Design appraisal is represented by a novel data-driven approach that predicts prices of procedurally generated building designs, using learned estimates of financial preference of design performance.

Evaluating visual landscape quality at large-scale has remained challenging. In this paper we have introduced a spatial machine learning approach to generate an income-derived building-specific measure of Visual Capital.