blvim0.1.1 package

Boltzmann–Lotka–Volterra Interaction Model

as.data.frame.sim_list

Coerce to a Data Frame

attractiveness

Extract the attractivenesses from a spatial interaction model object

autoplot.sim_df

Create a complete ggplot for a spatial interaction models data frame

autoplot.sim_list

Create a complete variability for a collection of spatial interaction ...

autoplot.sim

Create a complete ggplot for a spatial interaction model

blvim

Compute an equilibrium solution of the Boltzmann-Lotka-Volterra model

c.sim_list

Combine multiple sim_list objects into a single one

costs

Extract the cost matrix used to compute this model

costs.sim_list

Extract the common cost matrix from a collection of spatial interactio...

destination_flow

Compute the flows incoming at each destination location

destination_names

Names of destination locations in a spatial interaction model

destination_positions

positions of destination locations in a spatial interaction model

diversity

Compute the diversity of the destination locations in a spatial intera...

flows_df

Extract the flow matrix from a spatial interaction model object in dat...

flows

Extract the flow matrix from a spatial interaction model object

fortify.sim_list

Turn a collection of spatial interaction models into a data frame

fortify.sim

Turn a spatial interaction model into a data frame

grid_attractiveness

Extract all the attractivenesses from a collection of spatial interact...

grid_autoplot

Create a complete ggplot for spatial interaction models in a data fram...

grid_blvim

Compute a collection of Boltzmann-Lotka-Volterra model solutions

grid_destination_flow

Extract all the destination flows from a collection of spatial interac...

grid_diversity

Compute diversities for a collection of spatial interaction models

grid_is_terminal

Extract all terminal status from a collection of spatial interaction m...

grid_sim_converged

Reports the convergence statuses of a collection of spatial interactio...

grid_sim_iterations

Returns the number of iterations used to produce of a collection of sp...

grid_var_autoplot

Create a complete variability plot for spatial interaction models in a...

inverse_cost

Extract the inverse cost scale parameter used to compute this model

is_terminal

Report whether locations are terminal sites or not

location_names

Names of origin and destination locations in a spatial interaction mod...

location_positions

Positions of origin and destination locations in a spatial interaction...

median.sim_list

Compute the "median" of a collection of spatial interaction models

names-set-.sim_df

Set the column names of a SIM data frame

nd_graph

Compute the Nystuen and Dacey graph for a spatial interaction model

origin_names

Names of origin locations in a spatial interaction model

origin_positions

Positions of origin locations in a spatial interaction model

production

Extract the production constraints from a spatial interaction model ob...

quantile.sim_list

Compute quantiles of the flows in a collection of spatial interaction ...

return_to_scale

Extract the return to scale parameter used to compute this model

sim_column

Get the collection of spatial interaction models from a SIM data frame

sim_converged

Reports whether the spatial interaction model construction converged

sim_df_extract

Extract or replace parts of a SIM data frame

sim_df

Create a spatial interaction models data frame from a collection of in...

sim_distance

Compute all pairwise distances between the spatial interaction models ...

sim_is_bipartite

Reports whether the spatial interaction model is bipartite

sim_iterations

Returns the number of iterations used to produce this spatial interact...

sim_list

Create a sim_list object from a list of spatial interaction objects

static_blvim

Compute flows between origin and destination locations

summary.sim_list

Summary of a collection of spatial interaction models

terminals

Compute terminals for a spatial interaction model

Estimates Boltzmann–Lotka–Volterra (BLV) interaction model efficiently. Enables programmatic and graphical exploration of the solution space of BLV models when parameters are varied. See Wilson, A. (2008) <dx.doi.org/10.1098/rsif.2007.1288>.

  • Maintainer: Fabrice Rossi
  • License: GPL (>= 3)
  • Last published: 2026-01-14