From 14ab17902139582a7d42837b3b6758c1232f32ce Mon Sep 17 00:00:00 2001
From: dylanbenzi <dylanbenzi@gmail.com>
Date: Fri, 2 Jan 2026 18:49:41 -0500
Subject: [PATCH] update ggrepel labels

---
 app/storm_report.qmd | 59 +++++++++++++++++++++++++++++++++-----------
 1 file changed, 45 insertions(+), 14 deletions(-)

diff --git a/app/storm_report.qmd b/app/storm_report.qmd
index 59da3c2..9751794 100644
--- a/app/storm_report.qmd
+++ b/app/storm_report.qmd
@@ -467,6 +467,8 @@ for(lf in unique_lf_ids) {
 #| fig-align: "left"
 
 for(lf in unique_lf_ids) {
+  lf_split <- split_full_lf_id(lf)
+
   growth <- get_normalized_metric_growth(storm, lf) %>%
     mutate(
       population_opacity = rescale(
@@ -518,7 +520,6 @@ for(lf in unique_lf_ids) {
   base_growth_map <- ggplot() +
     geom_sf(data = world, fill = "#e5e5e5", color = "#999999", size = 0.3) +
     geom_sf(data = states, fill = NA, color = "#cccccc", size = 0.2) +
-    geom_sf_label(data = growth_sf, aes(label = growth_sf$name)) +
     coord_sf(
       xlim = c(lon_range[1] - lon_padding, lon_range[2] + lon_padding),
       ylim = c(lat_range[1] - lat_padding, lat_range[2] + lat_padding),
@@ -531,24 +532,29 @@ for(lf in unique_lf_ids) {
     theme_minimal() +
     plot_theme
 
+  set.seed(2004)
   h_growth_map <- base_growth_map +
     geom_sf(data = growth_sf, fill = "blue", color = "#e5e5e5", size = 0.5, alpha = growth_sf$housing_opacity) +
-    geom_sf_label(data = growth_sf, aes(label = growth_sf$name)) +
+    ggrepel::geom_label_repel(
+      data = growth_sf,
+      aes(label = name, geometry = geom_wkt),
+      stat = "sf_coordinates"
+    ) +
     labs(
       title = paste(lf, "Housing Growth Map By County"),
     ) +
     coord_sf(
       xlim = c(lon_range[1] - lon_padding, lon_range[2] + lon_padding),
       ylim = c(lat_range[1] - lat_padding, lat_range[2] + lat_padding),
-      expand = FALSE 
+      expand = FALSE
     ) 
 
   latest_opacity <- growth %>%
     filter(year == max(year)) %>%
-    select(county_fips, name, housing_opacity, population_opacity)
+    select(name, housing_opacity, population_opacity)
 
   growth_colored <- growth %>%
-    left_join(latest_opacity, by = c("county_fips", "name"), suffix = c("", "_latest"))
+    left_join(latest_opacity, by = "name", suffix = c("", "_latest"))
 
   housing_colors <- latest_opacity %>%
     distinct(name, housing_opacity) %>%
@@ -565,15 +571,25 @@ for(lf in unique_lf_ids) {
 
   h_plot <- ggplot(growth_colored, aes(x = year, y = normalized_housing,
                                           color = name,
-                                          group = county_fips)) +
+                                          group = name)) +
     geom_line() +
     scale_color_manual(values = housing_color_values) +
     geom_text_repel(
       data = growth_colored %>% filter(year == max(year)),
-      aes(label = name, x = year + 1),
+      aes(label = name),
       direction = "y",
       hjust = 0,
-      size = 3
+      size = 3,
+      color = "black",
+      segment.size = .5,
+      segment.alpha = .5,
+      segment.linetype = "dotted",
+      box.padding = .4,
+      segment.curvature = -0.1,
+      segment.ncp = 3,
+      segment.angle = 20,
+      min.segment.length = 0,
+      xlim = c(max(growth_colored$year), NA)
     ) +
     coord_cartesian(clip = "off") +
     guides(color = "none") +
@@ -589,16 +605,21 @@ for(lf in unique_lf_ids) {
   print(h_growth_map)
   print(h_plot)
 
+  set.seed(2004)
   p_growth_map <- base_growth_map +
     geom_sf(data = growth_sf, fill = "red", color = "#e5e5e5", size = 0.5, alpha = growth_sf$population_opacity) +
-    geom_sf_label(data = growth_sf, aes(label = growth_sf$name)) +
+    ggrepel::geom_label_repel(
+      data = growth_sf,
+      aes(label = name, geometry = geom_wkt),
+      stat = "sf_coordinates"
+    ) +
     labs(
       title = paste(lf, "Population Growth Map By County"),
-    ) + 
+    ) +
     coord_sf(
       xlim = c(lon_range[1] - lon_padding, lon_range[2] + lon_padding),
       ylim = c(lat_range[1] - lat_padding, lat_range[2] + lat_padding),
-      expand = FALSE 
+      expand = FALSE
     ) 
 
   population_colors <- latest_opacity %>%
@@ -616,15 +637,25 @@ for(lf in unique_lf_ids) {
 
   p_plot <- ggplot(growth_colored, aes(x = year, y = normalized_population,
                                           color = name,
-                                          group = county_fips)) +
+                                          group = name)) +
     geom_line() +
     scale_color_manual(values = population_color_values) +
     geom_text_repel(
       data = growth_colored %>% filter(year == max(year)),
-      aes(label = name, x = year + 1),
+      aes(label = name),
       direction = "y",
       hjust = 0,
-      size = 3
+      size = 3,
+      color = "black",
+      segment.size = .5,
+      segment.alpha = .5,
+      segment.linetype = "dotted",
+      box.padding = .4,
+      segment.curvature = -0.1,
+      segment.ncp = 3,
+      segment.angle = 20,
+      min.segment.length = 0,
+      xlim = c(max(growth_colored$year), NA)
     ) +
     coord_cartesian(clip = "off") +
     guides(color = "none") +