st_quickmap_preds {sfislands} | R Documentation |
Visualise the predictions generated by the 'st_augment()' function
Description
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()
[Package sfislands version 1.0.0 Index]