GEOGRAPHIC INFORMATION BASE FOR REAL ESTATE VALUATION

This article explores the application of Geographic Information Systems (GIS) in real estate valuation, demonstrating how spatial analysis can increase the accuracy and objectivity of property appraisal. Using the rental housing market in Kharkiv as a case study, the research develops a practical GIS-based methodology implemented in the open-source software QGIS. A geodatabase was created containing 80 rental listings geocoded by address, supplemented by infrastructure layers (metro stations, public transport stops, shops, pharmacies, parks, schools, kindergartens, and hospitals).Spatial analysis techniques, including density mapping, buffer zones, and visualization of accessibility, revealed two primary high-value rental zones: the prestigious central part of Shevchenkivskyi district and densely built-up neighborhoods of Saltivka with well-developed infrastructure. The study confirmed a strong correlation between rental prices and proximity to metro stations, while also showing that a dense and efficient ground public transport network can largely compensate for the absence of metro access in certain areas.The results highlight the effectiveness of GIS in visualizing spatial patterns of the rental market and identifying factors that traditional valuation methods often overlook. The developed model serves as a practical tool for appraisers, real estate analysts, and local authorities. Limitations of the current research include the static nature of the dataset and the need for regular automated updates. Future improvements involve incorporating additional factors (environmental conditions, noise levels), integrating machine learning for price forecasting, and creating publicly accessible geoportals. The study provides a replicable, open-source framework that combines GIS techniques with real-world valuation tasks, contributing to more transparent and data-driven decision-making in urban real estate markets.