Mapping Riparian Old-Growth Forest

This was an undergraduate project based on a planned forest restoration at Minnesota State University-Moorhead's Regional Science Center. The restoration took data on various geospatial variables and used the Random Forest machine-learning algorithma and R statistical analysis software to estimate where trees along the Buffalo River would have been well-enough established to become "old-growth" prior to European settlement. The probability map shown below is the output of the Random Forest analysis.

The full ArcGIS StoryMap can be viewed here: