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Geo Data Science for Tourism

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

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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Tipo de recurso:

libros

ISBN electrónico

978-3-0365-5030-5