New ways to visualize and analyze hydrologic time-series data - Application and case studies

A hydrologic time‐series dataset plotted as a raster hydrograph "time map" and analyzed in a 
GIS‐like manner offers water resources scientists and professionals an alternative approach to 
examining time-series data. The techniques discussed can integrate time‐series data from numerous 
sources such as observations, model output, or other time‐based data. Applications include 
multi‐timescale pattern identification, data QA/QC, change in flow plots, and other visualization 
techniques. Two analysis methods presented include a GIS-based approach and the use of 
configuration metrics based on the landscape ecology habitat analysis program FRAGSTATS.