diff --git a/NAMESPACE b/NAMESPACE
index 7e3adaa..5b6295a 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -62,6 +62,7 @@ importFrom(dplyr,pull)
 importFrom(dplyr,rename)
 importFrom(dplyr,rename_at)
 importFrom(dplyr,rename_with)
+importFrom(dplyr,row_number)
 importFrom(dplyr,rowwise)
 importFrom(dplyr,select)
 importFrom(dplyr,starts_with)
@@ -143,7 +144,6 @@ importFrom(sf,st_crs)
 importFrom(sf,st_distance)
 importFrom(sf,st_drop_geometry)
 importFrom(sf,st_geometry)
-importFrom(sf,st_join)
 importFrom(sf,st_nearest_feature)
 importFrom(sf,st_polygon)
 importFrom(sf,st_set_crs)
diff --git a/R/splnr_plotting.R b/R/splnr_plotting.R
index 82066b8..5328d66 100644
--- a/R/splnr_plotting.R
+++ b/R/splnr_plotting.R
@@ -643,7 +643,7 @@ splnr_plot_costOverlay <- function(soln,
   gg <- ggplot2::ggplot() +
     ggplot2::theme_bw(base_size = base_size) +
     # Plot the selected solution units in black.
-    ggplot2::geom_sf(data = soln, fill = "black", colour = "black", size = 0.0001) +
+    ggplot2::geom_sf(data = soln, fill = "grey30", colour = "grey30", size = 0.0001) +
     # Overlay the cost data on top of the selected units with transparency.
     ggplot2::geom_sf(data = Cost, ggplot2::aes(fill = !!rlang::sym(costName)), alpha = 0.1, colour = NA, size = 0.0001) +
     # Apply a gradient fill for the cost, with specified low and high colors.
@@ -658,8 +658,8 @@ splnr_plot_costOverlay <- function(soln,
       ),
       oob = scales::squish, # Squish values outside the limits.
       guide = ggplot2::guide_colourbar(
-        barwidth  = ggplot2::unit(20, "lines"), # Twice the width of the climate colourbar (10 lines).
-        barheight = ggplot2::unit(6, "lines") # Twice the height of the climate colourbar (3 lines).
+        barwidth  = ggplot2::unit(3, "lines"),
+        barheight = ggplot2::unit(10, "lines")
       )
     ) +
     # Set coordinate limits based on the bounding box of the cost data.
diff --git a/man/splnr_arrangeFeatures.Rd b/man/splnr_arrangeFeatures.Rd
index 0feb870..317d65a 100644
--- a/man/splnr_arrangeFeatures.Rd
+++ b/man/splnr_arrangeFeatures.Rd
@@ -30,14 +30,3 @@ Sorting can be beneficial for tasks like debugging, comparing data from
 different runs, or ensuring deterministic behavior in algorithms that
 process spatial units sequentially.
 }
-\examples{
-\dontrun{
-print("Original order:")
-print(dat_species_prob)
-
-# Sort the features.
-df_arranged <- splnr_arrangeFeatures(df = dat_species_prob)
-print("Sorted order:")
-print(df_arranged)
-}
-}
diff --git a/man/splnr_climate_featureApproach.Rd b/man/splnr_climate_featureApproach.Rd
index 194f9c5..68ae397 100644
--- a/man/splnr_climate_featureApproach.Rd
+++ b/man/splnr_climate_featureApproach.Rd
@@ -68,7 +68,7 @@ Feature_result <- splnr_climate_featureApproach(
   percentile    = 35,
   refugiaTarget = 0.3
 )
-out_sf_feature  <- Feature_result$Features
+out_sf_feature <- Feature_result$Features
 targets_feature <- Feature_result$Targets
 }
 }
diff --git a/man/splnr_climate_percentileApproach.Rd b/man/splnr_climate_percentileApproach.Rd
index bb569b8..3c1dee9 100644
--- a/man/splnr_climate_percentileApproach.Rd
+++ b/man/splnr_climate_percentileApproach.Rd
@@ -64,7 +64,7 @@ Percentile_result <- splnr_climate_percentileApproach(
   direction  = 1,
   percentile = 35
 )
-out_sf_percentile  <- Percentile_result$Features
+out_sf_percentile <- Percentile_result$Features
 targets_percentile <- Percentile_result$Targets
 }
 }
diff --git a/man/splnr_climate_priorityAreaApproach.Rd b/man/splnr_climate_priorityAreaApproach.Rd
index 21c14c0..f042a3f 100644
--- a/man/splnr_climate_priorityAreaApproach.Rd
+++ b/man/splnr_climate_priorityAreaApproach.Rd
@@ -68,7 +68,7 @@ CPA_result <- splnr_climate_priorityAreaApproach(
   percentile    = 5,
   refugiaTarget = 1
 )
-out_sf_cpa    <- CPA_result$Features
-targets_cpa   <- CPA_result$Targets
+out_sf_cpa <- CPA_result$Features
+targets_cpa <- CPA_result$Targets
 }
 }
diff --git a/man/splnr_get_IUCNRedList.Rd b/man/splnr_get_IUCNRedList.Rd
index 744f0bd..66fc8ae 100644
--- a/man/splnr_get_IUCNRedList.Rd
+++ b/man/splnr_get_IUCNRedList.Rd
@@ -58,9 +58,11 @@ present in the IUCN Red List database.
 # For example: Sys.setenv(IUCN_REDLIST_KEY = "YOUR_API_KEY_HERE")
 
