Sophie Ruehr

Job title: 
Environmental Science, Policy, and Management

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.

Research interests: 

 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