Stabak Roy

Differentiable Spatial Autocorrelation in End-to-End Deep Learning for Hedonic Agricultural Land Pricing

We propose an end-to-end differentiable framework for hedonic agricultural land pricing that integrates deep learning-based land cover classification with spatial econometric modeling into a single neural architecture. Traditional hedonic pricing approaches typically separate land cover extraction from price regression...