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

TÜRK T., TUNA M. F., KİTAPCI O.

5th World Conference on Business, Economics and Management (BEM), Antalya, Türkiye, 12 - 14 Mayıs 2016, ss.208-218 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.208-218
  • Anahtar Kelimeler: estimating the residence price, Geographical Information Systems, online marketing, regression analysis, HOUSE PRICES
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.