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Earthquake Prediction and Seismicity Patterns

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Cover of 'Earthquake Prediction and Seismicity Patterns'

Table of Contents

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    Book Overview
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    Chapter 1 Editor’s Note
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    Chapter 2 Seismic Gaps and Plate Tectonics: Seismic Potential for Major Boundaries
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    Chapter 3 Seismic Gaps and Source Zones of Recent Large Earthquakes in Coastal Peru
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    Chapter 4 Two Kinds of Seismic Gaps
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    Chapter 5 The Oaxaca Gap: A Case History
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    Chapter 6 Seismic Quiescence Precursory to a Past and a Future Kurile Island Earthquake
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    Chapter 7 Seismicity Variations in the Makran Region of Pakistan and Iran: Relation to Great Earthquakes
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    Chapter 8 On Chinese Earthquake History — An Attempt to Model an Incomplete Data Set by Point Process Analysis
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    Chapter 9 Space-Time Migration of Earthquakes Along the North Anatolian Fault Zone and Seismic Gaps
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    Chapter 10 Spectral Analysis of Earthquake Migration in South America
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    Chapter 11 A Preliminary Study on the Relationship between Precipitation and Large Earthquakes in Southern California
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    Chapter 12 Anomalous Crustal Strain Prior to the 1923 Kanto, Japan, Earthquake as Deduced from Analysis of Old Triangulation Data
Attention for Chapter 9: Space-Time Migration of Earthquakes Along the North Anatolian Fault Zone and Seismic Gaps
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Citations

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Chapter title
Space-Time Migration of Earthquakes Along the North Anatolian Fault Zone and Seismic Gaps
Chapter number 9
Book title
Earthquake Prediction and Seismicity Patterns
Published by
Birkhäuser, Basel, January 1979
DOI 10.1007/978-3-0348-6430-5_9
Book ISBNs
978-3-03-486432-9, 978-3-03-486430-5
Authors

M. N. Toksöz, A. F. Shakal, A. J. Michael

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Bachelor 1 17%
Unknown 2 33%
Readers by discipline Count As %
Earth and Planetary Sciences 3 50%
Unknown 3 50%

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