 # Example: Create a dataframe with species names and retrieve their IUCN Red List categories.
-df_species_redlist <- data.frame(Species = c("Diomedea exulans",
-                                              "Hippocampus kuda",
-                                              "Squatina squatina")) \%>\%
+df_species_redlist <- data.frame(Species = c(
+  "Diomedea exulans",
+  "Hippocampus kuda",
+  "Squatina squatina"
+)) \%>\%
   splnr_get_IUCNRedList()
 print(df_species_redlist)
 
diff --git a/man/splnr_get_distCoast.Rd b/man/splnr_get_distCoast.Rd
index 7cb464e..22f57b2 100644
--- a/man/splnr_get_distCoast.Rd
+++ b/man/splnr_get_distCoast.Rd
@@ -59,7 +59,7 @@ landmass <- rnaturalearth::ne_countries(
 )
 
 if (exists("dat_sf") && exists("landmass")) {
-   # Transform landmass to the same CRS as the planning units
+  # Transform landmass to the same CRS as the planning units
   landmass_proj <- sf::st_transform(landmass, sf::st_crs(dat_sf))
   dat_sf_custom_coast <- splnr_get_distCoast(dat_sf, custom_coast = landmass_proj)
   summary(dat_sf_custom_coast$coastDistance_km)
diff --git a/man/splnr_get_gfw.Rd b/man/splnr_get_gfw.Rd
index c99b60d..f6a5f4d 100644
--- a/man/splnr_get_gfw.Rd
+++ b/man/splnr_get_gfw.Rd
@@ -81,7 +81,7 @@ inclusive in the data recovery.
 # Example: Retrieve yearly GFW data for Australia, transformed to a
 # Mollweide projection (ESRI:54009) and compressed (aggregated) by location.
 gfw_data <- splnr_get_gfw(
-  region = 'Australia',
+  region = "Australia",
   start_date = "2021-01-01",
   end_date = "2022-12-31",
   temp_res = "YEARLY",
diff --git a/man/splnr_gg_add.Rd b/man/splnr_gg_add.Rd
index 781b23c..3092260 100644
--- a/man/splnr_gg_add.Rd
+++ b/man/splnr_gg_add.Rd
@@ -32,6 +32,7 @@ splnr_gg_add(
   colorLockOut = "black",
   legendLockOut = "",
   labelLockOut = "",
+  base_size = 14,
   ggtheme = "Default"
 )
 }
@@ -130,6 +131,10 @@ labels (e.g. \code{c(Shipping_Lane = "Shipping Lane")}).
 When a single string is supplied it is used as the label for all areas.
 Defaults to \code{""}.}
 
