Knowledge discovery in big data from astronomy and Earth observation astrogeoinformatics / edited by Petr Skoda, Fathalrahman Adam.

Format:

Book

Contributor:

Skoda, Petr.

Adam, Fathalrahman.

ScienceDirect (Online service)

Craig M. Merrihue Memorial Fund.

Language:

English

Subjects (All):

Astronomy--Data processing.

Astronomy.

Big data.

Geoinformatics.

Physical Description:

1 online resource

Place of Publication:

St. Louis, Mo : Elsevier, 2020.

System Details:

text file

Contents:

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

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

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

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

Notes:

Includes index.

Electronic reproduction. Amsterdam Available via World Wide Web.

Local Notes:

Acquired for the Penn Libraries with assistance from the Craig M. Merrihue Memorial Fund.

Other Format:

Print version:

ISBN:

9780128191552

0128191554

Publisher Number:

99987470424

Access Restriction:

Restricted for use by site license.