Property records and parcel boundaries form the basis for much of the backbone used in the real estate industry for a myriad of activities from property search, analysis, evaluations for lending etc. However, these records do not include accurate and consistent data for fields related to a property's zoning or possible future land use. This invention targets transforming disparate data sources needed to express a property's land use utility and standardizes the multiple records into a standardized land use utility with an element for time that allows tracking and measuring changes in standardized land use utility at the parcel level for one or more locations. Improvements in this invention are directed to an improvement in computer-related technology.

A system and method of the present invention, in at least some embodiments, provides such a solution for determination of the boundaries of a parcel through a calculable solution, which is also operable when multiple units within a parcel are owned by different entities. The solution features calculation of a centroid that also features altitude. Optionally, the centroid is calculated as a single three dimensional (3D) centroid. Alternatively, it is calculated as a two dimensional centroid and then the third dimension is calculated separately.

The present invention is a computer implemented method for determining and conforming the position of electrical systems within a building, comprising: analyzing a model, wherein the model is comprised of a plurality of members; identifying an electrical system, wherein the electrical system is integrated into the model; identifying where the electrical system interfaces with the plurality of members; isolating the group of members which interface with the electrical system; calculating a set of actual values associated with the interfaces between the electrical system and the group of members; comparing the actual values to a required value, and determining if the actual value is within a predetermined range of the required value; and generating a list of interfaces which the actual value it outside the predetermined range of the actual values.

Systems and methods for determining land use development potential are provided, including a graphical user interface for real-time analysis. The systems and methods further implement search functions and real-time feedback and recommendations for real-time adjustment of a proposed land use development plan to ensure compliance with environmental and regulatory information.

Machine learning systems and methods are described in regard to automating and acting upon evaluations of hypothetical composite project sites of 2+ disparate land parcels so as to allow a developer, owner, or other stakeholder to see and act upon potential land uses that are not reflected in conventional valuations. Some variants include a feature augmentation protocol for speciating one or more detailed structures feasible for development, a pattern matching protocol for identifying viable composite project sites that might suit a developer's requirements, technologies for accommodating latent preferences, proactive virtual development of co-owned disparate parcels, a notification protocol implementing offers to numerous potential sellers whose responses might affect project viability, wise virtual development and prioritization, or other such innovative configurations.

A technique for assessing development condition of a property is provided that determines development condition for an individual property or properties of interest using image or other sensor data from one or more unmanned aerial vehicles taken over the development process. A property condition output may be generated to indicate a condition of the property or properties.

Various embodiments set forth systems and techniques for determining expandability of a budding design. The techniques include receiving a building geometry indicating a size of a building and a shape of the building; receiving building placement data indicating a placement of the building within a site; identifying one or more remaining spaces within the site based at least on the size of the building, the shape of the building, and the placement of the building within the site; for each remaining space of the one or more remaining spaces: determining whether the remaining space is a usable space; based on the determining whether the remaining space is a usable space, generating a space expansion value corresponding to the remaining space; and computing, based on space expansion values corresponding to the one or more remaining spaces, one or more aggregate expansion values associated with the building geometry and the building placement.

A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics include a productivity metric.

A method that integrates risk-adjusted return metrics into a practical application of creating equitable commercial real estate equity structures that benefit both a tenant and its commercial property owner partner involves the use of risk-adjusted return metrics to determine the tenant's impact on real estate equity. An equity structure is then created in which the tenant “buys in,” lowering risk to its landlord partners. By stabilizing future value, the tenant is able to “buy down” its commercial real estate profit and loss or present value cost to wholesale pricing, resulting in savings of thirty-five to fifty percent over market rates. The lease is made equitable through a one-to-one ratio of total lease obligation to tenant equity impact.

Machine learning systems and methods are described in regard to automating and acting upon evaluations of hypothetical composite project sites of 2+ disparate land parcels so as to allow a developer, owner, or other stakeholder to see and act upon potential land uses that are not reflected in conventional valuations. Some variants include a feature augmentation protocol for speciating one or more detailed structures feasible for development, a pattern matching protocol for identifying viable composite project sites that might suit a developer's requirements, technologies for accommodating latent preferences, proactive virtual development of co-owned disparate parcels, a notification protocol implementing offers to numerous potential sellers whose responses might affect project viability, wise virtual development and prioritization, or other such innovative configurations.