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()} when \code{ggtheme = "Default"}. All text elements scale
+proportionally from this value. Defaults to \code{14}.}
+
 \item{ggtheme}{The \code{ggplot2} theme to apply. Can be:
 \itemize{
 \item \code{NA} or \code{FALSE}: No theme is applied, using \code{ggplot2} defaults.
diff --git a/man/splnr_plot.Rd b/man/splnr_plot.Rd
index 5d7f045..d04d395 100644
--- a/man/splnr_plot.Rd
+++ b/man/splnr_plot.Rd
@@ -11,7 +11,8 @@ splnr_plot(
   colourVals = c("#c6dbef", "#3182bd"),
   plotTitle = "",
   legendTitle = NULL,
-  legendLabels = NULL
+  legendLabels = NULL,
+  base_size = 14
 )
 
 splnr_plot(
@@ -21,7 +22,8 @@ splnr_plot(
   colourVals = c("#c6dbef", "#3182bd"),
   plotTitle = "",
   legendTitle = NULL,
-  legendLabels = NULL
+  legendLabels = NULL,
+  base_size = 14
 )
 }
 \arguments{
@@ -51,6 +53,10 @@ a default title will be used based on the data type.}
 \item{legendLabels}{A character vector of strings to use for the legend labels,
 particularly useful for binary or logical data (e.g., \code{c("Absent", "Present")}).
 If \code{NULL}, default labels are used for binary/logical plots.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the spatial plot.
diff --git a/man/splnr_plot_circBplot.Rd b/man/splnr_plot_circBplot.Rd
index 5d2c7b5..e5796ab 100644
--- a/man/splnr_plot_circBplot.Rd
+++ b/man/splnr_plot_circBplot.Rd
@@ -11,7 +11,8 @@ splnr_plot_circBplot(
   indicateTargets = TRUE,
   impTarget = NA,
   repTarget = NA,
-  colTarget = "red"
+  colTarget = "red",
+  base_size = 14
 )
 }
 \arguments{
@@ -41,6 +42,10 @@ percentage for 'representative' features. Required if \code{indicateTargets} is
 
 \item{colTarget}{A \link[base:character]{character} string specifying the color
 for the target indicator lines.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_minimal()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \link[ggplot2:ggplot]{ggplot2::ggplot} object of the circular bar plot.
diff --git a/man/splnr_plot_climData.Rd b/man/splnr_plot_climData.Rd
index d750e15..5624daa 100644
--- a/man/splnr_plot_climData.Rd
+++ b/man/splnr_plot_climData.Rd
@@ -9,7 +9,8 @@ splnr_plot_climData(
   colInterest,
   colorMap = "C",
   plotTitle = " ",
-  legendTitle = "Climate metric"
+  legendTitle = "Climate metric",
+  base_size = 14
 )
 }
 \arguments{
@@ -29,6 +30,10 @@ Defaults to \code{" "} (a single space, effectively no subtitle).}
 
