Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed.

Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.

Addresses both astronomy and geosciences in parallel, from a big data perspectiveIncludes introductory information, key principles, applications and the latest techniquesWell-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields

1. Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics

2. Historical Background of Big Data in Astro and Geo Context

3. AstroGeoInformatics: from Data Acquisition to Further Application

4. Synergy between astronomy and geosciences

5. Surveys, Catalogues, Databases and Archives of Astronomical data

6. Surveys, Catalogues, Databases/Archives and State-of-The-Art Methods for Geospatial data processing

7. International Database of Neutron Monitor Measurements: Development and Applications

8. High Performance Techniques for Big Data Processing

9. Query Processing and Access Methods for Big Astro and Geo Databases

10. Real Time Stream Processing in Astronomy

11. Time Series

12. Time Series Analysis of Generally Irregularly Spaced Signals

13. When Evolutionary Computing Meets Astro- and Geo- Informatics

14. Learning in Big Data: Introduction to Machine Learning

15. Deep Learning- An Opportunity and a Challenge for Geo- and Astrophysics

16. Astro Geo Informatics - Visually Guided Classification of Time Series Data

17. Multiwavelength Astronomy: Examples of Data-Mining

18. Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images, Processing and Error Elimination

19. Big Astronomical Data Sets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software

20. Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and their Wavelet Analysis

21. Monitoring the Earth Ionosphere by Listening to GPS Satellites

22. Exploitation of Big Real-time GNSS Databases for Weather Prediction

23. Application of Big Databases of Radio Observation in Investigation of Ionosphere, Natural Disaster Prediction and Telecommunication

24. Influence on Life Applications of a Federated Astro-Geo Data Base