Open Redcedar Active Analyses Page

Redcedar	Data	Analyses	Instructions

Active Analyses

Below is a list of active analyses and contributors. Each analysis has a page describing the methods of analysis

• Analyses
  • Random forests Analyses
    • climate data
    • soils data
      • xPolaris data
      • gssurgo data - Brendan Farrell
    • topo data
    • combined data
  • Spatial Analyses
    • Spatial autocorrelation
    • Distribution overlays with historic and predicted maps (eg Crookston et al 2009)
      • Maps of where the healthy trees are and where the unhealthy trees are
      • Areas where they agree - focus restoration
      • Areas where they disagree - monitor redcedar to see where they go
    • Cluster analysis
    • Rural vs urban
  • Hypothesis tests
    • Distance from waterways - Rubén Rodriguez
    • Soil Depth
  • Explore one of the above or add your jam here..

To-Do list

• extract topo data
• random forests with topo data
• explore utility of Brendan’s ggsurgo dataset
• random forests with combined datasets
• explore other random forests flavors (ranger and probabilistic forests rather than rf right out of the box)
• map distribution of the 600 trees with water table depth data