Geostatistical Approaches to Environmental and Public Health Issues
Will be published approx. on 1. December 2026
Book
Paperback/Softback
300 pages
978-0-443-45801-9 (ISBN)
Description
Geostatistical Approaches to Environmental and Public Health Issues is a timely and comprehensive examination of how geostatistical techniques can be leveraged to better understand and respond to pressing environmental and public health challenges. As the availability of large-scale spatial and temporal data continues to grow, so too does the demand for advanced tools that can navigate the complexity of real-world phenomena. This volume bridges methodological innovation with applied research, making it an essential resource for scientists, policymakers, and public health practitioners. Environmental and health-related events-such as air and water pollution, disease outbreaks, nutritional deficits, maternal and child health risks, and exposure to natural hazards like floods, droughts, and earthquakes-are inherently spatial and often uncertain. Traditional statistical models fall short in capturing the intricate patterns and dependencies involved. This book showcases how techniques like kriging, spatial regression, Bayesian modeling, and space-time analysis offer powerful, nuanced insights into these issues. Emphasizing stochastic, non-deterministic approaches, the volume highlights the importance of modeling uncertainty in both environmental and health domains. Through case studies and research-driven chapters, it demonstrates how integrating geospatial and statistical methods can enhance our understanding of where, why, and how events occur-ultimately improving the precision of health interventions and environmental policies. By aligning cutting-edge statistical approaches with the geospatial dimensions of health and environmental data, this book fills a critical gap in the literature and supports more targeted, data-driven decision-making in the face of global uncertainty.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
Weight
449 gr
ISBN-13
978-0-443-45801-9 (9780443458019)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Dr. Deepak Kumar is a Research Scientist in the Atmospheric Sciences Group at Texas Tech University. He previously served as a Research Scientist at the Atmospheric Sciences Research Center, State University of New York at Albany, and as an Assistant Professor at Amity University, Delhi-NCR. His research focuses on geospatial sciences, computational sciences, climate change, sustainability, and the urban-climate-energy nexus. His work integrates remote sensing, geoinformatics, environmental studies, energy systems, urban weather, and climate modelling to support interdisciplinary research and policy applications. Dr. Kumar has experience in research design, data analysis, modelling, visualization, and implementation across environmental and climate-related projects. He also contributes to academic and professional activities through conference participation, outreach, training, and scholarly associations.
Dr. Mukesh Ranjan is an Assistant Professor in the Department of Statistics at Pachhunga University College, Mizoram University. With over six years of teaching experience, he previously served at the Central University of South Bihar and Patna Women's College. He holds a PhD in Population Studies from the International Institute for Population Sciences (IIPS), Mumbai, and earned gold medals in both MSc (Statistics) from Patna University and MPhil (Population Studies) from IIPS. Dr. Ranjan has published nearly 30 research papers and authored a book. He contributed to policy documents for DLHS-4 reports for Arunachal Pradesh and Tamil Nadu and was honored with the Prof. K.B. Pathak award in 2018. His expertise includes demography, biostatistics, survival analysis, and public health. He recently received the FAST-SF Fellowship 2025 from INSA. He is proficient in STATA, SPSS, R, and MINITAB, and skilled in analyzing large-scale survey data such as NFHS, NSS, and IHDS. Dr. Ashutosh Singh is an Assistant Professor in the Department of Geography at Hemvati Nandan Bahuguna Garhwal University, Srinagar Tehri Campus, Uttarakhand, India. He earned his doctoral degree in 2014 from Banaras Hindu University, focusing on integrated watershed management and sustainable development. In 2015, he was awarded the Dr. Sarvepalli Radhakrishnan Post Doctoral Fellowship in