摘要:
Indexing and adjusting for property condition in an automated valuation model. Property data corresponding to a geographical area is accessed, and a regression is performed based upon the property data. The regression models the relationship between a dependent variable, such as price, and property-characteristic explanatory variables. Further regression is then performed and models or further explains the relationship between the dependent variable and property condition explanatory variables. Specifically, further regression may model the relationship between the residual from the first regression and the property condition variables. Optional examples of these variables are those based upon the presence of predetermined remarks in associated property listings, the number of photos in such listings, and a categorical year built variable. The regression is used to determine a property-condition index for the geographical area. The property-condition index identifies a predicted condition that is used to make adjustments to comparable properties in automated valuation modeling.
摘要:
Indexing and adjusting for property condition in an automated valuation model. Property data corresponding to a geographical area is accessed, and a regression is performed based upon the property data. The regression models the relationship between a dependent variable, such as price, and property-characteristic explanatory variables. Further regression is then performed and models or further explains the relationship between the dependent variable and property condition explanatory variables. Specifically, further regression may model the relationship between the residual from the first regression and the property condition variables. Optional examples of these variables are those based upon the presence of predetermined remarks in associated property listings, the number of photos in such listings, and a categorical year built variable. The regression is used to determine a property-condition index for the geographical area. The property-condition index identifies a predicted condition that is used to make adjustments to comparable properties in automated valuation modeling.
摘要:
A system and method for automatically accessing property data corresponding to properties within the geographic area and displaying on a display device a map corresponding to said geographic area. Applying a comparable selection model based on a subject to the property data to generate a set of comparable properties, altering the set of comparable properties based on a variation command to generate an altered comparable property set, and displaying on the display device the map with the altered comparable property information.
摘要:
Automatically assigning confidence ratings to properties valued by an automated valuation model. A value confidence model determines a set of typical property characteristics for properties in a geographic area, automatically determines a deviation from the set of typical property characteristics for a candidate comparable property, and assigns a confidence factor to an automated valuation of the candidate comparable property based upon the deviation.
摘要:
Automated valuation model with customizable neighborhood determination. A map image is displayed corresponding to a geographical area, and then user input accommodates definition of a particularly defined geographic area to provide custom identification of a neighborhood to be subject to automated valuation. Once the defined geographic area is established, the automated valuation model is applied to property data corresponding to properties within the defined geographic area. A subject property and corresponding properties within the defined geographic area are then displayed on a map image, preferably with articulation of the defined geographic area as the neighborhood of interest. The neighborhood may be defined by, among other criteria, inclusion within a user-defined shape, as well as exclusion of a user-defined shape from a displayed geographic area.
摘要:
A valuation model accounts for traffic features associated with modeled properties, generates listings of model-chosen comparables, and evaluates property appraisals and appraisal-chosen comparables accordingly. In one embodiment, traffic features of homes are used in automated electronic appraising and in the electronic review of appraisals. It first uses GIS techniques to convert traffic features associated with a property into a numeric variable, allowing hedonic price models to measure the price impact of traffic features. This allows traffic features to be used in the automated selection of comparable properties and in the adjusting of comp prices in appraisals. It also allows automated review of appraisals to determine if they fairly accounted for the traffic dimension in the selection of comps and in making any price adjustments. In one example, the automatic valuation uses a regression that models the relationship between price and explanatory variables, with the explanatory variables including traffic feature variables.
摘要:
Automatically rendering a new valuation for a subject based on real-time property characteristic alterations or manipulations using a comparable selection model. A user alters one or more property characteristics for the subject and the comparable selection model determines a ranked listing of comparable properties for the subject in a given geographical area based on those alterations. The comparables are then displayed in a ranked order that reflects the alterations based on prior data point changes.
摘要:
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.
摘要:
Model-based property value estimation with that implements a categorical location variable providing a neighborhood proxy. A regression models the relationship between sale price and a set of explanatory variables. These explanatory variables include a location variable that is defined at a level of granularity such that the location variable acts as a proxy for location within a neighborhood. An infill process remedies the effects of insufficient amounts of location variable data.
摘要:
Modeling and mapping appropriate comparable properties comprises accessing property data corresponding to a geographical area, and then weighting comparable properties based upon the appropriateness of each of the plurality of comparable properties as comparables for a subject property. For example, the weighting may be based upon economic distance from the subject property, geographic distance from the subject property, and age of transaction. Using this information, a map image of the geographical area is displayed, with indicators on the map image indicative of the subject property and at least one of the comparable properties.