In hyperspectral CARS, a CARS spectrum is measured at each spatial position either by taking a series of spatially resolved images at different vibrational frequencies or by acquiring a spectrum at each spatial point following simultaneous excitation of several vibrations.
In a spatially local regression approach, GWR estimates regression models at each spatial unit, attaching weights to neighbouring observations.
Each spatial frequency component produces diffraction at a specific angle dependent upon the wavelength of light.
Temperature is an example of a scalar field; its complete specification requires only one number for each spatial point.
However, the species niche was supported at each spatial scale.
Only one target exists in each spatial block.
Cell-interior variation of transverse-averaged pressure in each spatial direction is quadratic.
First, it exactly preserves the LLG property of conserving the magnetization magnitude at each spatial location.
Each spatial modelling method produced similar, but unique, maps of soil organic carbon content (SOC%).
Its alarm function is simply composed of the single rate value in each spatial cell.
Next, each spatial point in the space is assigned a Hilbert cell value in the grid.
