Land prices vary across different locations, affecting property values. A study used geospatial data and a method called mixed geographically weighted regression to analyze how this variation impacts house prices in a Dutch city. By considering spatial differences in land prices, the model performed better. However, the overall house price indices remained similar across different models. On the other hand, the indices for land and structures prices were influenced by how location was treated in the analysis.