Knowledge discovery in big data from astronomy and Earth observation : astrogeoinformatics /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Skoda, Petr, Adam, Fathalrahman
Formato: Electrónico eBook
Idioma:Inglés
Publicado: St. Louis, Mo : Elsevier, 2020.
Temas:
Astronomy > Data processing.
Big data.
Geoinformatics.
Donn�ees volumineuses.
Astronomy > Data processing
Big data
Geoinformatics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Knowledge Discovery in Big Data from Astronomy and Earth Observation
  • Copyright
  • Contents
  • List of Contributors
  • A Word from the BIG-SKY-EARTH Chair
  • Preface
  • What's in This Book?
  • Motivation and Scope
  • Acknowledgments
  • Part I: Data
  • 1 Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics
  • 1.1 Introduction
  • 1.2 Knowledge Discovery Processes
  • 1.3 Methodologies for Knowledge Discovery Processes
  • 1.3.1 First Attempt to Generalize Steps
  • Research-Based Methodology
  • 1.3.2 Industry-Based Standard
  • the Success of CRISP-DM
  • 1.3.3 Proprietary Methodologies
  • Usage of Speci c Tools
  • 1.3.4 Methodologies in Big Data Context
  • 1.4 Methodologies in Action
  • 1.4.1 Standardization and Automation of Processes
  • Process Models
  • 1.4.2 Understanding Each Other
  • Semantic Models
  • 1.4.2.1 Example
  • EXPO
  • 1.4.2.2 Example
  • OntoDM
  • 1.4.3 Knowledge Discovery Processes in Astro/Geo Context
  • 1.4.3.1 Process Modeling Aspects
  • 1.4.3.2 Ontology-Related Aspects
  • References
  • 2 Historical Background of Big Data in Astro and Geo Context
  • 2.1 History of Big Data and Astronomy
  • 2.1.1 Big Data Before Printing and the Computer Age
  • 2.1.2 The Printing and Technological Renaissance Revolution
  • 2.2 Big Data and Meteorology: a Long History
  • 2.2.1 Early Meteorology
  • 2.2.2 Birth of International Synoptic Meteorology
  • 2.2.3 Next Step: Extension of Data Collection to the Entire Globe
  • References
  • Part II: Information
  • 3 AstroGeoInformatics: From Data Acquisition to Further Application
  • 3.1 Introduction
  • 3.2 Background
  • 3.3 Remote Sensing
  • 3.3.1 Passive Sensing
  • 3.3.2 Active Sensing
  • 3.4 Big Data in Astro- and Geoinformatics
  • 3.5 From Data Acquisition to Applications
  • 3.6 Galileo Applications
  • 3.7 Galileo and Smart Cities
  • 3.8 Conclusion
  • References
  • 4 Synergy in Astronomy and Geosciences
  • 4.1 Introduction
  • 4.1.1 Basic Data Operations
  • 4.1.2 Coordinate Transformations
  • 4.1.3 Distance Measurements
  • 4.1.4 One-Dimensional Series
  • 4.2 State of the Art: VESPA Initiative of Bringing Together IVOA, IPDA (PDS), and OGC
  • 4.2.1 Standards and Software
  • 4.2.2 VESPA
  • Virtual Observatory for Planetary Science
  • 4.3 Case Studies: Interoperability of Virtual Observatory and Geographical Information Systems
  • 4.3.1 Geographical Data and Virtual Observatory
  • 4.3.2 Astronomical Data and Geographical Information Systems
  • 4.4 Perspectives and Possibilities
  • 4.5 Conclusions
  • References
  • 5 Surveys, Catalogues, Databases, and Archives of Astronomical Data
  • 5.1 Introduction
  • 5.2 From the First Star Photographic Catalogues to the Modern Digital Sky Surveys. Optical and Near-Infrared Astronomy
  • 5.2.1 First Important Visual Surveys and Catalogues
  • 5.2.2 Photographic Observations. Stellar and Extragalactic Surveys
  • 5.2.3 Spectral Photographic Surveys
  • 5.2.4 CCD Surveys

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