"Geographic Information Systems: Data Science Approach" ed. by Rifaat Abdalla

This book presents a pioneering exploration at the intersection of GIS and data science, providing a comprehensive view of their symbiotic relationship and transformative potential. It encapsulates advanced methodologies, real-world applications, and interdisciplinary approaches that redefine how we perceive and utilize spatial data.

Dive into the dynamic world of Geographic Information Systems (GIS) and data science with our comprehensive book in which innovation and insights converge. Offering a gateway to cutting-edge research and practical insights, this book serves as a crucial resource for scholars, practitioners, and enthusiasts alike. It addresses pressing challenges across diverse domains, from environmental studies to public health and predictive analytics, demonstrating the paramount significance of integrating GIS with data science methodologies. It is an essential compass guiding readers toward a deeper understanding and application of these dynamic fields in today's data-driven world.

Contents
1. Evaluating Satellite Image Classification: Exploring Methods and Techniques
2. Programming an Interactive Map to Enhance Clients’ Participation in Site Selection of E-Marketing in Cairo and Giza Governorates: Egypt
3. Visualization and Machine Learning Prediction of Spatiotemporal Spread of COVID-19 in India
4. The Synergy of Data Science, GIS Spatial Analysis and Knowledge Management as a Path to Sustainability Insights
5. Remote Sensing and GIS Applications in Wildfires
6. Spatial Cloud Computing Using Google Earth Engine and R Packages
7. A Probabilistic Approach for Road Network Analysis
8. Applications of Geotechnologies in the Field of Public Health
9. Land Use and Land Cover Simulation


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