Geography of Climate Change Vulnerability will help readers learn a hands-on, problem-based approaches to providing real-world research across the different roles and modes of GIS applications in climate research. This is an essential resource for researchers across disciplines looking into issues and solutions stemming from climate variability, and for new ways to assess complex and diverse data while doing so.
- Reviews how to integrate current climate science with diverse environmental data to better model, analyze and predict climate impacts and vulnerabilities- Emphasizes the implementation of a wide array of GIS concepts and techniques (e.g., geodatabases, geoprocessing, spatial modeling, mapping, etc.)- All tasks of geospatial analytics, modeling and visualization are illustrated in the ArcGIS platform
Section 1: Introduction 1. The Geography of Climate Change Vulnerability: An Overview 2. Geographic Information Systems: The Basics 3. Climate Change: Fundamentals 4. Vulnerability Science: Emergent Principles
Section 2: Techniques 5. GIS for Climate Change Vulnerability Assessment 6. GIS for Climate Change Vulnerability Assessment: Methods 7. GIS for Climate Change Vulnerability Assessment: Implementation Realities
Section 3: Applications (Cases) 8. Overview of Application Areas 9. Vulnerability of Water Resource Systems 10. Vulnerability of Agro-ecological Systems 11. Vulnerability of Human-Land Interactions 12. The Future of GIS for Climate Change
Dr. U. Sunday Tim is an Associate Professor of Agricultural and Biosystems Engineering at Iowa State University, Ames, Iowa, USA. He received both his bachelor's (with Distinction) and doctoral degrees from Concordia University, Montreal, Canada. Dr. Tim's areas of research interest are focused on cyber-physical systems technologies for sustainable food, bioenergy and water systems, cloud-enabled geospatial modeling environments in eco-hydrology, and space-time modeling of human-environmental systems. Additionally, he is investigating impacts of climate change on coupled human-natural systems, including geospatial analysis of challenges for climate refugees. Dr. Tim has developed and taught a variety of courses focused on geospatial information and geographic information science.
Dr Sharma is a researcher in Data Science Services at the Center for Survey Statistics and Methodology, Iowa State University. His research interests relating to databases include issues in Big Data, Geospatial relationships, SpatioTemporal and GIS Technology. He is Editor in Chief of several international journals and on the advisory board for an additional 9 journals.