 \item{legendTitle}{A character string for the title of the legend.
 Defaults to \code{"Climate metric"}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the spatial plot of the climate metric.
diff --git a/man/splnr_plot_climKernelDensity.Rd b/man/splnr_plot_climKernelDensity.Rd
index 32bd243..a868f03 100644
--- a/man/splnr_plot_climKernelDensity.Rd
+++ b/man/splnr_plot_climKernelDensity.Rd
@@ -6,25 +6,29 @@
 \usage{
 splnr_plot_climKernelDensity(
   soln,
-  solution_names = "solution_1",
-  climate_names = "metric",
+  solution_name = "solution_1",
+  climate_name = "metric",
   type = "Normal",
   colorMap = "C",
   legendTitle = expression(" °C y"^"-1" * ""),
-  xAxisLab = expression("Climate warming ( °C y"^"-1" * ")")
+  xAxisLab = expression("Climate warming ( °C y"^"-1" * ")"),
+  base_size = 14
 )
 }
 \arguments{
-\item{soln}{For \code{type = "Normal"}: A \code{list} of \code{prioritizr} solution objects
-(e.g., \code{list(s1, s2)}). Each solution must contain a \code{metric} column and
-a \code{solution_1} column.
-For \code{type = "Basic"}: A single \code{prioritizr} solution \code{sf} object.}
+\item{soln}{A single \code{prioritizr} solution object (\code{sf} or \code{data.frame}).
+For \code{type = "Normal"}: must contain the columns named by \code{solution_name}
+and \code{climate_name}.
+For \code{type = "Basic"}: must be an \code{sf} object with \code{solution_1} and
+\code{metric} columns.}
 
-\item{solution_names}{A character vector of names corresponding to each solution in
-\code{soln} when \code{type = "Normal"}. Not used for \code{type = "Basic"}.
-Defaults to \code{NA}.}
+\item{solution_name}{A scalar character string naming the solution column
+(0/1 or logical) in \code{soln}. Used only for \code{type = "Normal"}.
+Defaults to \code{"solution_1"}.}
 
-\item{climate_names}{A character string of the name of the climate}
+\item{climate_name}{A scalar character string naming the climate metric
+column (numeric) in \code{soln}. Used only for \code{type = "Normal"}.
+Defaults to \code{"metric"}.}
 
 \item{type}{A character string specifying the plotting style. Must be either
 \code{"Normal"} or \code{"Basic"}. Defaults to \code{"Normal"}.}
@@ -34,36 +38,39 @@ Defaults to \code{NA}.}
 \url{https://ggplot2.tidyverse.org/reference/scale_viridis.html} for all options.
 Defaults to \code{"C"}.}
 
-\item{legendTitle}{A character string or \code{expression} for the title of the legend.
-Defaults to \code{expression(" \\u00B0C y"^"-1" * "")}, representing "°C year⁻¹".}
+\item{legendTitle}{A character string or \code{expression} for the title of the
+viridis colour bar legend. Defaults to
+\code{expression(" \\u00B0C y"^"-1" * "")}, representing "°C year⁻¹".}
 
-\item{xAxisLab}{A character string or \code{expression} for the x-axis label,
-depending on the climate metric input. Defaults to
-\code{expression("Climate warming ( \\u00B0C y"^"-1" * ")")}.}
+\item{xAxisLab}{A character string or \code{expression} for the x-axis label.
+Defaults to \code{expression("Climate warming ( \\u00B0C y"^"-1" * ")")}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the kernel density plot.
 }
 \description{
-\code{splnr_plot_climKernelDensity()} generates kernel density plots for
-climate-smart spatial plans, offering two distinct plotting styles:
-"Normal" (for publication-quality comparison of multiple solutions) and
-"Basic" (for simplified visualization for stakeholders).
+\code{splnr_plot_climKernelDensity()} generates kernel density plots for a single
+climate-smart spatial plan, offering two distinct plotting styles:
+"Normal" (for publication-quality visualisation) and "Basic" (for simplified
+visualisation for stakeholders).
 }
 \details{
-This wrapper function intelligently dispatches to either
+This wrapper function dispatches to either
 \code{splnr_plot_climKernelDensity_Fancy()} (for \code{type = "Normal"}) or
 \code{splnr_plot_climKernelDensity_Basic()} (for \code{type = "Basic"}) based on the
 \code{type} parameter.
 
-The "Normal" (Fancy) style is suitable for detailed comparisons,
-accommodating a list of solutions and custom axis labels, while the "Basic"
-style is streamlined for clarity and quick interpretation, ideal for
-stakeholder engagement.
+The "Normal" style produces a ridge plot with a viridis gradient fill for
+selected planning units, a grey dotted ridge for unselected units, vertical
+median lines, and a categorical legend. The "Basic" style is streamlined for
+clarity and quick interpretation.
 
