Abstract: A system and method may aggregate into a data structure property information from multiple databases, e.g., from all records included in those databases, and upon selection of any subject property or a characteristic thereof curates the often imperfect and discrepant property information to create suggested values. Similarly, the system and method may perform an on-the-fly evaluation of any characteristic of a selected record, when the property information for that characteristic includes an unlikely value, by triggering from the data structure a dynamic extraction of property information corresponding to a subject property of the selected record, where the dynamic extraction further generates and compares a suggested value to the unlikely value.

Abstract: An automated valuation model and corresponding analysis tool that graphically displays value history information in association with a subject property is disclosed. In one example, the tool generates a graph plotting the valuation history of a subject property over an adjustable time range in relation to a general price index for a pertinent geographical area. When looking at an appraisal for a property, the graph also supports selective plotting of appraiser-selected comparable properties' valuation histories against that of the subject property. The valuation history for comparable properties can be scaled on a pro-rata basis according to the percentage of the adjustments made within the appraisal. In addition, the graph selectively incorporates model-generated comparables and their valuation histories.

Abstract: Ranking and displaying comparable properties entails receiving appraisal information comprising a subject property and appraiser-chosen comparable properties corresponding to the subject property. Property data corresponding to a geographical area is accessed, in support of determining model-chosen comparable properties based upon the appropriateness of each of the comparable properties as comparables for the subject property. A map image is displayed for the geographical area, along with indicators on the map image indicative of the subject property, at least one of the appraiser-chosen comparable properties, and at least one of the model-chosen comparable properties.

Abstract: Ranking and displaying comparable properties entails receiving appraisal information comprising a subject property and appraiser-chosen comparable properties corresponding to the subject property. Property data corresponding to a geographical area is accessed, in support of determining model-chosen comparable properties based upon the appropriateness of each of the comparable properties as comparables for the subject property. A map image is displayed for the geographical area, along with indicators on the map image indicative of the subject property, at least one of the appraiser-chosen comparable properties, and at least one of the model-chosen comparable properties.

Abstract: Ranking and displaying comparable properties entails receiving appraisal information comprising a subject property and appraiser-chosen comparable properties corresponding to the subject property. Property data corresponding to a geographical area is accessed, in support of determining model-chosen comparable properties based upon the appropriateness of each of the comparable properties as comparables for the subject property. A map image is displayed for the geographical area, along with indicators on the map image indicative of the subject property, at least one of the appraiser-chosen comparable properties, and at least one of the model-chosen comparable properties.

Abstract: 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.

Abstract: A system and method may aggregate into a data structure property information from multiple databases, e.g., from all records included in those databases, and upon selection of any subject property or a characteristic thereof curates the often imperfect and discrepant property information to create suggested values. Similarly, the system and method may perform an on-the-fly evaluation of any characteristic of a selected record, when the property information for that characteristic includes an unlikely value, by triggering from the data structure a dynamic extraction of property information corresponding to a subject property of the selected record, where the dynamic extraction further generates and compares a suggested value to the unlikely value.

Abstract: Performing automated appraisals with automatic detection and remediation of situations involving faulty characteristics is disclosed. Property information characteristics are extracted from properties listed on electronic appraisals. For a subject property, faulty characteristics include the absence of characteristics, or errors in characteristics. Such faulty characteristics are those that would cause an automated appraisal of the given property to be invalid or unsuitable. In response to the detection of faulty characteristics, interfaces may solicit input addressing the faulty characteristic and upon remediation indicate a clean and complete characteristic set. Thereafter, automated appraisal of the subject property based on the clean characteristic set is initiated to provide an automated valuation of the subject property.

Abstract: 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.

Abstract: 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.

Abstract: An automated valuation model and corresponding analysis tool that graphically displays value history information in association with a subject property is disclosed. In one example, the tool generates a graph plotting the valuation history of a subject property over an adjustable time range in relation to a general price index for a pertinent geographical area. When looking at an appraisal for a property, the graph also supports selective plotting of appraiser-selected comparable properties' valuation histories against that of the subject property. The valuation history for comparable properties can be scaled on a pro-rata basis according to the percentage of the adjustments made within the appraisal. In addition, the graph selectively incorporates model-generated comparables and their valuation histories.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Automated valuation model with customizable neighborhood determination, including spatial exclusion conditions. 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.

Abstract: Ranking and displaying comparable properties entails receiving appraisal information comprising a subject property and appraiser-chosen comparable properties corresponding to the subject property. Property data corresponding to a geographical area is accessed, in support of determining model-chosen comparable properties based upon the appropriateness of each of the comparable properties as comparables for the subject property. A map image is displayed for the geographical area, along with indicators on the map image indicative of the subject property, at least one of the appraiser-chosen comparable properties, and at least one of the model-chosen comparable properties.

Abstract: 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.