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