Humanities and Social Sciences by the University Grants Commission. Dr. Singh has previously served as Assistant Professor at Pachhunga University College in Mizoram and at the Amity Institute of Geoinformatics and Remote Sensing in Noida. He has authored and edited books and published 26 research papers in reputed journals. He has presented at more than two dozen national and international conferences and organized six academic conferences and webinars. His research interests include watershed and natural resource management, sustainable development, and integrated rural development. He is a life member of several national geographical and academic associations. Dr. Sana Rafi is an Assistant Professor in the Department of Geography at H.N.B. Garhwal University, Srinagar Tehri Campus, Uttarakhand, India. She earned her doctoral degree in climate hazards from Jamia Millia Islamia University, Delhi. Her research interests include climate variability and change, disaster and environmental management, urban studies, spatial data management, sustainable development, resilience building, artificial intelligence, and geospatial technology. Dr. Rafi has held teaching and academic roles at several institutions including Jamia Millia Islamia, Ramanujan College at the University of Delhi, and Indira Gandhi National Open University. She's also worked with Avanti Fellows, Epsilon Learning Solutions, Garuda Unmanned Aerial Vehicles, and the National Institute of Disaster Management. She has published 14 research papers and 6 book chapters, presented at numerous conferences, and authored a book. A gold medalist in her academic degrees, she recently received the Young Scientist Award from the Uttarakhand State Council for Science and Technology. Dr. Mahendra Singh is an Assistant Professor in the Department of Geography, Hemavati Nandan Bahuguna Garhwal University (A Central University), S.R.T. Campus, Tehri, Uttarakhand, India. He has been awarded Ph.D. in Geography from Kumaon University, Nainital, India. His fields of interest are Rain-fed Hydrology, Sustainable Environmental Development, and GIS and Remote Sensing. Before joining H.N.B. Garhwal University, he was an Assistant Professor at Uttarakhand Open University, Haldwani, Uttarakhand, India. He has published more than 25 research papers in different renowned national and international journals/edited books and presented more than 20 research papers in National/International conferences/ seminars. He is an awardee of UGC NET-JRF from the University Grants Commission (UGC), New Delhi, India.
Dr. Mukesh Ranjan is an Assistant Professor in the Department of Statistics at Pachhunga University College, Mizoram University. With over six years of teaching experience, he previously served at the Central University of South Bihar and Patna Women's College. He holds a PhD in Population Studies from the International Institute for Population Sciences (IIPS), Mumbai, and earned gold medals in both MSc (Statistics) from Patna University and MPhil (Population Studies) from IIPS. Dr. Ranjan has published nearly 30 research papers and authored a book. He contributed to policy documents for DLHS-4 reports for Arunachal Pradesh and Tamil Nadu and was honored with the Prof. K.B. Pathak award in 2018. His expertise includes demography, biostatistics, survival analysis, and public health. He recently received the FAST-SF Fellowship 2025 from INSA. He is proficient in STATA, SPSS, R, and MINITAB, and skilled in analyzing large-scale survey data such as NFHS, NSS, and IHDS. Dr. Ashutosh Singh is an Assistant Professor in the Department of Geography at Hemvati Nandan Bahuguna Garhwal University, Srinagar Tehri Campus, Uttarakhand, India. He earned his doctoral degree in 2014 from Banaras Hindu University, focusing on integrated watershed management and sustainable development. In 2015, he was awarded the Dr. Sarvepalli Radhakrishnan Post Doctoral Fellowship in Humanities and Social Sciences by the University Grants Commission. Dr. Singh has previously served as Assistant Professor at Pachhunga University College in Mizoram and at the Amity Institute of Geoinformatics and Remote Sensing in Noida. He has authored and edited books and published 26 research papers in reputed journals. He has presented at more than two dozen national and international conferences and organized six academic conferences and webinars. His research interests include