 000826695 520__ $$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. 000826695 650_0 $$aTransportation$$xData processing. 000826695 77608 $$iPrint version: $$z3319729527$$z9783319729527$$w(OCoLC)1013171577 000826695 830_0 $$aSpringer textbooks in earth sciences, geography and environment. 000826695 852__ $$bebk 000826695 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-72953-4$$zOnline Access$$91397441.1 000826695 909CO $$ooai:library.usi.edu:826695$$pGLOBAL_SET 000826695 980__ $$aEBOOK 000826695 980__ $$aBIB 000826695 982__ $$aEbook 000826695 983__ $$aOnline 000826695 994__ $$a92$$bISE