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Updated: Dec 12, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
Early classification of spatio-temporal events using partial information
Sevvandi Kandanaarachchi1, Rob J Hyndman2, Kate Smith-Miles3
1School of Science, Mathematical Sciences, RMIT University, Melbourne, Australia.
Abstract:
This paper investigates event extraction and early event classification in contiguous spatio-temporal data streams, where events need to be classified using partial information, i.e. while the event is ongoing. The framework incorporates an event extraction algorithm and an early event classification algorithm. We apply this framework to synthetic and real problems and demonstrate its reliability and broad applicability. The algorithms and data are available in the R package eventstream, and other code in the supplementary material.
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