Using GWR to suggest spatial patterns of inequity: The development of a new webapp by the Lincoln Institute of Land Policy

Using GWR to suggest spatial patterns of inequity: The development of a new webapp by the Lincoln Institute of Land Policy

This session will showcase a spatial method for suggesting locations of potential inequity using geographically weighted regression (GWR) using a new open-source webapp by the Lincoln Institute of Land Policy. The presentation will discuss the evolution of equity measurements in property tax assessments, tracing how methodologies have been shaped by both academic and industry standards to define and measure fairness in assessments. By focusing on localized patterns of inequity, the GWR app helps suggest and address spatial inconsistencies in property tax assessments. Attendees will gain an understanding of how GWR can reveal subtle, location-specific assessment discrepancies that traditional methods might overlook. These insights support a more equitable approach to property tax assessments, which is crucial for maintaining public trust and ensuring that assessments reflect true market values across diverse neighborhoods. This tool serves as a resource for assessors and policymakers aiming to address local inequities in a focused, data-driven way, aligning assessment practices with broader fiscal responsibility goals without overextending resources.