ABOUT THE BOOK

In recent years, the geospatial community is experiencing an unprecedented growth in the geospatial data. This geospatial data merits novel scalable and intelligent Geospatial Analytics for handling and processing such a voluminous geospatial data. Geospatial data analytics consist of various tools and techniques to process, analyze and visualize multi-modal geospatial data from a variety of platforms such as location sensors, remote sensing, unmanned aerial vehicles, social media, and mobile devices.

The main goal of this book is to encourage academicians, researchers and practitioners to share and exchange their experiences and recent research in the field of scalable and intelligent geospatial analytics. The focus of the proposed book is to discuss the recent growth in the geospatial data and various challenges, novel architectures, design, and upcoming trends in scalable and intelligent geospatial analytics in various applications such as healthcare, finance, security, media, retail, travel etc. Moreover, the proposed book will also discuss several paradigms such as analysis of complex geospatial data, improved decision making, powerful and real/near-real time data analysis and processing for better visualization, geospatial interoperability, privacy, and legal issues in geospatial data management. All the aspects such as theoretical and practical contributions, simulated works, review, and case studies are welcomed. This will help the professional or researcher to design/ develop the optimal solutions considering the state-of-the-art techniques/technologies from the geospatial domain. The specific objectives of the book are:

• Assess the magnitude of recent growth in the geospatial data analytics in various domains.

• Understand the analytical and computational challenges posed and opportunities provided by the increased volume of the geospatial data.

• Review new trends in developing algorithms, tools, and techniques to analyze the big geospatial data.

• Identify various novel recent applications that demonstrate innovative ways of utilizing the big geospatial data for various real-world problems.

• Provide a vision to the geospatial community on the future trends in the scalable and intelligent geospatial analytics.

TOPICS COVERED (but not limited to)

1. Geospatial data acquisition, modeling, and analytics

2. Developments, challenges and opportunities in intelligent and scalable geospatial analytics

3. Geo-AI: Adaptation of Artificial Intelligence in geospatial domain

4. Advances in Spatio-Temporal data analysis

5. Geospatial semantics and interoperability

6. Knowledge discovery frameworks for geospatial data

7. Scalable data storage and retrieval techniques for geospatial data

8. High performance computing for data intensive geocomputations

9. Scalable geospatial analytics platforms

10. Geo-visualization and geo-visual analytics for big-geospatial data

11. Recent developments in web GIS, mapping services and applications

12. Internet of Things (IoT) and geospatial data analytics

13. Evaluation criteria and benchmarks in geospatial analytics

14. Role of geospatial analytics in national security

15. Geospatial analytics for sustainable agriculture, natural disasters, sustainable urban development,climate change, healthcare management and monitoring etc.