System and method for analysis of spatio-temporal data
AssigneeFlorida Atlantic University
InventorsEmmanuelle Tognoli, J. A. Scott Kelso
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Abstract
A system and method of analyzing at least one dataset having temporal and spatial content is provided. A method includes the steps of applying a colorimetric mapping to the dataset based on the spatial content (500), segmenting the dataset (618) into one of a plurality of patterns based on a spatio-temporal analysis of the dataset (604, 606), and analyzing characteristics of each of the plurality of patterns (612-622).
Claims10
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.
A system for analyzing spatio-temporal data, the system comprising:
- a storage element for receiving at least one dataset having temporal and spatial content;
- a processing element configured for:
- 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 each of the plurality of patterns based on said selected characteristics
- 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.
Dependencies are inferred from the claim text.