The package uses the same stylized country examples as those presented by Yang et al. (2017) . The first example is a stylized version of Germany with 16 states. The second example is a stylized version of the USA with 51 states.

We provide spatial objects that contain the geography of our example, as well as two sp_network_nodes-class() objects. Finally, there is an sp_multi_network-class() containing the two networks and four network pair objects based on the same example.

The simulation parameters are given as rho for the auto-regressive parameter, delta for the impact of the exogenous variables and sd_error for standard deviation of the simulated Gaussian noise. They are used to simulate two flow vectors y2 and y9 for each network pair inside the multi_net_usa_ge.

multi_net_usa_ge

germany_grid

usa_net

usa_grid

germany_net

simulation_params

Format

An object of class sp_multi_network of length 1.

An object of class sf (inherits from data.frame) with 16 rows and 3 columns.

An object of class sp_network_nodes of length 1.

An object of class sf (inherits from data.frame) with 51 rows and 3 columns.

An object of class sp_network_nodes of length 1.

An object of class list of length 3.

Source

Simulated data inspired by https://ialab.it.monash.edu/~dwyer/papers/maptrix.pdf

References

Yang Y, Dwyer T, Goodwin S, Marriott K (2017). “Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation.” IEEE Transactions on Visualization and Computer Graphics, 411--420.