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Scientists within the Geospatial Analyses and Applications Team develop and apply geospatial analytical methods to answer broad-scale questions about source-sink and cause-effect relationships between contaminants and vulnerable communities. Multivariate statistics are used to identify connections between landscape gradients and observational data. These connections are used to develop risk assessments and make predictions across broad, regional scales. Datasets and analytical tools developed by the CTT support multiple projects seeking to understand complex source-sink relationships between observational data and landscape characteristics. Datasets, tools, and methods detailed and stored on this community page...
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