Spatial Modelling and Geovisualization of House Prices in the Greater Athens Region, Greece

In this article, geovisualization is used for the presentation and interpretation of spatial analysis results concerning several house attributes. For that purpose, point data houses in region Attica, Greece are analyzed. The concern sale comprise structural characteristics, such as size, age floor, well locational Geovisualization characteristics performed employing interpolation techniques, kriging particular. Spatial autocorrelation examined through calculation Moran’s I coefficient, while clusters with similar identified using Getis-Ord Gi* local coefficient. Finally, a model developed order to predict prices according characteristics. respect, classic hedonic pricing constructed, which consequently geographically weighted regression (GWR) GIS environment. indicate two i.e., size age, account most variability study region. Since GWR producing different parameters each observation, it possible obtain distribution parameters, significance price determination locations area.