Since 2011, Noumena has developed practice integrating cutting-edge technologies to study and analyze spatial dynamics. Founded by Aldo Sollazzo, Efilena Baseta, and Chirag Rangholia, Noumena’s mission is to develop metrics and instruments to empower decision-makers towards more efficient, resilient, and sustainable spatial solutions. 

Noumena have been involved in multiple initiatives, operating in the built and environmental scale to define design protocols driven by data and machine learning. 

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. Spatial analytics is the process of extracting or creating new information about a set of geographic features to perform routine examination, assessment, evaluation, analysis, or modeling of data in a geographic area.

In Noumena, we implement spatial metrics and advanced visualizations to better understand complex spatial dynamics. 

Today data is produced at an unprecedented rate. Nonetheless, the increasing capacity of data storage is not balanced by an equal ability to analyze its contents

In this age of data expansion, novel extraction techniques must be introduced to describe spatial configurations. In Noumena, we use new forms of data in combination with computational approaches and robotic perception to offer a clearer insight into urban habitats, farming, and manufacturing operations. 

Emerging technologies offer tools to inform spatial strategies, unveiling dependencies, common patterns, and associations through a data-based protocol of observation and analysis. Remote sensing, a data collection technique used by satellites, paired with computer vision and predictive modeling, represents a valid operational approach to establish the criteria to study, observe, and analyze habitats, producing maps to enhance advanced planning strategies.