- ホーム
- > 洋書
- > 英文書
- > Architecture
Full Description
This comprehensive handbook presents the current state of knowledge on geospatial technologies, techniques, and methods that are imperative for providing solutions to sustainable cities. It addresses the role of geospatial big data and AI techniques and how they are applied when analyzing the sustainability of urban development, land use, urban planning, and resource management, as well as monitoring the impact urbanization has on the environment and the ecosystem. Taking an interdisciplinary approach to sustainable cities, and with contributions from renowned experts around the world, this holistic handbook is a toolbox for geospatial, urban, and sustainability professionals, the artificial intelligence community, and those who work in related fields.
Features:
Explores cutting-edge geospatial and AI techniques in support of efficient, resilient, digital, and smart cities
Bridges urban science and sustainability science via geospatial methods
Contributes to the efforts of GEO by addressing and exemplifying pertinent societal benefit areas and engagement priorities
Includes 16 case studies with a broad geographic scope that integrate societal needs with technological advances
Draws expertise in geospatial technology, big data, and artificial intelligence from leading experts in the world
This book is intended for researchers and scientists interested in learning techniques in GeoAI, including the technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets. Chapters 3, 6, 7, 8, and 15 of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.
Contents
Part 1: Artificial Intelligence and Big Data Analytics: Needs and Requirements. 1. Sensing Urban Physical Environment with GeoAI and Street-level Imagery. 2. Geospatial Big Data for Urban Sustainability Science. 3. Urban Flooding Monitoring and Management in Geospatial Perspective: Data, Techniques, and Platforms. Part 2: Geospatial Techniques for Renewable Cities. 4. Assessing Sustainability in China's Resource-Based Cities: Leveraging Remote Sensing Techniques for Evaluating Environment-related SDG Progress. 5. Urban Green Space Maps Based on GeoAI. 6. Contrasting Pattern of Urban Expansion and Urban Land-use Intensification of Global Megacities Using Nighttime Light Time Series Data. 7. The Potential of Nature-Based Solutions in Urban Heat Mitigation and Building Energy Savings. Part 3: Geospatial Techniques for Resilient Cities. 8. GeoAI for High-Resolution Urban Air Temperature Estimation and Urban Heat Island Monitoring. 9. Satellite-based Assessment of Urban Thermal Environments. 10. Urban Air Pollution Mitigation for Sustainable Cities: Observation, Modelling, and Control Strategies. 11. Geospatial Analysis of Emerging Drought Risk in a Warming Climate. 12. Urban Summer Air Temperature Forecasting through a Fusion of a Numerical Weather Prediction Model with Machine Learning. Part 4: Digital Cities. 13. GIS-based Modeling for Estimating Urban Carbon Emissions. 14. The Relationship Between Visual Space and Elders' Mental Health Within 15-minute Life Circles Using SVIs-A Case Study Of Beijing. 15. Comparisons of Deep Learning Models for Dynamic Local Climate Zone Mapping. 16. The Potential Diffusion and Economic Impacts of Private Autonomous Vehicles: A Spatial Agent-based Model
