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This special issue emerged following the 2013 8th International Statistical Seismology (StatSei8) workshop in Beijing. The articles within have been collected to report on exciting new research in statistical seismology methods and applications; it contains a collection of the newest methods, techniques and results related to statistical analysis of earthquake occurrence and earthquake probability forecasting. The articles within ultimately help to define future research directions in the field. Especially, the rapid development of observation technologies has brought geophysical research into the big-data era. This includes not only non-seismicity geophysical data, such as GPS observation on surface displacement, InSAR observation of the co-seismic deformation, ionospheric observations, etc., but also extended seismological data including slow earthquakes, tremor, and VLF earthquakes.
The subject of statistical seismology bridges the gap between physical and statistical models. Many significant achievements have been accomplished during the last several decades, including formulation of conditional intensity models for quantifying seismicity rates, earthquake probability forecasts, and theories related to rigorous testing of forecast models.
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This special issue emerged following the 2013 8th International Statistical Seismology (StatSei8) workshop in Beijing. The articles within have been collected to report on exciting new research in statistical seismology methods and applications; it contains a collection of the newest methods, techniques and results related to statistical analysis of earthquake occurrence and earthquake probability forecasting. The articles within ultimately help to define future research directions in the field. Especially, the rapid development of observation technologies has brought geophysical research into the big-data era. This includes not only non-seismicity geophysical data, such as GPS observation on surface displacement, InSAR observation of the co-seismic deformation, ionospheric observations, etc., but also extended seismological data including slow earthquakes, tremor, and VLF earthquakes.
The subject of statistical seismology bridges the gap between physical and statistical models. Many significant achievements have been accomplished during the last several decades, including formulation of conditional intensity models for quantifying seismicity rates, earthquake probability forecasts, and theories related to rigorous testing of forecast models.
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Current Challenges in Statistical Seismology
Verlag:
Springer International Publishing, 2016
ISBN 10: 3319289667
ISBN 13: 9783319289663
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thisspecial issue emerged following the 2013 8th International StatisticalSeismology (StatSei8) workshop in Beijing. The articles within have beencollected to report on exciting new research in statistical seismology methodsand applications; it contains a collection of the newest methods, techniquesand results related to statistical analysis of earthquake occurrence andearthquake probability forecasting. The articles within ultimately help todefine future research directions in the field. Especially, the rapiddevelopment of observation technologies has brought geophysical research intothe big-data era. This includes not only non-seismicity geophysical data, suchas GPS observation on surface displacement, InSAR observation of the co-seismicdeformation, ionospheric observations, etc., but also extended seismologicaldata including slow earthquakes, tremor, and VLF earthquakes. The subjectof statistical seismology bridges the gap between physical and statisticalmodels. Many significant achievements have been accomplished during the lastseveral decades, including formulation of conditional intensity models forquantifying seismicity rates, earthquake probability forecasts, and theoriesrelated to rigorous testing of forecast models. Artikel-Nr. 9783319289663
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Current Challenges in Statistical Seismology
Verlag:
Springer International Publishing, 2016
ISBN 10: 3319289667
ISBN 13: 9783319289663
Neu
Taschenbuch
Anbieter: preigu, Osnabrück, Deutschland
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Taschenbuch. Zustand: Neu. Current Challenges in Statistical Seismology | Qinghua Huang (u. a.) | Taschenbuch | vi | Englisch | 2016 | Springer International Publishing | EAN 9783319289663 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 104058671
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Current Challenges in Statistical Seismology
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | Thisspecial issue emerged following the 2013 8th International StatisticalSeismology (StatSei8) workshop in Beijing. The articles within have beencollected to report on exciting new research in statistical seismology methodsand applications; it contains a collection of the newest methods, techniquesand results related to statistical analysis of earthquake occurrence andearthquake probability forecasting. The articles within ultimately help todefine future research directions in the field. Especially, the rapiddevelopment of observation technologies has brought geophysical research intothe big-data era. This includes not only non-seismicity geophysical data, suchas GPS observation on surface displacement, InSAR observation of the co-seismicdeformation, ionospheric observations, etc., but also extended seismologicaldata including slow earthquakes, tremor, and VLF earthquakes. The subjectof statistical seismology bridges the gap between physical and statisticalmodels. Many significant achievements have been accomplished during the lastseveral decades, including formulation of conditional intensity models forquantifying seismicity rates, earthquake probability forecasts, and theoriesrelated to rigorous testing of forecast models. Artikel-Nr. 26372183/12
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