prep_sar_data2 {geostan} | R Documentation |
Prepare data for SAR model: raster analysis
Description
Prepares a list of data required for using the SAR model; this is for working with (large) raster data files. For non-raster analysis, see prep_sar_data.
Usage
prep_sar_data2(row, col, quiet = FALSE)
Arguments
row |
Number of rows in the raster |
col |
Number of columns in the raster |
quiet |
Controls printing behavior. By default, |
Details
Prepare data for the SAR model when your raw dataset consists of observations on a regular tessellation, such as a raster layer or remotely sensed imagery. The rook criteria is used to determine adjacency. This function uses Equation 5 from Griffith (2000) to calculate the eigenvalues for a row-standardized spatial weights matrix of a P-by-Q dimension regular tessellation.
This function can accommodate very large numbers of observations for use with stan_sar
; for large N data, it is also recommended to use slim = TRUE
or the drop
argument. For details, see: vignette("raster-regression", package = "geostan")
.
Value
A list containing all of the data elements required by the SAR model in stan_sar
.
Source
Griffith, Daniel A. (2000). Eigenfunction properties and approximations of selected incidence matrices employed in spatial analyses. Linear Algebra and its Applications 321 (1-3): 95-112. doi:10.1016/S0024-3795(00)00031-8.
See Also
prep_car_data2
, prep_sar_data
, stan_sar
.
Examples
row = 100
col = 120
sar_dl <- prep_sar_data2(row = row, col = col)