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All functions

as.data.frame(<sim_list>)
Convert a collection of spatial interaction model into a Data Frame
attractiveness()
Extract the attractivenesses from a spatial interaction model object
autoplot(<sim>)
Create a complete ggplot for a spatial interaction model
autoplot(<sim_df>)
Create a complete ggplot for a spatial interaction models data frame
autoplot(<sim_list>)
Create a complete ggplot for a collection of spatial interaction models
blvim()
Compute an equilibrium solution of the Boltzmann–Lotka–Volterra model
costs()
Extract the inverse cost matrix used to compute this model
destination_flow()
Compute the flows incoming at each destination location
destination_names() `destination_names<-`()
Names of destination locations in a spatial interaction model
destination_positions() `destination_positions<-`()
positions of destination locations in a spatial interaction model
diversity()
Compute the diversity of the destination flows in a spatial interaction model
flows()
Extract the flow matrix from a spatial interaction model object
flows_df()
Extract the flow matrix from a spatial interaction model object in data frame format
grid_attractiveness()
Extract all the attractivenesses from a collection of spatial interaction models
grid_blvim()
Compute a collection of Boltzmann–Lotka–Volterra model solutions
grid_destination_flow()
Extract all the destination flows from a collection of spatial interaction models
inverse_cost()
Extract the inverse cost scale parameter used to compute this model
location_names() `location_names<-`()
Names of origin and destination locations in a spatial interaction model
location_positions() `location_positions<-`()
Positions of origin and destination locations in a spatial interaction model
origin_names() `origin_names<-`()
Names of origin locations in a spatial interaction model
origin_positions() `origin_positions<-`()
Positions of origin locations in a spatial interaction model
production()
Extract the production constraints from a spatial interaction model object
return_to_scale()
Extract the return to scale parameter used to compute this model
sim_converged()
Reports whether the spatial interaction model construction converged
sim_df()
Create a spatial interaction models data frame from a collection of interaction models
sim_distance()
Compute all pairwise distances between the spatial interaction models in a collection
sim_is_bipartite()
Reports whether the spatial interaction model is bipartite
sim_iterations()
Returns the number of iterations used to produce this spatial interaction model
static_blvim()
Compute flows between origin and destination locations
terminals()
Compute terminals for a spatial interaction model