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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..

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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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: 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 --- 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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Geographic information systems (GISs) have played a vital role in Earth sciences by providing a powerful means of observing the world and various tools for solving complex problems. The scientific community has used GISs to reveal fascinating details about the Earth and other planets. This book on recent advances in GIS for Earth sciences includes 12 publications from esteemed research groups worldwide. The research and review papers in this book belong to the following broad categories: Earth science informatics (geoinformatics), mining, hydrology, natural hazards, and society.

Research & information: general --- mine safety --- GIS-coupled --- spatiotemporal model --- LBM --- methane gas emission --- traffic flows --- taxi trajectory --- float cars --- spatial community --- transport system --- land use --- multi-functionality --- production-living-ecology function --- spatiotemporal dynamics --- obstacle factors --- Xiangxi --- DEM grid cell size --- efficiency --- mountainous watersheds --- optimized parameter set --- TOPMODEL --- social media --- rainstorm event --- spatiotemporal analysis --- factor assessing --- parallel algorithm --- map overlay analysis --- Hilbert ordering decomposition --- spatial analysis --- GIS vector map data --- GIS vector map security --- selective encryption --- simplification method and cryptography --- geo-sensor framework --- geo-sensor platform (GIS) --- sensor networks --- do-it-yourself (DIY) --- landslide susceptibility mapping --- ensemble techniques --- functional trees --- bagging --- rotation forest --- dagging --- algorithm --- cognition --- computer languages --- eye-tracking measurement --- gaze tracking --- human-computer interaction --- open source software --- symbols --- visualisation --- Geographic information systems --- mine planning --- mine development --- mine operation --- environmental management --- mine reclamation --- Indian Himalayas --- landslides --- GIS --- remote sensing

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Geographic information systems (GISs) have played a vital role in Earth sciences by providing a powerful means of observing the world and various tools for solving complex problems. The scientific community has used GISs to reveal fascinating details about the Earth and other planets. This book on recent advances in GIS for Earth sciences includes 12 publications from esteemed research groups worldwide. The research and review papers in this book belong to the following broad categories: Earth science informatics (geoinformatics), mining, hydrology, natural hazards, and society.

Research & information: general --- mine safety --- GIS-coupled --- spatiotemporal model --- LBM --- methane gas emission --- traffic flows --- taxi trajectory --- float cars --- spatial community --- transport system --- land use --- multi-functionality --- production-living-ecology function --- spatiotemporal dynamics --- obstacle factors --- Xiangxi --- DEM grid cell size --- efficiency --- mountainous watersheds --- optimized parameter set --- TOPMODEL --- social media --- rainstorm event --- spatiotemporal analysis --- factor assessing --- parallel algorithm --- map overlay analysis --- Hilbert ordering decomposition --- spatial analysis --- GIS vector map data --- GIS vector map security --- selective encryption --- simplification method and cryptography --- geo-sensor framework --- geo-sensor platform (GIS) --- sensor networks --- do-it-yourself (DIY) --- landslide susceptibility mapping --- ensemble techniques --- functional trees --- bagging --- rotation forest --- dagging --- algorithm --- cognition --- computer languages --- eye-tracking measurement --- gaze tracking --- human-computer interaction --- open source software --- symbols --- visualisation --- Geographic information systems --- mine planning --- mine development --- mine operation --- environmental management --- mine reclamation --- Indian Himalayas --- landslides --- GIS --- remote sensing --- mine safety --- GIS-coupled --- spatiotemporal model --- LBM --- methane gas emission --- traffic flows --- taxi trajectory --- float cars --- spatial community --- transport system --- land use --- multi-functionality --- production-living-ecology function --- spatiotemporal dynamics --- obstacle factors --- Xiangxi --- DEM grid cell size --- efficiency --- mountainous watersheds --- optimized parameter set --- TOPMODEL --- social media --- rainstorm event --- spatiotemporal analysis --- factor assessing --- parallel algorithm --- map overlay analysis --- Hilbert ordering decomposition --- spatial analysis --- GIS vector map data --- GIS vector map security --- selective encryption --- simplification method and cryptography --- geo-sensor framework --- geo-sensor platform (GIS) --- sensor networks --- do-it-yourself (DIY) --- landslide susceptibility mapping --- ensemble techniques --- functional trees --- bagging --- rotation forest --- dagging --- algorithm --- cognition --- computer languages --- eye-tracking measurement --- gaze tracking --- human-computer interaction --- open source software --- symbols --- visualisation --- Geographic information systems --- mine planning --- mine development --- mine operation --- environmental management --- mine reclamation --- Indian Himalayas --- landslides --- GIS --- remote sensing

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This open access book describes the theory of transformation thermotics and its extended theories for the active control of macroscopic thermal phenomena of artificial systems, which is in sharp contrast to classical thermodynamics comprising the four thermodynamic laws for the passive description of macroscopic thermal phenomena of natural systems. This monograph consists of two parts, i.e., inside and outside metamaterials, and covers the basic concepts and mathematical methods, which are necessary to understand the thermal problems extensively investigated in physics, but also in other disciplines of engineering and materials. The analyses rely on models solved by analytical techniques accompanied by computer simulations and laboratory experiments. This monograph can not only be a bridge linking three first-class disciplines, i.e., physics, thermophysics, and materials science, but also contribute to interdisciplinary development.

Metamaterials --- Thermodynamics. --- Thermoelectric materials. --- Theoretical Thermotics --- Transformation Thermotics --- Thermal Metamaterial --- Thermal Wave --- Thermal Cloak --- Thermal Concentrator --- Thermal Rotator --- Thermal Sensor --- Spatiotemporal Modulation --- Diffusive Fizeau Drag --- Thermal Willis Coupling --- Thermal Refraction --- Thermal Dipole --- Thermal Nonreciprocity --- Thermal Conductivity --- Complex Thermal Conductivity --- Thermal Geometric Phase --- Thermal Edge State --- Thermal properties. --- Theoretical Thermotics --- Transformation Thermotics --- Thermal Metamaterial --- Thermal Wave --- Thermal Cloak --- Thermal Concentrator --- Thermal Rotator --- Thermal Sensor --- Spatiotemporal Modulation --- Diffusive Fizeau Drag --- Thermal Willis Coupling --- Thermal Refraction --- Thermal Dipole --- Thermal Nonreciprocity --- Thermal Conductivity --- Complex Thermal Conductivity --- Thermal Geometric Phase --- Thermal Edge State