watershed and natural resource management, sustainable development, and integrated rural development. He is a life member of several national geographical and academic associations. Dr. Sana Rafi is an Assistant Professor in the Department of Geography at H.N.B. Garhwal University, Srinagar Tehri Campus, Uttarakhand, India. She earned her doctoral degree in climate hazards from Jamia Millia Islamia University, Delhi. Her research interests include climate variability and change, disaster and environmental management, urban studies, spatial data management, sustainable development, resilience building, artificial intelligence, and geospatial technology. Dr. Rafi has held teaching and academic roles at several institutions including Jamia Millia Islamia, Ramanujan College at the University of Delhi, and Indira Gandhi National Open University. She's also worked with Avanti Fellows, Epsilon Learning Solutions, Garuda Unmanned Aerial Vehicles, and the National Institute of Disaster Management. She has published 14 research papers and 6 book chapters, presented at numerous conferences, and authored a book. A gold medalist in her academic degrees, she recently received the Young Scientist Award from the Uttarakhand State Council for Science and Technology. Dr. Mahendra Singh is an Assistant Professor in the Department of Geography, Hemavati Nandan Bahuguna Garhwal University (A Central University), S.R.T. Campus, Tehri, Uttarakhand, India. He has been awarded Ph.D. in Geography from Kumaon University, Nainital, India. His fields of interest are Rain-fed Hydrology, Sustainable Environmental Development, and GIS and Remote Sensing. Before joining H.N.B. Garhwal University, he was an Assistant Professor at Uttarakhand Open University, Haldwani, Uttarakhand, India. He has published more than 25 research papers in different renowned national and international journals/edited books and presented more than 20 research papers in National/International conferences/ seminars. He is an awardee of UGC NET-JRF from the University Grants Commission (UGC), New Delhi, India.
Editor
Research Scientist, Atmospheric Sciences Group, Department of Geosciences, Texas Tech University, Lubbock, TX, USA
Asst. Professor, Department of Statistics, Pachhunga University College, Mizoram University, Aizawl, Mizoram, India
Asst. Professor, Department of Geography, H.N.B. Garhwal University, New Tehri, India
Asst. Professor, Department of Geography, H.N.B. Garhwal University, New Tehri, India
Asst. Professor, Department of Geography, H.N.B. Garhwal University, New Tehri, India
Content
Part I: Foundations of Geostatistics in Environmental and Health Sciences
1. Introduction to Geostatistics
2. Geospatial Data Sources and Preprocessing
3. Spatial Autocorrelation and Variogram Analysis
Part II: Geostatistical Techniques and Applications
4. Kriging and Interpolation Methods
5. Spatio-Temporal Modeling in Environmental Health
6. Bayesian Spatial Models and Hierarchical Frameworks
Part III: Case Studies and Domain-Specific Applications
7. Geostatistics in Air Pollution and Respiratory Health
8. Waterborne Diseases and Sanitation Risk Mapping
9. Vector-Borne Disease Surveillance and Risk Modeling
10. Climate Change, Heatwaves, and Vulnerability Assessment
Part IV: Tools, Policies, and Future Directions
11. Geostatistical Software Tools and Computational Techniques
12. Quality Assurance, Ethics, and Data Governance
13. Policy Integration and Decision Support Systems
14. Future Trends and Research Frontiers in Geostatistical Health Analysis
1. Introduction to Geostatistics
2. Geospatial Data Sources and Preprocessing
3. Spatial Autocorrelation and Variogram Analysis
Part II: Geostatistical Techniques and Applications
4. Kriging and Interpolation Methods
5. Spatio-Temporal Modeling in Environmental Health
6. Bayesian Spatial Models and Hierarchical Frameworks
Part III: Case Studies and Domain-Specific Applications
7. Geostatistics in Air Pollution and Respiratory Health
8. Waterborne Diseases and Sanitation Risk Mapping
9. Vector-Borne Disease Surveillance and Risk Modeling
10. Climate Change, Heatwaves, and Vulnerability Assessment
Part IV: Tools, Policies, and Future Directions
11. Geostatistical Software Tools and Computational Techniques
12. Quality Assurance, Ethics, and Data Governance
13. Policy Integration and Decision Support Systems
14. Future Trends and Research Frontiers in Geostatistical Health Analysis