Real questions. Modeled answers.
Three studies that show the practice in action — each pairing a hard property question with the method built to answer it.
Condominium valuation, at county scale.
We used machine-learning cluster analysis and ensemble modeling to reveal the market-derived attributes of condominiums — then produced exceptionally accurate market-value estimates for thousands of condominiums across Pinellas County, Florida.
What a pipeline does to home values.
Using econometrics and our fully-integrated geographic information system, we studied more than 1,000 home sales near a high-pressure natural gas pipeline — isolating the effect that proximity alone has on nearby home values.
Pricing a highway's noise and elevation.
In one of the first large-scale applications of remote-sensing LIDAR data, we studied how highway elevation and traffic noise affected home sales along Interstate-395 in Jacksonville, Florida — turning a community disamenity into measurable dollars.
Three decades in the field, in every model.
We combine 35 years of real estate experience at the highest industry level, across a broad range of property types and sizes — enough to understand the problem before we ever pick a model.
Decades of transactions across property types tell us which questions matter and where the data will mislead.
Machine learning and econometrics, applied with the discipline of people who have to defend the result.
GIS and LIDAR are core tools, not add-ons — location is treated as data, precisely.
Your study could be next.
Tell us the property question you need answered. We'll scope the method and the evidence it can produce.
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