plotPred {GeoAdjust}

Plots the predictions and the corresponding uncertainty (coefficient of variation)

Description

Plots the predictions and the corresponding uncertainty (coefficient of variation)

Usage

plotPred(
  pred = NULL,
  predRaster = NULL,
  admin0 = NULL,
  admin1 = NULL,
  admin2 = NULL,
  rmPoly = NULL,
  target_crs = NULL
)

Arguments

pred

A matrix that is the output of predRes() function.

predRaster

The prediction raster that is constructed by the gridCountry() function.

admin0

An sf class MULTIPOLYGON representing the national level (admin0) borders of the country.

admin1

An sf class MULTIPOLYGON representing the first level (admin1) subnational borders of the country.

admin2

An sf class MULTIPOLYGON representing the second level (admin2) subnational borders of the country.

rmPoly

A number referring to the ID number of the admin2 level polygon that needs to be left uncolored. It can be set to NULL as well.

target_crs

A projection string representing the desired coordinate reference system according to which the maps will be created.

Value

A list of two ggplot objects. One of them (ggPred) shows the median predictions and the other one (ggUncertainty) shows the corresponding coefficient of variations across the country, respectively.

Examples

path1 <- system.file("extdata", "examplePredictionResults.rda", package = "GeoAdjust")
path2 <- system.file("extdata", "geoData.rda", package = "GeoAdjust")
load(path1)
load(path2)
crs_KM = "+units=km +proj=utm +zone=37 +ellps=clrk80 +towgs84=-160,-6,-302,0,0,0,0 +no_defs"
exampleGrid <- gridCountry(admin0 = adm0, res = 5, target_crs = crs_KM)
plots = plotPred(pred = examplePredictionResults,
predRaster = exampleGrid[["predRast"]], admin0 = adm0,
admin1 = adm1, target_crs = crs_KM)