autoplot: Plot prediction results

In sandwichr: Spatial Prediction Based on Spatial Stratified Heterogeneity

Plot prediction results

Description

Plot the estimated mean and standard error for each reporting unit.

Usage

## S3 method for class 'sandwich.model'
autoplot(
  object,
  titles = c("Mean", "Standard Error"),
  labels = c("", ""),
  border_color = "darkgray",
  poly_fill_mean = c("white", "red"),
  poly_fill_se = c("white", "blue"),
  ...
)

Arguments

object	A sandwich.model object generated by sandwich.model.
titles	A list of texts for the titles.
labels	A list of texts for the legend labels.
border_color	Color for outlines of the polygons.
poly_fill_mean	A list of colors for low and high ends of the gradient in the mapping of means.
poly_fill_se	A list of colors for low and high ends of the gradient in the mapping of standard errors.
...	Ignored.

Value

A list of ggplot objects.

References

Wang, J. F., Haining, R., Liu, T. J., Li, L. F., & Jiang, C. S. (2013). Sandwich estimation for multi-unit reporting on a stratified heterogeneous surface. Environment and Planning A, 45(10), 2515-2534.

See Also

sandwich.model

Examples

library(ggplot2)
data(sim.data)
sim.sw <- sandwich.model(object=sim.data, sampling.attr="Value", type="shp")
ggplot2::autoplot(object=sim.sw)

sandwichr documentation built on April 27, 2023, 1:10 a.m.