Simulate Spatial Data Generation Processes
Simulate an error term
Create a square grid
Create Spatial Lags of variables
Calculate the effect of spatially lagged X variables
Simulate X variables
Calculate predicted X values based on coefficients
Simulate the Spatial Durbin Model
Simulate Spatial Error Process
Simulate General Nested Model
Generate spatial weights matrix for a grid
Simiulate Matrix Exponential Spatial Lag Model
Simulate OLS
Simulate Spatial Lag Model (SAR)
Simulate the Spatial Autoregressive Model with Autoregressive Errors
Simulate Spatial Error Model (SEM)
Simulate Spatially Lagged X Error Model
Simulate Spatially Lagged X (SLX) model
Provides functionality for simulating data generation processes across various spatial regression models, conceptually aligned with the 'dgp' module of the 'Python' library 'spreg' <https://pysal.org/spreg/api.html#dgp>.
Useful links