№3 (2023) УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2023-3-63-70 Baglaeva E.M., Sergeev A.P., Shichkin A.V., Buevich A.G., Butorova A.S. Key words: representativeness of points, sampling, heavy metals, artificial neural networks, choice of training subset Section: Geoecology
№3 (2023) УДК 505.53 https://doi.org/10.47148/1609-364X-2023-3-44-54 Berdengalieva A.N. Key words: intrazonal landscapes, GIS technologies, remote sensing, types of land cover, Volga-Akhtuba floodplain, Volga delta Section: Application of GIS technologies
№2 (2021) УДК 528:551.4DOI: 10.47148/1609-364X-2021-2-59-66 A.E. Pshenichnikov, K.N. Dektyarev Key words: geomorphological mapping, digital elevation model, Malaya Sosva. Section: Modeling geo objects and geo-processes
№3 (2020) УДК 004.9DOI: 10.47148/1609-364X-2020-3-2-9 Shemyakin A.S.,Kashulin N.A.,Petrova O.V. Keywords: hydrochemical information, GIS, QGIS, GIS portal. Section: Application of GIS technologies
№2 (2018) Nikiforov S.L.,Koshel S.M.,Libina N.V. Section: Modeling geo objects and geo-processes Keywords: digital elevation model, bottom, Arctic, shelf, White Sea, Barents Sea, marine geophysics, geology, geomorphology.
Modified algorithmic system FCAZm and strong earthquake-prone areas in California.Dzeboev B.A., Krasnoperov R.I., Belov I.O., Barykina Yu.V., Vavilin E.V. … » Recognition of strong (М ≥ 6½) earthquake-prone areas in California has been performed using the modified version (FCAZm) of the original … Continue reading →
№2 (2019) Koshel S.M.,Entin A.L.,Samsonov T.E. Section: Modeling geo objects and geo-processes Keywords: digital elevation model; hydrological analysis; pre-processing; closed depressions; depression treatment; filling.
Capabilities of ArcGIS tools for structure analysis of power grids.Karpachevsky A.M., Novakovsky B.A. … » The paper deals with the basic concepts of network analysis in relation to electric networks, as well as the possibility of modules and geographic information … Continue reading →