SPATIAL REGRESSION MODELS IN GEODA

Çaylak M., Yalçın F.

, International Symposium on Advanced Engineering Technologies (ISADET), Kahramanmaraş, Türkiye, 16 - 18 Haziran 2022, ss.411-416

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Kahramanmaraş
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.411-416
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Spatial analysis is one of the statistical studies conducted by including geospatial data in the statistical studies. Spatial regression analysis is one of the most significant application areas of spatial analysis. Linear regression analysis might be insufficient due to spatial dependence or spatial autocorrelation of the spatial data. In this context, the effect of location and other characteristics on the sales prices of the houses in Baltimore (USA) was examined to study the differences between spatial regression and linear regression analyses. The presence of a spatial relationship was examined using the Moran's I test, and it was concluded that there was a spatial relationship. Considering the obtained statistical models, it was decided that the spatial lag model (spatial autoregressive model, SAR) was more appropriate for spatial regression analysis.