Abstract: Modeling appropriate comparable properties for a condo property includes accessing property data, and identifying candidate condo properties in the accessed property data to produce condo property data. A regression is performed using the property data, with the regression modeling the relationship between price and explanatory variables, and the explanatory variables including at least one variable that is specific to condo property assessment. The regression accommodates a modeling of comparable properties, such that a subject condo property and comparable properties may be identified and displayed.

Abstract: Modeling comparable properties and rendering map images with automatic valuation of properties bordering specified geographic features. A valuation model identifies and accounts for the proximity of properties to geographic features. For example, estimating property value includes accessing property data corresponding to a geographic area and performing a regression based upon the property data. The regression models the relationship between price and explanatory variables, with the explanatory variables including proximity to geographic features. Proximity may be a categorical variable wherein properties bordering the geographic feature are determined to possess the proximity characteristic. Alternative explanatory variables may incorporate different degrees of proximity.

Abstract: Modeling appropriate comparable properties for a condo property includes accessing property data, and identifying candidate condo properties in the accessed property data to produce condo property data. A regression is performed using the property data, with the regression modeling the relationship between price and explanatory variables, and the explanatory variables including at least one variable that is specific to condo property assessment. The regression accommodates a modeling of comparable properties, such that a subject condo property and comparable properties may be identified and displayed.