| Abstract: | Various technologies pertaining to automatic relative volatility and
relative amplitude detection are described herein. A spectral density of
a geospatial temporal dataset is computed, and one or more frequencies of
the dataset are identified. A volatility period of interest is calculated
based upon the frequencies, and volatility thresholds are computed based
upon the volatility period of interest. One or more periods of potential
interest are detected in the dataset based upon the geospatial temporal
data and the volatility thresholds. An indication of the periods of
interest, an occurrence of an event captured in the dataset, or a
prediction of an occurrence of an event that is of potential interest to
an analyst is output. |