"This new volume provides a comprehensive exploration of the intersection between the United Nations Sustainable Development Goals (SDGs) and geospatial technology. The book analyzes how geospatial and statistical information, including satellite imagery, Geographic Information System, remote sensing, and statistical tools and data analysis techniques are effectively employed to assess, monitor, and facilitate sustainable development initiatives. The book begins with looking at multi-criteria optimization modeling to help meet sustainable development goals, employing a mathematical model aimed at enhancing energy efficiency, bolstering economic productivity, and curbing greenhouse gas emissions. The volume goes on to explore research on employing geospatial and statistical approaches for spatiotemporal mapping of air pollutants, mapping groundwater tables, gauging potential evapotranspiration, measuring precipitation, analyzing variability in climate over decades, monitoring of land surface temperatures, and more. Chapters also use a geospatial and statistical approach to measure the quality-of-life index for people and to discuss socio-economic issues in conjunction with the Sustainable Development Goals. Key features: * Discusses critical edge GIS applications used for predictive modeling in sustainability studies * Includes case studies with a broad geographic scope that cater to multiple levels of expertise * Looks at the use of GIS at different scales of cultural landscapes and brings together the experiences of leading experts in the field The research and studies presented in Sustainable Development: A Geospatial and Statistical Perspective offer inspiration and ideas for solutions to the unique challenges in achieving SDGs across the globe"-- Provided by publisher.