000824173 000__ 03214cam\a2200529Ii\4500
000824173 001__ 824173
000824173 005__ 20230306144108.0
000824173 006__ m\\\\\o\\d\\\\\\\\
000824173 007__ cr\cn\nnnunnun
000824173 008__ 171025t20182018sz\ab\\\oab\\\000\0\eng\d
000824173 019__ $$a1013477305
000824173 020__ $$a9783319590295$$q(electronic book)
000824173 020__ $$a3319590294$$q(electronic book)
000824173 020__ $$z9783319590288
000824173 0247_ $$a10.1007/978-3-319-59029-5$$2doi
000824173 035__ $$aSP(OCoLC)on1007520989
000824173 035__ $$aSP(OCoLC)1007520989$$z(OCoLC)1013477305
000824173 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dAZU$$dCOO$$dUAB$$dOCLCQ$$dU3W$$dCAUOI
000824173 049__ $$aISEA
000824173 050_4 $$aGV943
000824173 08204 $$a796.334/2$$223
000824173 1001_ $$aClemente, Filipe Manuel,$$eauthor.
000824173 24510 $$aComputational metrics for soccer analysis :$$bconnecting the dots /$$cFilipe Manuel Clemente, João Bernardo Sequeiros, Acácio F.P.P. Correia, Frutuoso G.M. Silva, Fernando Manuel Lourenço Martins.
000824173 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018]
000824173 264_4 $$c©2018
000824173 300__ $$a1 online resource :$$bcolor illustrations.
000824173 336__ $$atext$$btxt$$2rdacontent
000824173 337__ $$acomputer$$bc$$2rdamedia
000824173 338__ $$aonline resource$$bcr$$2rdacarrier
000824173 347__ $$atext file$$bPDF$$2rda
000824173 4901_ $$aSpringerBriefs in applied sciences and technology
000824173 504__ $$aIncludes bibliographical references.
000824173 506__ $$aAccess limited to authorized users.
000824173 520__ $$aThis book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports. These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python. The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer.
000824173 588__ $$aOnline resource; title from PDF title page (viewed October 26, 2017).
000824173 650_0 $$aSoccer$$xMathematics.
000824173 650_0 $$aSports$$xMathematics.
000824173 7001_ $$aSequeiros, João Bernardo,$$eauthor.
000824173 7001_ $$aCorreia, Acácio F. P. P.,$$eauthor.
000824173 7001_ $$aSilva, Frutuoso G. M.,$$eauthor.
000824173 7001_ $$aMartins, Fernando Manuel Lourenço,$$eauthor.
000824173 77608 $$iPrint version: $$z9783319590288
000824173 830_0 $$aSpringerBriefs in applied sciences and technology.
000824173 852__ $$bebk
000824173 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-59029-5$$zOnline Access$$91397441.1
000824173 909CO $$ooai:library.usi.edu:824173$$pGLOBAL_SET
000824173 980__ $$aEBOOK
000824173 980__ $$aBIB
000824173 982__ $$aEbook
000824173 983__ $$aOnline
000824173 994__ $$a92$$bISE