Innovation is the coveted fruit of all consultancies. Unfortunately, innovation most often exists within the world of academia, where theoretical concepts appear to supply simple solutions to complex problems. Meteorological data have increasingly complemented data from ground-based sources to the extent of real-time information. R statistical computing language, provide powerful data access, compilation, analysis, and graphing tools. In addition, the time required to perform typical hydrological analyses is significantly reduced by several orders of magnitude when compared to traditional methods. R can bridge the gap between academia and mining consultancy —marrying innovation with simplicity, affordability, and practical application—and help improve our understanding of the global environment.
