Articles

LinkedIn | May 24, 2026

When the Map Arrives Before the Market

This article examines the U.S. Census Bureau's new Local Air Conditioning Estimates (LACE) and argues that an air-conditioning figure quietly functions as a proxy for housing age, income, infrastructure, and heat vulnerability, making it a compact screening signal for neighborhood risk. Drawing on the released tract-level data, it documents a counterintuitive geography in which the highest no-cooling rates concentrate along the temperate Pacific Coast and northern tier rather than the saturated South, with just ten Pacific counties holding nearly a third of the national no-AC population. It shows why cooling capacity is a neighborhood rather than county characteristic, and how a single heat event can convert that absence from invisible to decisive almost overnight. Ultimately, it argues that heat risk is following flood risk's path from environmental curiosity to priced financial variable, with one decisive difference: the data layer has arrived ahead of the market machinery that might one day price it.

The Counselors of Real Estate · Real Estate Issues^® · Volume 50, Number 10 | May 19, 2026

From Shorthand to Market Diagnostics

This article explores how appraisal and advisory workflows can move beyond narrative shorthand into disciplined market diagnostics, using clearer evidence trails and structured interpretation of local signals. Framed for Real Estate Issues readers, it emphasizes practical techniques for translating fragmented market observations into defensible, decision-ready conclusions.

The Appraisal Journal · Volume 94, Issue 1 | 2026

Nodes, Networks, and Net Worth

This article proposes a network valuation approach (NVA) as a potential fourth method of real estate valuation, modeling properties as nodes within physical, social, and economic networks and quantifying their relational position using degree, closeness, and betweenness centrality measures combined into a network value index (NVI). Through an illustrative case study and hedonic regression model, the authors demonstrate how the NVA can complement traditional cost, sales comparison, and income capitalization approaches by capturing connectivity-driven value that existing methods acknowledge qualitatively but rarely quantify.

Valuation · Volume 31, Issue 1 | 2026

The Hidden Patterns Behind Property Value

This article examines five foundational urban economic models, including Alonso's bid-rent function, Christaller's central place theory, Zipf's rank-size law, Reilly's law of retail gravitation, and Hansen's accessibility index, and translates each into practical guidance for real estate appraisers. By grounding familiar valuation tasks such as highest and best use analysis, trade area delineation, and land value estimation in established economic theory, the article makes the case that appraisers who understand the forces behind property values are better positioned to explain their conclusions and anticipate market dynamics.

The Appraisal Journal · Volume 93, Issue 3-4 | 2025

Sitting on the Dock of the Bayes
Applying Bayesian Methods to Modern Real Estate Appraisal

This article introduces Bayesian inference as a formal framework for incorporating professional judgment and uncertainty into real estate valuation, moving beyond deterministic point estimates toward probability-based conclusions. Through practical examples, it demonstrates how Bayesian updating can improve reconciliation, defensibility, and communication of risk in both residential and commercial appraisal assignments.

The Appraisal Journal · Volume 93, Issue 1 | 2025

The Tenant is Not the Property

This article analyzes how tenant creditworthiness and lease structure can materially affect the value of a leased fee interest without altering the intrinsic value of the underlying real estate. By examining credit tenant definitions, bondable leases, and rating agency methodologies, the authors emphasize the necessity for appraisers to clearly distinguish real estate value from contract-derived value embedded in lease agreements.

Journal of the ASFMRA · 2025

Cultivating Precision: Integrating Generative AI into Rural and Agricultural Property Valuation

Synthesizes real-world case studies showing how generative AI can improve efficiency, enhance market condition analysis, and uncover valuation insights that are difficult to detect using traditional methods alone. The article underscores that ethical oversight and professional judgment remain central, positioning AI as a powerful support tool that strengthens, rather than supplants, the appraiser’s role.

Mid-South ASFMRA Land Values and Lease Trends Report · 2025

Artificial Intelligence in Agriculture: Evolution and Opportunity

Explains how artificial intelligence is already transforming agricultural decision-making by augmenting, rather than replacing, professional judgment. Through practical examples in valuation, risk assessment, and farm management, the article emphasizes that the greatest value of AI lies in combining advanced analytics with localized expertise and human insight.

Valuation · Volume 29, Issue 4 | 2024

Draw more from your data

This article argues that recent changes to Fannie Mae market condition requirements demand more rigorous, data-backed analysis and clearer communication of valuation conclusions. The article demonstrates how statistical software such as R enables appraisers to translate complex market dynamics into defensible, visually compelling evidence that enhances transparency and credibility in residential appraisal practice.

The Appraisal Journal · Volume 92, Issue 1-2 | 2024

Navigating Ethical Frontiers
Real Estate Apppraisal in the Age of Artifical Intelligence

This article examines the ethical risks and responsibilities associated with the growing use of artificial intelligence in real estate appraisal, with particular emphasis on bias, transparency, data quality, privacy, and the preservation of human judgment. It argues that while AI tools can materially enhance efficiency and analytical capability, appraisers must actively manage ethical considerations to ensure credible, fair, and professionally defensible valuation outcomes.

Book · 2024

The Generative Shift

Preparing appraisers for the integration of artificial intelligence models into valuation practice. A practical guide to understanding, evaluating, and responsibly adopting generative AI tools.

When the Map Arrives Before the Market

From Shorthand to Market Diagnostics

Nodes, Networks, and Net Worth

The Hidden Patterns Behind Property Value

Sitting on the Dock of the Bayes Applying Bayesian Methods to Modern Real Estate Appraisal

The Tenant is Not the Property

Cultivating Precision: Integrating Generative AI into Rural and Agricultural Property Valuation

Artificial Intelligence in Agriculture: Evolution and Opportunity

Draw more from your data

Navigating Ethical Frontiers Real Estate Apppraisal in the Age of Artifical Intelligence

The Generative Shift

Sitting on the Dock of the Bayes
Applying Bayesian Methods to Modern Real Estate Appraisal

Navigating Ethical Frontiers
Real Estate Apppraisal in the Age of Artifical Intelligence