03968nam 2200877z- 450 991067436960332120231214133221.0(CKB)5690000000012032(oapen)https://directory.doabooks.org/handle/20.500.12854/87480(EXLCZ)99569000000001203220202207d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierStatistics and Pattern Recognition Applied to the Spatio-Temporal Properties of SeismicityBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (180 p.)3-0365-4263-9 3-0365-4264-7 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. The occurrence of strong earthquakes (mainshocks) is analyzed from different perspectives in this Special Issue.Technology: general issuesbicsscEnvironmental science, engineering & technologybicsscsystem-analytical methodearthquake-prone areaspattern recognitionclusteringmachine learningearthquake catalogshigh seismicity criteriatidal triggering of earthquakesseismic cyclecoulomb failure stresspreparatory phaseseismic predictionearthquake forecastingprecursorsstatistical seismologyearthquake likelihood modelsseismicity patternsNew ZealandCaliforniasmoothed seismicity methodsglobal seismicityforeshocks and aftershocksearthquake forecasting modelstatistical methodsmagnitude-frequency distributioncorner magnitudetapered Paretotapered Gutenberg-Richterepidemic type aftershock sequence modelextreme value distributionBayesian predictive distributionseismicity clusteringDBSCAN algorithmmarkovian arrival processesnumerical modelingearthquake simulatorearthquake clusteringnorthern and central ApenninesTechnology: general issuesEnvironmental science, engineering & technologyGentili Stefaniaedt1338656Giovambattista Rita DiedtShcherbakov RobertedtVallianatos FilipposedtGentili StefaniaothGiovambattista Rita DiothShcherbakov RobertothVallianatos FilipposothBOOK9910674369603321Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity3058893UNINA