Dynamic Neighbourhood Scaling is a process PointData has developed to define the characteristics of a neighbourhood to predict property values with a higher degree of accuracy. Because property values are defined by a wide range of attributes and not static suburb boundaries, defining a neighbourhood by its geographic, socioeconomic and market attributes yields more accurate property values.
We customise neighbourhood statistics to be representative of a property’s physical location and create custom boundaries which draw from real world features.
This delivers more accuracy in our calculated property value outputs (such as the property price estimate, estimated land value and neighbourhood price trends) as well as providing a truer representation of local properties and the features that define them.
