Interactive map of interpolated results — plot

Creates an interactive leaflet/mapview map of an interpolated variable. Variables can be referenced by column name, ballot number, candidate name, or party abbreviation. When multiple variables are provided, creates synchronized side-by-side panels via leafsync::sync().

Usage

plot_interactive(
  result,
  variable = NULL,
  quantity = "pct_tract",
  palette = "RdYlBu",
  breaks = "quantile",
  n_breaks = 5L,
  popup_vars = NULL,
  alpha = 0.7,
  legend = TRUE,
  layer_name = NULL,
  basemap = "OpenStreetMap",
  ...
)

Arguments

result: An interpElections_result object.
variable: Variable to map. Accepts a column name, ballot number (numeric), candidate name substring, or party abbreviation. Multiple values create synchronized comparison panels. If NULL, auto-selects the first candidate variable.
quantity: Quantity to map: "pct_tract" (default), "absolute", "pct_muni", "pct_valid", "pct_eligible", "density".
palette: Color palette name. Default: "RdYlBu" (diverging, colorblind-friendly).
breaks: Scale breaks: "quantile" (default), "continuous", "jenks" (requires classInt), or a numeric vector of custom break points.
n_breaks: Number of breaks for "quantile" or "jenks". Default: 5.
popup_vars: Character vector of column names to show in click popups. If NULL, auto-selects census tract ID, the plotted variable, turnout, and calibration columns (capped at 8).
alpha: Fill opacity (0 to 1). Default: 0.7.
legend: Show legend. Default: TRUE.
layer_name: Layer name in the map. NULL = auto-generated from dictionary metadata.
basemap: Base map tile provider. Default: "OpenStreetMap".
...: Additional arguments passed to mapview::mapview().

Value

A mapview object (single variable) or a leafsync object (multiple variables with synchronized panels).

Examples

if (FALSE) { # \dontrun{
result <- interpolate_election_br(3304557, 2022,
                                   keep = "electoral_sf")

# Interactive map by candidate name
plot_interactive(result, variable = "Lula", quantity = "pct_tract")

# Side-by-side comparison (synced panels)
plot_interactive(result, variable = c("Lula", "Bolsonaro"),
                 quantity = "pct_tract")

# Custom popup
plot_interactive(result, variable = "PT",
                 popup_vars = c("code_tract", "PARTY_PT",
                                "QT_COMPARECIMENTO"))
} # }