Book ; Online: Geo Data Science for Tourism
2022
Keywords | Research & information: general ; Geography ; green hotel ; corporate social responsibility ; green hotel certification ; Chinese regional tourism ; socioeconomic and environmental drivers ; spatiotemporal influencing factors ; spatiotemporal estimation mapping ; Bayesian STVC model ; spatiotemporal nonstationary regression ; geographical data modeling analysis ; sports tourism ; spatial distribution ; geographic detector ; influencing factors ; China ; A-level scenic spots ; spatiotemporal evolution ; trend analysis ; Geodetector ; tourism economic vulnerability ; obstacle factors ; trend prediction ; major tourist cities ; tourism flow ; cellular signaling data ; social network analysis ; network connection ; node centrality ; communities ; relatedness between attractions ; online tourism reviews ; heterogeneous information network ; embedding ; attraction image ; topic extraction ; AGNES clustering ; tourist attraction clustering ; tourist attraction reachability space model ; space-time deduction ; tour route searching |
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Language | English |
Size | 1 electronic resource (188 pages) |
Publisher | MDPI - Multidisciplinary Digital Publishing Institute |
Publishing place | Basel |
Document type | Book ; Online |
Note | English |
HBZ-ID | HT030380373 |
ISBN | 9783036550305 ; 3036550305 |
Database | ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture |
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