№3 (2024)

DOI:10.47148/1609-364X-2024-3 Theoretical and methodological bases for visualizing geospatial data, linked data and multimedia data without programmingKukharenko E.L..Development of a GIS-module for analog search using an analytical no-code-platformProzorova G.V., Kling E.E. Application of machine learning classification algorithms to predict probability of channel … Continue reading

№2 (2024)

DOI:10.47148/1609-364X-2024-2 Study of the structure of land in the 18th–21st centuries using GIS technology methods in Kenozersky national parkKozykin A.V., Nakvasina E.N. Analysis of relation between seismicity and features of potential fields within the Lena-Anabar trough: experience of usage modern GIS-technologiesKulyandina … Continue reading

№1 (2024)

DOI:10.47148/1609-364X-2024-1 Development of a methodology for empirical scientific research using standard libraries of automatic machine learning on the example of predicting oil and gas reservoirs in the Tomsk RegionOstanin V.A.  Geoinformation model for risk management in Burundi Ndikumana E., Istomin E.P., Yagotinceva N.V. … Continue reading

Geoinformation modeling of city lawns

№ 4 (2023) Vagizov M.R., Dvadtsatova T.V., Melnichuk I.A. УДК 004.94 https://doi.org/10.47148/1609-364X-2023-4-29-38 Key words: geoinformation modeling, urban lawns, urban environment modeling technologies, geoinformatics Section: Modeling geo objects and geo-processes