Functional systematization and conceptual sequence of applying geoinformation methods to spatial planning tasks in territorial communities
DOI:
https://doi.org/10.31548/Keywords:
geographic information systems, spatial analysis, geoinformation modeling, territorial communities, spatial planning, Earth observation, multicriteria analysis, GeoAIAbstract
The article presents a system analysis and functional classification of modern geoinformation methods used to address spatial planning tasks in territorial communities. The aim of the study is to determine the functional purpose of geoinformation methods and to develop a conceptual sequence for their selection and combination depending on the type of spatial planning task, the composition of input geospatial data, and the expected spatial result. The methodological basis of the study comprised system and comparative analysis, classification and generalization methods, as well as conceptual modelling.
Based on the research results, eight functional groups of geoinformation methods were identified: spatial integration and overlay analysis; proximity and buffer-zone analysis; network analysis and spatial accessibility assessment; spatial statistics and geostatistical modelling; remote sensing monitoring and change analysis; land suitability assessment and multicriteria spatial analysis; scenario modelling; and GeoAI (Geospatial Artificial Intelligence) and machine learning methods. Correspondence was established between spatial planning tasks, input geospatial data, data processing methods, and the resulting spatial outputs. It was determined that complex spatial development tasks require the sequential or integrated combination of several functional groups of methods.
A conceptual sequence “spatial planning task → input geospatial data → analysis or modelling method → spatial result → result validation → planning decision” was developed, which can be used for the structured selection and combination of geoinformation methods. The integration of Earth observation data, UAV imagery, spatial statistics and geostatistical modelling, spatial modelling, and GeoAI was identified as a promising direction. Intelligent methods are considered complementary to traditional geoinformation analysis, provided that input data quality, interpretability, and spatial validation of the results are ensured.
The practical significance of the obtained results lies in the possibility of using the proposed functional classification and conceptual sequence for the structured selection and combination of geoinformation methods when addressing spatial planning tasks in territorial communities. The obtained results are conceptual and methodological in nature, while their practical validation using data from specific territorial communities constitutes a direction for further research.
Received: 01.10.2026;
Accepted: 15.10.2026;
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