ACCELERATING LEARNING AND INSIGHT FROM DATA
Data science is an inter-disciplinary field that uses scientific methods, processes, and algorithms to extract knowledge and insights from data - solutions made simpler.
Sediment contamination often reflects a complex timeline of waste management practices, environmental releases, and variability in fate and transport properties throughout a watershed. We utilize a variety of methods to characterize both the timing and relative contributions of different sources to an area of concern. GSI’s scientists have extensive experience applying chemical fingerprinting methods and specialized statistical analysis approaches for pattern recognition of chemical profiles and source apportionment.
Related practice areas include: