Visualise the predictions generated by the `st_augment()` function

Usage

st_quickmap_preds(
  output,
  scale_low = "firebrick4",
  scale_mid = "white",
  scale_high = "darkblue",
  scale_midpoint = 0,
  borderwidth = 0.05,
  bordercol = "black",
  legendlimits = "individual",
  titlesize = 12,
  subtitlesize = 10,
  framefill = "white",
  frameline = "black",
  framesize = 1
)

Arguments

output: an augmented `sf` dataframe produced by `st_augment()`.
scale_low: fill of lowest extreme of scale.
scale_mid: fill of midpoint of scale.
scale_high: fill of highest extreme of scale.
scale_midpoint: value of midpoint of scale.
borderwidth: linewidth of borders between units.
bordercol: colour of borders between units.
legendlimits: default `"individual"`. legend of each plot scaled within its own limits. `"minmax"` means all plot have common legend limits according to the global min-max.
titlesize: font size for title.
subtitlesize: font size for subtitle.
framefill: colour for background fill.
frameline: colour for frame.
framesize: line width of frame.

Value

A list of ggplots.

Examples

prepdata <- st_bridges(uk_election,"constituency_name")
mgcv::gam(health_not_good ~
  s(constituency_name, bs='mrf', xt=list(nb=prepdata$nb), k=100), data=prepdata, method="REML") |>
st_augment(uk_election) |>
st_quickmap_preds()
#> [[1]]

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