20 April, 2023
Comparisons of communities
Based on the ellipse method
… but with an extra step
Layman metrics
- TA - the area of convex hull containing, in the case of SIBER, the means of the populations that comprise the community.
- dN_range - the distance in units between the min and max y-axis populations means which is most often d15Nitrogen in ecological studies.
- dC_range - the distance in units between the min and max x-axis population means which is most often d13Carbon in ecological studies.
- CD - the mean distance to centroid from the means
- MNND - the mean nearest neighbour distance of the means
- SDNND - the standard deviation of the nearest neighbour distance
Calculate metrics based on ellipses fitted to populations
Fit Bayesian model (dummy slide)
## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 20 ## Unobserved stochastic nodes: 3 ## Total graph size: 35 ## ## Initializing model ## ## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 20 ## Unobserved stochastic nodes: 3 ## Total graph size: 35 ## ## Initializing model ## ## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 20 ## Unobserved stochastic nodes: 3 ## Total graph size: 35 ## ## Initializing model ## ## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 20 ## Unobserved stochastic nodes: 3 ## Total graph size: 35 ## ## Initializing model
## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 8 ## Unobserved stochastic nodes: 3 ## Total graph size: 23 ## ## Initializing model ## ## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 8 ## Unobserved stochastic nodes: 3 ## Total graph size: 23 ## ## Initializing model ## ## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 8 ## Unobserved stochastic nodes: 3 ## Total graph size: 23 ## ## Initializing model ## ## Compiling model graph ## Resolving undeclared variables ## Allocating nodes ## Graph information: ## Observed stochastic nodes: 8 ## Unobserved stochastic nodes: 3 ## Total graph size: 23 ## ## Initializing model
Bayesian Convex Hulls (TA)
And the other 5 metrics
