Spatial computing is a concept that involves the use of technology to blend the digital world with the physical world seamlessly. It enables the interaction of digital objects and information within a spatial context, allowing users to perceive and manipulate virtual content as if it were part of their real-world environment. 

The key components of spatial computing are: 

•  Spatial Mapping: Spatial computing systems use sensors (such as cameras, depth sensors, or LiDAR) to create a detailed map of the physical environment. This map allows the system to understand the geometry, layout, and objects present in the real world. 

• Augmented Reality (AR): AR is an essential aspect of spatial computing. It involves overlaying virtual objects, information, or experiences onto the user’s view of the real world. These virtual elements are anchored to specific locations in the physical space, maintaining their position and scale as the user moves. 

• Mixed Reality (MR): Mixed reality is a subset of spatial computing that goes beyond simple augmentation. In mixed reality experiences, virtual objects can interact with the real world and respond to real-world physics. For example, a virtual ball can bounce off a real table or roll on the floor. 

• Virtual Reality (VR): Though not always a central part of spatial computing, VR can be considered as part of the spectrum. VR completely immerses the user in a virtual environment, eliminating the real-world view. 

• Spatial Interaction: Spatial computing systems often utilize natural user interfaces that allow users to interact with digital content in an intuitive and spatially aware manner. Gestures, voice commands, and gaze-based interactions are common methods for interacting with virtual objects in spatial computing.