Xuan Zhu – författare

Geographical information systems (GIS) are powerful tools for reporting on the environment, natural resources and social and economic development; modelling the environmental, biophysical, social and economic processes; assessing environmental and social impacts; evaluating environmental, social and economic policies and actions and dissimilating spatial information. Geographical Information Systems: A Practical Approach provides the fullest available introduction to GIS and their environmental, social and economic applications. This new edition has been substantially revised and updated to incorporate the key developments in GIS technology and spatial data science and their applications that have taken place in recent years.The key features include:A comprehensive coverage of concepts, methods, techniques and tools in GIS for spatial data capturing, processing, visualisation, analysis, modelling and decision-makingIncorporation of advanced machine learning techniques for spatial data analysis and modellingExtended coverage of spatial visualisation with 3D mapping and online mappingWeaving together of GIS theory and practice to help readers learn important GIS concepts and methods and develop their understanding through practicals with ArcGIS Pro or QGISNew and updated case studies illustrating the innovative use of GIS for a wide range of applicationsThe second edition of this text continues to bring up-to-date GIS knowledge, tools and practices into one cohesive, comprehensive, concise and self-contained book which is accessible to students, scientists and practitioners in environmental science, earth science, geography, archaeology and other scientific studies that have a spatial dimension.

Geographical information systems (GIS) are powerful tools for reporting on the environment, natural resources and social and economic development; modelling the environmental, biophysical, social and economic processes; assessing environmental and social impacts; evaluating environmental, social and economic policies and actions and dissimilating spatial information. Geographical Information Systems: A Practical Approach provides the fullest available introduction to GIS and their environmental, social and economic applications. This new edition has been substantially revised and updated to incorporate the key developments in GIS technology and spatial data science and their applications that have taken place in recent years.The key features include:A comprehensive coverage of concepts, methods, techniques and tools in GIS for spatial data capturing, processing, visualisation, analysis, modelling and decision-makingIncorporation of advanced machine learning techniques for spatial data analysis and modellingExtended coverage of spatial visualisation with 3D mapping and online mappingWeaving together of GIS theory and practice to help readers learn important GIS concepts and methods and develop their understanding through practicals with ArcGIS Pro or QGISNew and updated case studies illustrating the innovative use of GIS for a wide range of applicationsThe second edition of this text continues to bring up-to-date GIS knowledge, tools and practices into one cohesive, comprehensive, concise and self-contained book which is accessible to students, scientists and practitioners in environmental science, earth science, geography, archaeology and other scientific studies that have a spatial dimension.

User interface is one of the most important components for decision support systems since it directly faces to the end users: decision makers and stakeholders. Implementation of modern visualization and interaction techniques can fill the gap between models and information in order to assist the end user to achieve appropriate knowledge. Web-based interactive maps and construction of virtual environments are mainly described in this research. Combining with several case studies, the advantages and disadvantages of 2D and 3D visualization have been revealed.

This volume gathers the latest advances, innovations, and applications in the field of geographic information systems and unmanned aerial vehicle (UAV) technologies, as presented by leading researchers and engineers at the 1st International Conference on Unmanned Aerial System in Geomatics (UASG), held in Roorkee, India on April 6-7, 2019. It covers highly diverse topics, including photogrammetry and remote sensing, surveying, UAV manufacturing, geospatial data sensing, UAV processing, visualization, and management, UAV applications and regulations, geo-informatics and geomatics. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.

This volume gathers the latest advances, innovations, and applications in the field of geographic information systems and unmanned aerial vehicle (UAV) technologies, as presented by leading researchers and engineers at the 1st International Conference on Unmanned Aerial System in Geomatics (UASG), held in Roorkee, India on April 6-7, 2019. It covers highly diverse topics, including photogrammetry and remote sensing, surveying, UAV manufacturing, geospatial data sensing, UAV processing, visualization, and management, UAV applications and regulations, geo-informatics and geomatics. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.

Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.