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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..

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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This book highlights the role of research in Ecosystem Services and Land Use Changes in Asia. The contributions include case studies that explore the impacts of direct and indirect drivers affecting provision of ecosystem services in Asian countries, including China, India, Mongolia, Sri Lanka, and Vietnam. Findings from these empirical studies contribute to developing sustainability in Asia at both local and regional scales.

Research & information: general --- coast --- Odisha --- Brahmani River --- climate resilience --- water management --- water quality --- hydrological simulation --- management plan --- water-energy nexus --- spatial water variability --- climate change --- thermal power plant --- Ganges River basin --- 3Rs program --- landscape sustainability --- municipal solid waste --- pig farming --- resource circulation --- resource use efficiency --- urban–rural nexus --- zero-waste lifestyle --- herder --- rangeland degradation --- perception --- traditional rangeland management practices --- Mongolia --- expansion of impervious surface --- underground space development --- deep soil excavation --- SOC loss in deep soil --- urban renovation --- Guangzhou city --- ecological sensitivity --- ecosystem service values --- CA-Markov model --- urban expansion --- Three Gorges Reservoir area --- land use --- ecosystem services --- InVEST --- topographic index --- ecosystem pattern --- wetland ecosystem --- urban wetland --- wetland ecosystem services --- Muthurajawela Marsh --- Negombo Lagoon --- sustainability --- land change modeling --- scenario modeling --- wind erosion prevention service --- revised wind erosion equation --- geo-detector --- food-energy-water security --- nexus --- weighted mean method --- indicator framework --- circulating ecological sphere --- Nagpur --- land use change --- ecosystem service value --- patch-general land use simulation (PLUS) model --- Guanzhong Plain Urban Agglomeration --- heat stress --- WBGT index --- humidex index --- public perceptions --- payment for watershed ecosystem services --- willingness to pay --- willingness to accept --- public participation --- village tank cascade system --- land use systems --- ecosystem services mapping --- ecosystem services trade-offs --- ecosystem services-based ecological restoration --- land-use change --- hotspot analysis --- Geodetector --- central Yunnan urban agglomeration --- n/a --- urban-rural nexus