Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development
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Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development
About this book
The Asia-Pacific region, home to some of the world's fastest-growing economies, faces a range of complex challenges, including environmental degradation, the increasing frequency of natural hazards, and rapid urbanization. Addressing these issues, which many countries across the globe are facing, requires innovative, interdisciplinary approaches to promote sustainable development and enhance resilience. Geographic information systems (GIS), when combined with multi-criteria decision-making (MCDM) techniques and advanced technologies such as artificial intelligence (AI), offer powerful tools to tackle these multifaceted problems. AIGIS integrates AI with GIS to derive insights from geospatial data. The fusion of AI techniques with GIS enhances data analysis, visualization, and decision-making. Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development explore how these integrated tools can support decision-making processes aimed at advancing sustainable development.
Drawing on research and insights from diverse disciplines, the book looks at how GIS, MCDM, and AI can provide solutions for disaster risk reduction, environmental monitoring, urban planning, and natural resource management. Through diverse case studies and theoretical explorations, this book highlights the value of integrated geospatial tools in facilitating informed decision-making and fostering resilient societies in the face of evolving challenges. It covers a wide range of topics, including the following:
- Site-soil-geology assessments in Fiji
- Flood risk analysis in Hong Kong
- Air quality management in Delhi during the COVID-19 pandemic
- Vegetation health monitoring in Thailand
Bringing together the work of academicians, practitioners, and decision-makers, the book reflects the growing recognition towards effective and sustainable solutions to complex problems, which require a multidimensional approach, integrating scientific, economic, and social considerations. By providing the latest research and practical applications of MCDM, AI, and GIS, it contributes to ongoing efforts to build a more sustainable and resilient future for the Asia-Pacific region, as well as for the world.
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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Foreword
- Preface
- Editors
- Contributors
- Chapter 1 Pathways for Sustainable Development and Multi-Criteria Decision-Making Using AI and GIS
- Chapter 2 Sustainable Development through Geospatial Multi-Criteria Decision-Making (MCDM): A Comprehensive Analysis
- Chapter 3 Enhancing Sustainable Development Goals (SDG) through Geographic Information Systems and Multi-Criteria Decision-Making: A Case Study of Hong Kong
- Chapter 4 Urban Disaster Planning and Flood Hazard Zonation from a Geomatic, GIS and Urban Planning Perspective: A Case Study of Sigatoka Town, Fiji Islands
- Chapter 5 Learning Lessons from the Scenario Changes of Air Quality with Reference to the Pandemic in Delhi NCR: An MCDM Approach for Fighting Air Pollution
- Chapter 6 Monitoring the Forest Cover of the Chiang Mai Area in Thailand: A Geospatial Approach
- Chapter 7 Optimization of Solid Waste Collection and Distribution Using GIS Technology
- Chapter 8 Spatial Association between Population Characteristics and Visceral Leishmaniasis Incidence in Muzaffarpur District, Bihar (India)
- Chapter 9 Hydropower Site Optimization for Sustainable Energy Supply: A Case Study in PNG
- Chapter 10 Role of Smart Sensor in Internet of Things for Structural Health Monitoring of Composite Structures
- Chapter 11 State of Geospatial Data for Environmental Governance in Bangladesh
- Chapter 12 Establishing a New Sustainable Rice Cultivar in the Cyclone-Affected Zones of the Sundarbans Mangrove Ecosystem
- Index