Search Results for: "recognition of strong earthquake-prone areas"

Modified algorithmic system FCAZm and strong earthquake-prone areas in California.

№2 (2018) Dzeboev B.A.,Krasnoperov R.I.,Belov I.O., Barykina Yu.V.,Vavilin E.V. Section: Geoinformation systems Keywords: recognition of strong earthquake-prone areas, clustering, EPA (earthquake-prone areas), Discrete Mathematical Analysis (DMA), DPS (Discrete Perfect Sets) algorithm, FCAZ (Formalized Clustering And Zoning) algorithmic system.