| Summary: | Beyond just a visual data enhancement of water quality data, the use of hierarchically arranged spatial patterns and sequentially arranged temporal patterns can provide a means of discerning anomalies and correlations among water quality parameters that would otherwise be difficult to distinguish or communicate. Similarly, comparing actual water quality patterns with ideal patterns (generated by models) or abstract patterns (created from hypotheses) can be used to evaluate their relevance to observed datasets. Finally, assessing the connectivity of water quality elements as a coherent network, rather than as isolated data points, can expose feedback loops, disproportionate effects and data limitations.
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