Suchergebnisse

High computer-intensity and complexity of the mechanisms for recalculating the coefficients of pricing factors affect the process of calculating the cadastral value. To solve these problems, the study substantiates the use of polygonal metric grid method to determine the values of pricing factors of the cadastral value of land plots using St. Petersburg as an example. In local modeling, the algorithm implementing the polygonal metric grid method showed a decrease in the number of operations by 49,999% compared to the approach applied for 2018 state cadastral valuation in St. Petersburg. Calculations showed that the storage of a polygonal metric grid requires 16 GB less than that of all auxiliary information (attributes and spatial reflection of the zone of influence of each factor) required for modeling. Thus, the technological effect of the introduction of a polygonal metric grid method into the process of cadastral valuation of real estate makes it possible to make efficient use of computing power, as well as to reduce the time for recalculating the values of pricing factors if some new objects of valuation emerge.