Scientific and Methodological Foundations of Using Simulation Models in Natural Geographical Research
DOI:
https://doi.org/10.37547/ijasr-06-06-08Keywords:
Natural geography, simulation model, geographical researchAbstract
The increasing complexity of natural geographical processes requires research methods that can represent spatial dynamics, temporal variability, uncertainty and interaction among environmental components. Simulation models have become an important scientific and methodological instrument in natural geographical research because they make it possible to reproduce the behaviour of natural systems under different conditions, test hypothetical scenarios and forecast possible changes in landscapes, climate, hydrological regimes and geomorphological processes. This article analyses the scientific and methodological foundations of using simulation models in natural geography. The study focuses on the conceptual meaning of simulation modelling, its methodological functions, stages of application, data requirements, validation procedures and epistemological limitations. The article argues that simulation models do not replace field research, cartographic analysis or remote sensing, but integrate them into a coherent analytical system. The methodological value of simulation models lies in their ability to transform empirical data into dynamic scientific explanation. At the same time, the reliability of such models depends on the quality of input data, correctness of assumptions, calibration procedures, sensitivity analysis and interpretation of results within the geographical context. The article concludes that simulation modelling is one of the key methodological directions in modern natural geography and should be used as an interdisciplinary tool combining geographical theory, GIS technologies, mathematical modelling and environmental monitoring.
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