Spektruma

Spektruma is a term used in certain discussions of spectroscopy and data visualization to denote a comprehensive representation of a signal's spectrum that combines spectral content with additional dimensions such as space or time. It is not widely standardized and may appear in speculative, educational, or multidisciplinary contexts rather than as a formal technical category.

In concept, a spektruma includes a spectral axis (wavelength or frequency) and one or more secondary axes, such as spatial coordinates (x, y) or time, with a magnitude or intensity value assigned to each point. This makes it akin to a data cube or interactive visualization that allows simultaneous examination of how spectral components vary across space or over time.

Two common forms: spectro-spatial data cube used in hyperspectral imaging, where data are collected as a stack of images across wavelengths; and spectro-temporal representations where spectra evolve over time. Spektruma differs from a simple spectrum or a spectrogram by emphasizing multi-dimensional integration and cross-domain analysis.

Applications include remote sensing, astronomy, materials science, biology, and industrial process monitoring. It supports tasks such as identifying material composition, detecting chemical signatures, mapping spectral features across samples, or tracking dynamic spectral changes.

Limitations include the need for careful calibration, resolution trade-offs, and standardized scales. The term remains informal in many fields.

See also: spectroscopy, hyperspectral imaging, spectrogram, data cube.