In science, spatial data analysis can be defined as an extension of conventional statistics designed to support analysts to spatiality describe how elements appear, finding clusters, patterns, and correlations. In recent years, image analytics emerged as a disruptive technology to sense, capture, describe complex spatial dynamics. These sensing technologies can introduce new workflows informing design solutions through spatial-sensing data.

Noumena implement computer vision and machine learning algorithms, to analyse image-based data and extract meaningful metrics to inform spatial transformations.