Использование предиктивной геоинформационной модели для оценки рыночной стоимости земельных участков в экспертной системе

Abstract

When solving the task of market value evaluation, there is a problem associated with a set of data on the market value of land plots. In order to define real market value, a hypothesis was put forward that a model for predicting the land plot cadastral value would be effective for predicting an increase in the land plot market value as well. The research is aimed at determining the land plot market value, taking into account the spatial factor. The article analyzes the data of the land plot market value based on registered purchase and sale transactions. The results of the study showed that the location of land plots in relation to social infrastructure, federal highways, large settlements and reservoirs has a strong influence on the market value. Based on this, a mathematical model has been developed that uses a self-optimizing ruble method to determine the cost per square meter of land plot. The principle of the future software product operation is that in a special plugin, the user can select a land plot on the map or set its coordinates and get an investment attractiveness class, a hypothetical value of a land plot and profit for a given number of years.