Open AccessMETHODOLOGY OF DISCRETE SPATIAL-PARAMETRIC REAL ESTATE MARKET MODELLING
Author(s) -
С. Г. Стерник
Publication year - 2020
Publication title -
prikladnaâ matematika i voprosy upravleniâ
Language(s) - English
Resource type - Journals
eISSN - 2782-4500
pISSN - 2499-9873
DOI - 10.15593/2499-9873/2020.4.10
Subject(s) - real estate , parametric statistics , econometrics , interpolation (computer graphics) , cost approach , computer science , real estate investment trust , economics , mathematics , statistics , finance , artificial intelligence , motion (physics)
This paper gives a formalized description of the procedure for constructing widely used discrete spatial-parametric models of the real estate market in terms of set theory – an apparatus specially created for describing discrete spaces. The presentation is carried out in comparison with the approaches and concepts of a related methodology – regression models of mass appraisal of real estate objects. The methodology of discrete spatial-parametric modeling of the real estate market is used for market monitoring, for building dynamic market indices and for mass appraisal of real estate objects. The methodology is based on statistical cluster analysis and also allows for static interpolation spatial-parametric forecasting of the values of market indicators in small clusters with insufficient sample size and in narrow markets with little or no supply. The application of the methodology of discrete spatial-parametric modeling of the real estate market is demonstrated on the example of the residential real estate market in Moscow.