Modeling Owner-Occupied Single-Family House Values in the City of Milwaukee: A Geographically Weighted Regression Approach

摘要: This study investigates the spatial non-stationarity of relationship between house values and various attributes in City Milwaukee. From 2003 Master Property (MPROP) data file Milwaukee, a set owner-occupied single family houses were randomly selected (representing 99% confidence within ±2% range accuracy total population) to model how are related attributes. Remote sensing information (the fraction soil impervious surface that represent degraded neighborhood environmental conditions) is added fine-tune relationship. A geographically weighted regression (GWR) approach used investigate non-stationarity. The modeling revealed significant existed predictors. Specifically, found those attributes—including floor size, number bathrooms, air conditioners, fire-places—add more value affluent areas (esp...