-Both underlying functions require a \code{prioritizr} solution containing a
-climate metric column with climate metric information and a prioritizr solution column
-indicating selected planning units.
+To compare two solutions side-by-side, call this function once per solution
+and combine the results with \code{patchwork::wrap_plots()}.
 }
 \examples{
 \dontrun{
@@ -86,10 +93,15 @@ CPA <- splnr_climate_priorityAreaApproach(
   refugiaTarget = 1
 )
 
-# Join climate metric to features for the problem
 out_sf <- CPA$Features \%>\%
-  dplyr::mutate(Cost_None = rep(1, dim(.)[[1]])) \%>\% # Ensure enough costs for PUs
-  sf::st_join(dat_clim, join = sf::st_equals)
+  dplyr::mutate(Cost_None = 1, .row_id = dplyr::row_number()) \%>\%
+  dplyr::left_join(
+    dat_clim \%>\%
+      sf::st_drop_geometry() \%>\%
+      dplyr::mutate(.row_id = dplyr::row_number()),
+    by = ".row_id"
+  ) \%>\%
+  dplyr::select(-".row_id")
 
 # Define features for the prioritizr problem
 usedFeatures <- out_sf \%>\%
@@ -110,28 +122,38 @@ dat_solnClim <- prioritizr::solve.ConservationProblem(p1)
 plot_basic_kde <- splnr_plot_climKernelDensity(soln = dat_solnClim, type = "Basic")
 print(plot_basic_kde)
 
-# Example 2: Normal (Fancy) kernel density plot for a single solution
-plot_normal_kde_single <- splnr_plot_climKernelDensity(
-  soln = list(dat_solnClim),
-  solution_names = c("Solution 1"),
+# Example 2: Normal (Fancy) kernel density plot
+plot_normal_kde <- splnr_plot_climKernelDensity(
+  soln = dat_solnClim,
   type = "Normal"
 )
-print(plot_normal_kde_single)
+print(plot_normal_kde)
 
-# Example 3: Normal (Fancy) plot comparing two solutions (create a dummy second solution)
-# For demonstration, let's create another dummy solution
+# Example 3: Compare two solutions side-by-side using patchwork
 dat_solnClim_2 <- dat_solnClim \%>\%
-  dplyr::mutate(solution_1 = sample(c(0, 1), n(), replace = TRUE)) # Randomize selection
+  dplyr::mutate(solution_1 = sample(c(0L, 1L), dplyr::n(), replace = TRUE))
+
+plot_compare <- patchwork::wrap_plots(
+  splnr_plot_climKernelDensity(
+    soln = dat_solnClim, type = "Normal",
+    legendTitle = "Scenario 1", xAxisLab = "Climate metric"
+  ),
+  splnr_plot_climKernelDensity(
+    soln = dat_solnClim_2, type = "Normal",
+    legendTitle = "Scenario 2", xAxisLab = "Climate metric"
+  ),
+  ncol = 1
+)
+print(plot_compare)
 
-plot_normal_kde_multi <- splnr_plot_climKernelDensity(
-  soln = list(dat_solnClim, dat_solnClim_2),
-  solution_names = c("Solution A", "Solution B"),
-  climate_names = "metric",
+# Example 4: Custom colour map and labels
+plot_custom <- splnr_plot_climKernelDensity(
+  soln = dat_solnClim,
   type = "Normal",
   colorMap = "plasma",
   legendTitle = "Climate Value",
   xAxisLab = "Climate Metric (units)"
 )
-print(plot_normal_kde_multi)
+print(plot_custom)
 }
 }
diff --git a/man/splnr_plot_comparison.Rd b/man/splnr_plot_comparison.Rd
index d66c58c..a37c11a 100644
--- a/man/splnr_plot_comparison.Rd
+++ b/man/splnr_plot_comparison.Rd
@@ -7,7 +7,8 @@
 splnr_plot_comparison(
   soln1,
   soln2,
-  legendTitle = "Scenario 2 compared to Scenario 1:"
+  legendTitle = "Scenario 2 compared to Scenario 1:",
+  base_size = 14
 )
 }
 \arguments{
@@ -19,6 +20,10 @@ with a \code{solution_1} column. This is the solution being compared against \co
 
