Estimating the residence price by linear regression model and Geographical Information Systems (GIS

Abstract

Owning a residence is also considered as an investment tool, determining the price of a residence with the desired properties has become one of the most important questions to be answered in social life. In this study, price estimations of residences located in nine of the central districts of Ankara city (Turkey) were carried out via multi linear regression model and geographical distributions of these residences were revealed on GIS environment to perform various query, spatial analysis and documentation operations. In addition, thematic maps regarding residence prices in the study region were produced.