Explores the intersection between United Nations’ Sustainable Development Goals (SDGs) and geospatial technology. Analyzes how geospatial and statistical information, and data analysis techniques are effectively employed to assess, monitor, and facilitate sustainable development initiatives.
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.
1. Multi-Criteria Optimization Modeling for the Sustainable Development
Goals of Nigeria: Mission 2030
2. Simulating the Impacts of Land Use
Transformations on Flood Potential Using a Distributed Hydrological Model, in
the Palani Hills, South India
3. Decadal Land Use/Land Cover Change Detection
Using Remote Sensing and GIS Technique in Karnataka, South India
4.
Spatiotemporal Mapping of Air Pollutants in Delhi During the Haze Period
5.
Mapping the Groundwater Table in an Alluvial Aquifer Using Digital Elevation
Model, GIS, and Geostatistics
6. Spatial Regression and Temporal Analyses
Using GIS: A Case Study of India
7. A Spatially Explicit Framework for
Computing the QoL Index for People in the Cauvery River Basin
8. A Remote
Sensing and GIS-Based Two-Decadal Spatiotemporal Analysis of the Delhi Region
Due to Variability in Climate
9. Measurements of Precipitation over the
Antarctic Region: Ground-Based Data and Satellite Measurements
10.
Spatiotemporal Monitoring of Land Surface Temperature for Assessing
Heat-Related Health Risks
11. A Multi-Attribute Optimization Modeling of
Socio-Economic Issues of Sustainable Development Goals of India: Mission 2030
12. Energy Supply Cost Sustainability: A Case Study of Educational
Institution
13. Exploring Market Hierarchy and Infrastructural Facilities for
Sustainable Rural Development in India: A Geographical Perspective
14.
Quantification of Potential Evapotranspiration from Pindari-Kafni Glacier
Valleys in Kumaun Central Himalayas
Qazi Mazhar Ali, DPhil (Oxon), is the former Dean of the Faculty of Science and Professor of Statistics at the Department of Statistics & Operations Research, Aligarh Muslim University, India. He earned his doctorate degree from the University of Oxford in 1993. He has been designated as the primary point of contact for the United Nations Global Geospatial Information Management (UNGGIM), and he is actively engaged in the Sustainable Development Goals 2030 through a statistical data network. He has published his work in digital image analysis, classification (remotely sensed images), epidemiology, and bioinformatics in the UK and Germany. He contributed in popularizing PCbased computer education in the 1980s and continues to advance it still.
Rizwan Ahmad, PhD, is a faculty member at the Interdisciplinary Department of Remote Sensing & GIS Applications, Aligarh Muslim University, India. His research interests include Earth observation, geospatial technology applications, and GIS data integration. He has a doctorate in geoscience and has vast research and teaching experience in India and abroad. He has worked with prestigious institutes such as the IIRS-ISRO (Indian Institute of Remote SensingIndian Space Research Organisation; Forest Survey of India (MoEF & CC, Govt. of India), Dehradun; and Eritrea Institute of Technology (EIT), Asmara, Eritrea (North East Africa).
Irfan Ali, MPhil, PhD, is a Senior Assistant Professor of Statistics and Operations Research at Aligarh Muslim University, India. He was recently recognized by ScholarGPS, one of the world-renowned scholar agencies, for his contributions to the mathematical optimization and environment statistics fields. He has published many research articles as well as several books, including the textbook, Optimization with LINGO-18: Problems and Applications. His research interests include applied statistics, mathematical optimization, fuzzy logic and optimization, multi-objective optimization, supply chain management, UN Sustainable Development Goals, and renewable energy production modeling. He has completed several grant projects and also serves as associate editor and editorial board member for several journals.
Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. A prolific author and editor, he is the editor of several book series and has published many research papers and books on intelligent decision-making, supply chain management, optimization techniques, sustainability modeling. disruptive technologies, intelligent computing, etc. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI). He has received numerous awards for his work.
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