 \item{legendTitle}{A character string for the title of the legend.
 Defaults to \code{"Scenario 2 compared to Scenario 1:"}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the spatial comparison of the two solutions.
diff --git a/man/splnr_plot_corrMat.Rd b/man/splnr_plot_corrMat.Rd
index 110d9b9..deb60bb 100644
--- a/man/splnr_plot_corrMat.Rd
+++ b/man/splnr_plot_corrMat.Rd
@@ -9,7 +9,8 @@ splnr_plot_corrMat(
   colourGradient = c("#BB4444", "#FFFFFF", "#4477AA"),
   legendTitle = "Correlation \\ncoefficient",
   AxisLabels = NULL,
-  plotTitle = ""
+  plotTitle = "",
+  base_size = 14
 )
 }
 \arguments{
@@ -32,6 +33,10 @@ If \code{NULL} (default), the column names of \code{x} will be used. The length
 this vector must match the number of rows/columns in \code{x}.}
 
 \item{plotTitle}{A character string for the title of the plot. Defaults to \code{""}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the correlation matrix plot.
diff --git a/man/splnr_plot_costOverlay.Rd b/man/splnr_plot_costOverlay.Rd
index 11da0f0..db079b8 100644
--- a/man/splnr_plot_costOverlay.Rd
+++ b/man/splnr_plot_costOverlay.Rd
@@ -9,7 +9,8 @@ splnr_plot_costOverlay(
   cost = NA,
   costName = "Cost",
   legendTitle = "Cost",
-  plotTitle = "Solution overlaid with cost"
+  plotTitle = "Solution overlaid with cost",
+  base_size = 14
 )
 }
 \arguments{
@@ -29,6 +30,10 @@ Defaults to \code{"Cost"}.}
 
 \item{plotTitle}{A character string for the subtitle of the plot.
 Defaults to \code{"Solution overlaid with cost"}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the solution with cost overlay.
diff --git a/man/splnr_plot_featureRep.Rd b/man/splnr_plot_featureRep.Rd
index 6481a21..787c7b2 100644
--- a/man/splnr_plot_featureRep.Rd
+++ b/man/splnr_plot_featureRep.Rd
@@ -14,6 +14,7 @@ splnr_plot_featureRep(
   showTarget = NA,
   plotTitle = "",
   sort_by = "category",
+  base_size = 14,
   ...
 )
 }
@@ -54,6 +55,10 @@ by which to sort the features on the x-axis. Accepted values include:
 \code{"category"}, \code{"feature"}, \code{"target"}, \code{"representation"} (\code{relative_held}),
 or \code{"difference"} (between representation and target).}
 
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
+
 \item{...}{Other arguments passed on to \code{\link[ggplot2:theme]{ggplot2::theme()}} to customize the plot's theme.}
 }
 \value{
diff --git a/man/splnr_plot_importanceScore.Rd b/man/splnr_plot_importanceScore.Rd
index 7d09828..69253c9 100644
--- a/man/splnr_plot_importanceScore.Rd
+++ b/man/splnr_plot_importanceScore.Rd
@@ -11,7 +11,8 @@ splnr_plot_importanceScore(
   plotTitle = "",
   colorMap = "A",
   decimals = 4,
-  legendTitle = "Importance Score"
+  legendTitle = "Importance Score",
+  base_size = 14
 )
 }
 \arguments{
@@ -36,6 +37,10 @@ Defaults to \code{4}.}
 
