pred_target_shp {RiskMap} | R Documentation |
Predictive Target over a Shapefile
Description
Computes predictions over a shapefile using outputs from the
pred_over_grid
function.
This function allows for incorporating covariates, offsets, and optional
unstructured random effects into the predictive target.
Usage
pred_target_shp(
object,
shp,
shp_target = mean,
weights = NULL,
standardize_weights = FALSE,
col_names = NULL,
include_covariates = TRUE,
include_nugget = FALSE,
include_cov_offset = FALSE,
include_re = FALSE,
f_target = NULL,
pd_summary = NULL
)
Arguments
object |
Output from 'pred_over_grid', a RiskMap.pred.re object. |
shp |
Spatial dataset (sf or data.frame) representing the shapefile over which predictions are computed. |
shp_target |
Function defining the aggregation method for shapefile targets (default is mean). |
weights |
Optional numeric vector of weights for spatial predictions. |
standardize_weights |
Logical indicating whether to standardize weights (default is FALSE). |
col_names |
Column name or index in 'shp' containing region names. |
include_covariates |
Logical indicating whether to include covariates in predictions (default is TRUE). |
include_nugget |
Logical indicating whether to include the nugget effect (default is FALSE). |
include_cov_offset |
Logical indicating whether to include covariate offset in predictions (default is FALSE). |
include_re |
Logical indicating whether to include random effects in predictions (default is FALSE). |
f_target |
List of target functions to apply to the linear predictor samples. |
pd_summary |
List of summary functions (e.g., mean, sd) to summarize target samples. |
Details
This function computes predictive targets or summaries over a spatial shapefile using outputs from 'pred_S'. It requires the 'terra' package for spatial data manipulation and should be used with 'sf' or 'data.frame' objects representing the shapefile.
Value
An object of class 'RiskMap_pred_target_shp' containing computed targets, summaries, and associated spatial data.
Author(s)
Emanuele Giorgi e.giorgi@lancaster.ac.uk
Claudio Fronterre c.fronterr@lancaster.ac.uk