as.disag_data: Function to fit the disaggregation model
In disaggregation: Disaggregation Modelling

as.disag_data

R Documentation

Function to fit the disaggregation model

Description

Function to fit the disaggregation model

Usage

as.disag_data(
  polygon_shapefile,
  shapefile_names,
  covariate_rasters,
  polygon_data,
  covariate_data,
  aggregation_pixels,
  coordsForFit,
  coordsForPrediction,
  startendindex,
  mesh = NULL
)

Arguments

`polygon_shapefile`	sf object containing the response data
`shapefile_names`	List of 2: polygon id variable name and response variable name from x
`covariate_rasters`	SpatRaster of covariates
`polygon_data`	data.frame with two columns: polygon id and response
`covariate_data`	data.frame with cell id, polygon id and covariate columns
`aggregation_pixels`	vector with value of aggregation raster at each pixel
`coordsForFit`	coordinates of the covariate data points within the polygons in x
`coordsForPrediction`	coordinates of the covariate data points in the whole raster extent
`startendindex`	matrix containing the start and end index for each polygon
`mesh`	inla.mesh object to use in the fit

Value

A list is returned of class disag_data. The functions summary, print and plot can be used on disag_data. The list of class disag_data contains:

`x`	The sf object used as an input.
`covariate_rasters`	The SpatRaster used as an input.
`polygon_data`	A data frame with columns of area_id, response and N (sample size: all NAs unless using binomial data). Each row represents a polygon.
`covariate_data`	A data frame with columns of area_id, cell_id and one for each covariate in covariate_rasters. Each row represents a pixel in a polygon.
`aggregation_pixels`	An array with the value of the aggregation raster for each pixel in the same order as the rows of covariate_data.
`coordsForFit`	A matrix with two columns of x, y coordinates of pixels within the polygons. Used to make the spatial field.
`coordsForPrediction`	A matrix with two columns of x, y coordinates of pixels in the whole Raster. Used to make predictions.
`startendindex`	A matrix with two columns containing the start and end index of the pixels within each polygon.
`mesh`	A INLA mesh to be used for the spatial field of the disaggregation model.