example_data

multi_net_usa_ge

germany_grid

usa_net

usa_grid

germany_net

simulation_params

The package uses the same stylized country examples as those presented by
Yang2017;textualspflow.
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 <code><a rd-options="=sp_network_nodes-class" href="/link/sp_network_nodes-class()?package=spflow&version=0.1.0&to=%3Dsp_network_nodes-class" data-mini-rdoc="=sp_network_nodes-class::sp_network_nodes-class()">sp_network_nodes-class()</a></code> objects.
Finally, there is an <code><a rd-options="=sp_multi_network-class" href="/link/sp_multi_network-class()?package=spflow&version=0.1.0&to=%3Dsp_multi_network-class" data-mini-rdoc="=sp_multi_network-class::sp_multi_network-class()">sp_multi_network-class()</a></code> containing the two networks
and four network pair objects based on the same example.
The simulation parameters are given as <code>rho</code> for the auto-regressive
parameter, <code>delta</code> for the impact of the exogenous variables and <code>sd_error</code>
for standard deviation of the simulated Gaussian noise.
They are used to simulate two flow vectors <code>y2</code> and <code>y9</code> for each network
pair inside the <code>multi_net_usa_ge</code>.

datasets

Efficient estimation of spatial econometric models of origin-destination flows, which may exhibit spatial autocorrelation in the dependent variable, the explanatory variables or both.
The model is the one proposed by LeSage and Pace (2008) <doi:10.1111/j.1467-9787.2008.00573.x>, who develop a matrix formulation that exploits the relational structure of flow data.
The estimation procedures follow most closely those outlined by Dargel (2021) (preprint available at <https://www.tse-fr.eu/fr/publications/revisiting-estimation-methods-spatial-econometric-interaction-models>).

Lukas Dargel

spflow

Spatial Econometric Interaction Models

Thibault Laurent

Christine Thomas

Paula Margaretic

Gabriel Watkinson

Roger Bivand

example_data function

An object of class <code>sp_multi_network</code> of length 1.
An object of class <code>sf</code> (inherits from <code>data.frame</code>) with 16 rows and 3 columns.
An object of class <code>sp_network_nodes</code> of length 1.
An object of class <code>sf</code> (inherits from <code>data.frame</code>) with 51 rows and 3 columns.
An object of class <code>sp_network_nodes</code> of length 1.
An object of class <code>list</code> of length 3.

Format

The package uses the same stylized country examples as those presented by
Yang2017;textualspflow.
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 <code><a rd-options='=sp_network_nodes-class' href='sp_network_nodes-class()'>sp_network_nodes-class()</a></code> objects.
Finally, there is an <code><a rd-options='=sp_multi_network-class' href='sp_multi_network-class()'>sp_multi_network-class()</a></code> containing the two networks
and four network pair objects based on the same example.
The simulation parameters are given as <code>rho</code> for the auto-regressive
parameter, <code>delta</code> for the impact of the exogenous variables and <code>sd_error</code>
for standard deviation of the simulated Gaussian noise.
They are used to simulate two flow vectors <code>y2</code> and <code>y9</code> for each network
pair inside the <code>multi_net_usa_ge</code>.

Simulated data for stylized versions of Germany and the USA — example_data

Simulated data for stylized versions of Germany and the USA

example_data: Simulated data for stylized versions of Germany and the USA

Description

Usage

Arguments

Format

References