Open AccessAPPLICATION OF METHODS OF SPATIAL ANALYSIS IN ASSESSING THE REAL ESTATE MARKET
Author(s) -
A.O. Bukhtoyarov,
V.V. Boyko
Publication year - 2021
Publication title -
èkologiâ. èkonomika. informatika. tom 2: geoinformacionnye tehnologii i kosmičeskij monitoring
Language(s) - English
Resource type - Journals
ISSN - 2500-123X
DOI - 10.23885/2500-123x-2021-2-6-12-15
Subject(s) - real estate , parsing , computer science , service (business) , investment (military) , asset (computer security) , property (philosophy) , object (grammar) , data science , operations research , finance , business , marketing , artificial intelligence , engineering , computer security , philosophy , epistemology , politics , political science , law
The article deals with the application of spatial analysis methods in assessing the real estate market. Real estate is viewed not only as a type of property but also as a tangible asset. Each participant in the real estate market solves one of two tasks: improving housing conditions or a profitable investment of capital. The selection of the most suitable real estate option that meets the criteria chosen by the purchaser is the most urgent task: theoretical and mathematical, statistical, cluster analysis. The city of Rostov-on-Don was chosen as the main object of the study. This choice was due to the high population density, the presence of a developed infrastructure: socially significant facilities (schools, kindergartens, hospitals, post offices, MFC offices), sports and entertainment centres, as well as a developed transport network. The main criterion for determining the most suitable service for obtaining the initial data for the study was the largest number of ads. The analysis of platforms containing information about real estate allowed us to choose the Avito service, which has the most complete database, as a data source. To collect data, a parser program was used that performs parsing. The information obtained was processed on a computer using spatial analysis software. The cartographic basis of the project is a map of the OpenStreetMap service.