03337nam 2200853z- 450 991059507920332120231214133203.0(CKB)5680000000080733(oapen)https://directory.doabooks.org/handle/20.500.12854/92131(EXLCZ)99568000000008073320202209d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierGeo Data Science for TourismBaselMDPI Books20221 electronic resource (188 p.)3-0365-5029-1 3-0365-5030-5 This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations..Research & information: generalbicsscGeographybicsscgreen hotelcorporate social responsibilitygreen hotel certificationChinese regional tourismsocioeconomic and environmental driversspatiotemporal influencing factorsspatiotemporal estimation mappingBayesian STVC modelspatiotemporal nonstationary regressiongeographical data modeling analysissports tourismspatial distributiongeographic detectorinfluencing factorsChinaA-level scenic spotsspatiotemporal evolutiontrend analysisGeodetectortourism economic vulnerabilityobstacle factorstrend predictionmajor tourist citiestourism flowcellular signaling datasocial network analysisnetwork connectionnode centralitycommunitiesrelatedness between attractionsonline tourism reviewsheterogeneous information networkembeddingattraction imagetopic extractionAGNES clusteringtourist attraction clusteringtourist attraction reachability space modelspace-time deductiontour route searchingResearch & information: generalGeographyMarchetti Andreaedt127673Lo Duca AngelicaedtMarchetti AndreaothLo Duca AngelicaothBOOK9910595079203321Geo Data Science for Tourism3035014UNINA