Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity

Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity

Gentili, Stefania
Di Giovambattista, Rita
Shcherbakov, Robert

Hardcover

General ScienceGeologyProbability & Statistics

ISBN10: 3036542639
ISBN13: 9783036542638
Publisher: Mdpi AG
Published: Jun 17 2022
Pages: 180
Weight: 1.30
Height: 0.63 Width: 6.69 Depth: 9.61
Language: English

Due to the significant increase in the availability of new data in recent years, as a result of the expansion of available seismic stations, laboratory experiments, and the availability of increasingly reliable synthetic catalogs, considerable progress has been made in understanding the spatiotemporal properties of earthquakes. The study of the preparatory phase of earthquakes and the analysis of past seismicity has led to the formulation of seismicity models for the forecasting of future earthquakes or to the development of seismic hazard maps. The results are tested and validated by increasingly accurate statistical methods. A relevant part of the development of many models is the correct identification of seismicity clusters and scaling laws of background seismicity. In this collection, we present eight innovative papers that address all the above topics.

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