Sophie is interested in water and carbon cycling at local, regional and global scales. She uses remote sensing and eddy co-variance data to resolve land-atmosphere dynamics resulting from groundwater use and climate change. Having worked as a reporter and oral historian, she is also interested in human perceptions of environmental change, especially when these differ from scientific findings.
Python, R, La Tex, Matlab, Data Visualization, Geospatial Data, Maps & Analysis, Means Tests, Regression Analysis, Software Output Interpretation, Spatial statistics, Time series, Bash or Command Line, Excel, Git or Github, Google Earth Engine, MATLAB, RStudio