SENSING MACHINES

Automating spatial analytics

Spatial 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 and visual analytics have been implemented primarily in strategic spatial domain areas, including geography, public health, military, entertainment, and sport.

At Noumena, we implement autonomous machines, computer vision and machine learning algorithms, for a variety of applications from architectural design, urban planning, or on-site construction informing strategic planning, spatial transformations, management, and logistics services. 

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