1. A method of analyzing at least one dataset having temporal and spatial content, the method comprising: applying a colorimetric mapping to the at least one dataset based on the spatial content to add colorimetric attributes from a colorimetric space to the at least one dataset, wherein the colorimetric mapping uniquely maps spatial coordinates in a physical space comprising the spatial content of the at least one dataset to spatial coordinates in the colorimetric space for selecting the colorimetric attributes; segmenting the dataset into one of a plurality of patterns based on a spatio-temporal analysis of the dataset; and analyzing characteristics of each of the plurality of patterns, wherein the analyzing comprises: registering characteristics of each of the plurality of patterns in the at least one dataset, performing a statistical analysis of said plurality of patterns, classifying the type of dynamics in each of said plurality of patterns based on a taxonomy of patterns, determining a sequential organization of said plurality of patterns, deciphering a mode of coordination dynamics for each of said plurality of patterns, and estimating a source of observed spatio-temporal activity for each of said plurality of patterns based on said deciphering.