Towards urbanistic geosituation delineation

Keywords: geosituation, urbogeosystem, geosituational pattern, urbanistic configuration, urban environment, urban studies, GIS, LiDAR data


Introduction. Modern cities are complex and rapidly expanding systems. For their more effective study, it is necessary to use methods of urban remote sensing, in particular, LiDAR survey. Processed LiDAR survey data, visualized in a 3D scene, model a certain urban configuration that represents a static picture of the relationships between objects, processes and phenomena in the urban environment. The representation of such configurations in the dynamic plane are urbanistic geosituations.

The main research objective of the paper is to define the concept and present the essence of the urbanistic geosituation.

Results. The urbanistic geosituation is a dynamic aspect of a certain state of the urban environment, in which there are objects, processes and phenomena that are in dialectical unity with this urban environment. The urbanistic geosituation can be represented as a separate area of the urban environment in a certain research context with a specific state that is currently not inherent in other areas.

The article describes in detail the property of the structural heredity of geosituations, which can be traced during the growth of cities. New buildings and roads are laid out taking into account the existing layout, thus inheriting the structure of the original geosituations.

On the example of the city of Washington using 2D and 3D maps, the article discusses the features of identifying inherited urbanistic geosituations using the general functionality of visual analysis. On the example of the city of Kharkiv are described urban problems that arise as a result of unplanned development and ignoring the structural heredity of urbanistic geosituations.

Repeating geosituations with common properties and internal configurations are combined into different rank geosituational patterns, which are tracked on city maps with the naked eye. The higher the rank of the pattern, the more stable it is, and the larger territories it covers in terms of more generalized properties. The formation of geosituations patterns is successfully combined with the feature of collecting and storing LiDAR data, which are divided into many areas of the same size – tiles.

An important property of urbanistic geosituations is their variability, which manifests itself in the city study in the context of the daily population concentration. Diverse internal urban processes and phenomena often lead to the emergence of urbanistic geosituations that characterize the temporary gravity centers of the population.

To search, identify and analyze urbanistic geosituations, it is necessary to use two key components – global coverage maps and geographic information systems (GIS). The article describes a special web-GIS that combines these components and provides an environment for exploring urbanistic geosituations in a 3D scene. Three use-cases are also proposed for analyzing urban systems at the geosituational level: visibility analysis, buildings energy consumption estimation, and population estimation [11, 21].

Conclusions. The geosituational approach in urban research can significantly improve the urban environment study. The repeatability of urban geosituations and the small data sets that can be obtained using LiDAR surveys provide grounds for their effective analysis and visualization in GIS, as a result of which it is possible to extract urban geosystem properties that can be relevant for the entire city.


Download data is not yet available.

Author Biographies

Denys Serohin, V. N. Karazin Kharkiv National University

PhD Student

Sergiy Kostrikov, V. N. Karazin Kharkiv National University

DSc (Geography), Professor


Bartie P. Reitsma F. [and other]. (2010). Advancing visibility modelling algorithms for urban environments. Com-puters, Environment and Urban Systems. 34, 518-531. DOI:

Benedikt M.L. (1979). To take hold of space: isovists and isovist fields. Environment and Planning B. 6, 47-65. DOI:

Cheer, B.C. (2017). Urban morphology as a research method. Planning Knowledge and Research: NewYork, NY, USA. 167-181, DOI:

Czyńska, K. (2015). Application of Lidar Data and 3D-City Models in Visual Impact Simulations of Tall Buildings. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-7/W3, 1359-1366, DOI:

De Floriani, L., Magillo P. (1999). Intervisibility on terrains. Geographic Information Systems: Principles, Tech-niques, Management and Applications. John Wiley & Sons, 543-556

Jiang, B., Claramunt, C. (2005). Integration of space syntax into GIS: new perspectives for urban morphology. Transactions in GIS. 6(3), 295-309, DOI:

Kostrikov S., Pudlo R., Bubnov D., Vasiliev V. (2020). ELiT, multifunctional web-software for feature extraction from 3D LiDAR point clouds. ISPRS International Journal of Geo-Information. 9(11), 650-885, DOI:

