spatial association rule mining is an important technique of spatial data mining. Mining spatial association rule is one of the most important branches in the field of spatial data, spatial data mining can extract the spatial patterns and characteristics, general relations of spatial and non spatial data and other data features in common that hidden in spatial database. This paper describes and...

The task of assessing similarity between data sets is common in hydrological modelling. While this has been widely researched for temporal data sets, the similarity between spatial patterns has been largely ignored. This has been due to a lack of spatial pattern data. Today there is widespread use of distributed hydrological models and increasing availability of observed spatial patterns. These...

Evoked and coordinated brain signals often exhibit distinct, individualized spatial and temporal characteristics, such as amplitude and phase couplings across and within spatial channels. In the study of these brain potentials, it is important to characterize both the spatial and temporal morphologies of the responses for a better understanding of both the physiology and function of the brain. ...