 \item{legendTitle}{A character string for the title of the legend.
 Defaults to \code{"Importance Score"}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the plot of importance scores.
diff --git a/man/splnr_plot_selectionFreq.Rd b/man/splnr_plot_selectionFreq.Rd
index 66c0521..1857ba5 100644
--- a/man/splnr_plot_selectionFreq.Rd
+++ b/man/splnr_plot_selectionFreq.Rd
@@ -8,7 +8,8 @@ splnr_plot_selectionFreq(
   selFreq,
   plotTitle = "",
   paletteName = "Greens",
-  legendTitle = "Selection \\nFrequency"
+  legendTitle = "Selection \\nFrequency",
+  base_size = 14
 )
 }
 \arguments{
@@ -24,6 +25,10 @@ Defaults to \code{"Greens"}.}
 
 \item{legendTitle}{A character string for the title of the legend.
 Defaults to \code{"Selection \\nFrequency"}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the plot of Planning Unit selection frequency.
diff --git a/man/splnr_plot_solution.Rd b/man/splnr_plot_solution.Rd
index b544818..3fe6879 100644
--- a/man/splnr_plot_solution.Rd
+++ b/man/splnr_plot_solution.Rd
@@ -11,7 +11,8 @@ splnr_plot_solution(
   legendLabels = c("Not selected", "Selected"),
   plotTitle = "Solution",
   legendTitle = "Planning Units",
-  zones = FALSE
+  zones = FALSE,
+  base_size = 14
 )
 }
 \arguments{
@@ -37,6 +38,10 @@ Defaults to \code{"Planning Units"}.}
 
 \item{zones}{A logical value. Set to \code{TRUE} if the \code{prioritizr} solution
 contains multiple zones (i.e., it's a multi-zone problem). Defaults to \code{FALSE}.}
+
+\item{base_size}{A numeric value for the base font size (in points) passed to
+\code{ggplot2::theme_bw()}. All text elements scale proportionally from this value.
+Defaults to \code{14}.}
 }
 \value{
 A \code{ggplot} object representing the plot of the conservation solution.
diff --git a/man/splnr_scale_01.Rd b/man/splnr_scale_01.Rd
index 3206582..51111c5 100644
--- a/man/splnr_scale_01.Rd
+++ b/man/splnr_scale_01.Rd
@@ -36,15 +36,3 @@ already within the desired range.
 This approach ensures that the data is scaled appropriately without
 hardcoding a fixed division factor.
 }
-\examples{
-\dontrun{
-# Scale the 'Spp1' column.
-df_scaled_spp1 <- splnr_scale_01(dat = dat_species_prob, col_name = "Spp1")
-print(df_scaled_spp1)
-
-# Example where max is already <= 1
-df_already_scaled <- dat_species_prob \%>\% dplyr::mutate(Spp1 = Spp1 / 100)
-df_no_change <- splnr_scale_01(dat = df_already_scaled, col_name = "Spp1")
-print(df_no_change) # Spp1 values should remain unchanged
-}
-}
diff --git a/man/splnr_targets_byIUCN.Rd b/man/splnr_targets_byIUCN.Rd
index 13acb7b..8c53077 100644
--- a/man/splnr_targets_byIUCN.Rd
+++ b/man/splnr_targets_byIUCN.Rd
@@ -57,8 +57,10 @@ single \code{IUCN_target} is provided) are: "EX" (Extinct), "EW" (Extinct in the
 # Example 1: Assigning specific targets to categories
 # Create a dummy dataframe resembling output from splnr_get_IUCNRedList
 df_species_iucn <- data.frame(
-  Species = c("Diomedea exulans", "Hippocampus kuda",
-              "Squatina squatina", "Common Dolphin"),
+  Species = c(
+    "Diomedea exulans", "Hippocampus kuda",
+    "Squatina squatina", "Common Dolphin"
+  ),
   IUCN_Category = c("VU", "EN", "CR", "LC")
 )