Kostrikov, S., Niemets, L., Sehida, K. [and other]. (2018) Geoinformation approach to the urban geographic sys-tem research (case studies of Kharkiv region). Visnyk of V.N. Karazin Kharkiv National University. Series “Geolo-gy. Geography. Ecology”, 49, 107-121. DOI:

Kostrikov, S., Pudlo, R., Kostrikova, A. [and other]. (2019). Studying of urban features by the multifunctional ap-proach to LiDAR data processing. IEEE Xplore Digital Library. Electronic ISSN: 2642-9535, DOI:

Kostrikov S, Bubnov D, Pudlo R. (2020). Urban environment 3D studies by automated feature extraction from Li-DAR point clouds. Visnyk of V. N. Karazin Kharkiv National University, series “Geology. Geography. Ecology”, 52, 156-182. DOI:

Kostrikov S., Seryogin D. (2022). Urbogeosystemic Approach to Agglomeration Study within the Urban Remote Sensing Frameworks. Urban Agglomeration: INTECH Open. 1-23, DOI:

Natapov A. Czamanski D., Fisher-Gewirtzman D. (2013). Can visibility predict location? Visibility graph of food and drink facilities in the city. Survey Review, 45, 462-471, DOI:

Rana S, Batty M. (2004). Visualising the structure of architectural open spaces based on shape analysis. Interna-tional Journal of Architectural Computing, 18, 1123-1132, DOI:

Rubtsov V.A. Gabdrakhmanov N.K., Mustafin M.R. [and other]. (2015). Field theory in Geography and stable structure of geoformations. Mediterranean Journal of Social Sciences, 6(3), 673-677, DOI:

Samoilenko V., Dibrova I. (2019). Geoecological situation in land use. Journal of Environmental Research, Engi-neering and Management, 75(2), 36-46, DOI:

Stephen S., Li W., Hahmann T. (2022). Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs. arXiv preprint arXiv:2206.13658, DOI:

Tobler W.R. (1965). Computation of the correspondence of geographical patterns. Papers of the Regional Science Association, 15, 131-139, DOI:

Trofimov A., Pianova O. (1997). Social-Economucal Situation Analysis. 10th Europ. Colloq. of Theoretical and Quantitative Geography. Rostock, Germany. Inst. of Regional Geography, Leipzig, 86-88

Zvolinski A. (2014). A day in a shadow of high-rise: 3D parameterization and use of public space around pżm / hotel radisson building complex in center of Szczecin. Architecture et Artibus, 1, 67-71

Bezruk V.A., Kostrikov S.V., Chuiev O.S. (2016). Optimizing allocation of catering institution establishments through the urbogeosystem GIS-analysis (case study of Kharkiv). Human Geography Journal, 21(2), 91-101 [in Ukrainian]

Kostrikov S., Serohin D., Berezhnoy V. (2021). Visibility analysis of the urbanistic environmet as a constituent of the urbogeosystems approach. Human Geography Journal, 30(1), 7-23, DOI: [in Ukrainian]

Kostrikov S.V., Serohin D.S., Kravchenko K.O. (2022). Workshop on creating GIS maps, spatial analysis and geo-processing on full-format GIS platforms (using the example of ArcGIS 10.2 and QGIS 3.16): Educational and methodological manual for university students. Kharkiv, 499 [in Ukrainian]

Serohin D.S. (2019). Analysis of urbogeosystemic properties of the spatial and geographic extent of Washington through GIS-modeling based on LiDAR data processing: master's thesis. Kharkiv, 105 [in Ukrainian]

Serohin D.S. (2021). GIS-modeling and 3D-visualization of the city buildings in the Mapbox web-GIS environment. Region 2021: Human–Geographical aspects. Proceedings of the International Conference for young scientists and post–graduate students. Kharkiv, 157-159 [in Ukrainian]

Chuiev O.S., Kostrikov S.V. (2015). City well-being spatial differentiation as the urbogeosystem function assess-ment with GIS-tools (case study of Kharkiv). Human Geography Journal, 18(1), 52-62, DOI: [in Ukrainian]

How to Cite
Serohin, D., & Kostrikov, S. (2023). Towards urbanistic geosituation delineation. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (58), 241-256.