Spatial aliasing occurs when a signal is sampled at a rate insufficient to capture its spatial variations, leading to misinterpretation or loss of information about the signal's true structure. This phenomenon is particularly relevant in fields like digital imaging, radar, and seismology, where accurate spatial representation is crucial.