№2 (2023)

DOI:10.47148/1609-364X-2023-2 Geoinformation model of river meandering for predictive mappingLurie I.K., Lurie M.V.Distribution of alasses in the Lena-Amga interfluveShestakova A.A., Torgovkin Y.I. Modeling of the field of currents and sea level using the Cardinal software packageIstomin E.P., Petrov Ya.A., Martyn I.A.Calculation of impurity distribution using … Continue reading

№4 (2016)

Database of seismogenic sources of southern East Siberia based on the GIS «ActiveTectonics».Gladkov A.A., Lunina O.V. … » This work is dedicated to the creation the interactive database of seismogenic source of southern East Siberia, which is part of developed … Continue reading

№2 (2017)

Development of a map service for the provision of materials for laboratory work the students of Nizhnevartovsk State University.Sliva E.A. … » The article presents the analysis of the teaching materials on the discipline of Geoinformation systems, which are used … Continue reading

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.