Abstract: In an illustrative embodiment, systems and methods for identifying properties affected or at risk of being affected by geohazards include obtaining geospatial data representing geographic features and associated geohazard risk with a portion of the features, applying, based on a storage size of the geospatial data, a shape approximation algorithm to geographic shape representations of a geographic area within the geospatial data to reduce the storage size, mapping, to the geospatial data, property data representing a number of manmade features, and adjusting, based on periodically released geospatial data updates accessed from one or more hazard data providers, the geospatial data to incorporate a time element mapping modifications to a portion of elements in the geospatial data, where the resultant geospatial data is maintained in a database for querying to identify impact of geohazards upon property values of a portion of the manmade features.

Abstract: In an illustrative embodiment, methods and systems for modeling a layered or tower pricing program based upon limited layered or tower pricing structure data includes accessing pricing structure data having a number of layers, determining a base curve algorithm for representing an estimation of an optimally efficient pricing structure based upon the pricing structure data, the base curve algorithm representing a statistical distribution, and calculating, using the base curve algorithm and the pricing structure data, a fitted curve fitted to attachment points of the pricing structure data. The fitted curve may be used to estimate layer information and missing data points within one or more layers of the pricing structure data. By repeating the process for a number of competitors, peer comparison data may be generated to present comparisons of otherwise incompatible layered or tower pricing programs.