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Spatial cognition. In cognitive psychology, spatial cognition is the acquisition, organization, utilization, and revision of knowledge about spatial environments. It is most about how animals, including humans, behave within space and the knowledge they built around it, rather than space itself. These capabilities enable individuals to manage ...
Spatial memory. Spatial memory is required to navigate in an environment. In cognitive psychology and neuroscience, spatial memory is a form of memory responsible for the recording and recovery of information needed to plan a course to a location and to recall the location of an object or the occurrence of an event. [1]
Spatial intelligence is an area in the theory of multiple intelligences that deals with spatial judgment and the ability to visualize with the mind's eye. It is defined by Howard Gardner as a human computational capacity that provides the ability or mental skill to solve spatial problems of navigation, visualization of objects from different ...
Spatial analysis confronts many fundamental issues in the definition of its objects of study, in the construction of the analytic operations to be used, in the use of computers for analysis, in the limitations and particularities of the analyses which are known, and in the presentation of analytic results.
Spatial ability is the capacity to understand, reason and remember the visual and spatial relations among objects or space. [1] There are four common types of spatial abilities: spatial or visuo-spatial perception, spatial visualization, mental folding and mental rotation. [4] Each of these abilities has unique properties and importance to many ...
Spatial scale. Spatial scale is a specific application of the term scale for describing or categorizing (e.g. into orders of magnitude) the size of a space (hence spatial), or the extent of it at which a phenomenon or process occurs. [1][2] For instance, in physics an object or phenomenon can be called microscopic if too small to be visible.
t. e. In physics and mathematics, the dimension of a mathematical space (or object) is informally defined as the minimum number of coordinates needed to specify any point within it. [1][2] Thus, a line has a dimension of one (1D) because only one coordinate is needed to specify a point on it – for example, the point at 5 on a number line.
In order to make all of this mathematically precise, the theory must clearly define what is a Euclidean space, and the related notions of distance, angle, translation, and rotation. Even when used in physical theories, Euclidean space is an abstraction detached from actual physical locations, specific reference frames , measurement instruments ...