Environmental Data Science

Environmental data science is the array of methods for turning raw data into understanding as applied to environmental research. An exploratory data analysis approach is employed where visualization of data in time and space can lead to insight and hypothesis development. Major topics include time-series analysis, geospatial methods employing open-source tools in the R language, and employing innovations in graphics and maps.