diff --git a/app/storm_report.qmd b/app/storm_report.qmd
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+---
+title: "`r params$storm_name` `r params$storm_year` STORM REPORT"
+subtitle: "Generated on: `r Sys.Date()`"
+format:
+  pdf:
+    theme: cosmo
+execute:
+  warning: false
+  message: false
+params:
+    storm_basin: AL
+    storm_year: 1900
+    storm_name: GALVESTON
+---
+
+```{r setup}
+#| echo: false
+
+library(ggplot2)
+library(sf)
+library(rnaturalearth)
+library(dplyr)
+
+source(file = "queries.R")
+
+storm <- list(
+    storm_basin = params$storm_basin,
+    storm_year = params$storm_year,
+    storm_name = params$storm_name
+)
+
+unique_lfs <- get_unique_lf_ids(storm)
+
+storm_track <- get_hurdat_track(storm)
+```
+
+```{r track_map}
+#| echo: false
+#| fig-width: 10
+#| fig-height: 8
+
+  # Add color and category classification
+  storm_track <- storm_track %>%
+    mutate(
+      hurricane_category = case_when(
+        storm_status == "HU" & windspeed >= 64 & windspeed <= 82 ~ 1,
+        storm_status == "HU" & windspeed >= 83 & windspeed <= 95 ~ 2,
+        storm_status == "HU" & windspeed >= 96 & windspeed <= 112 ~ 3,
+        storm_status == "HU" & windspeed >= 113 & windspeed <= 136 ~ 4,
+        storm_status == "HU" & windspeed >= 137 ~ 5,
+      ),
+      status_label = case_when(
+        storm_status == "TD" ~ "Tropical Depression (TD)",
+        storm_status == "TS" ~ "Tropical Storm (TS)",
+        hurricane_category == 1 ~ "Hurricane Category 1",
+        hurricane_category == 2 ~ "Hurricane Category 2",
+        hurricane_category == 3 ~ "Hurricane Category 3",
+        hurricane_category == 4 ~ "Hurricane Category 4",
+        hurricane_category == 5 ~ "Hurricane Category 5",
+        storm_status == "EX" ~ "Extratropical Cyclone (EX)",
+        storm_status == "SD" ~ "Subtropical Depression (SD)",
+        storm_status == "SS" ~ "Subtropical Storm (SS)",
+        storm_status %in% c("LO", "WV", "DB") ~ "Low/Wave/Disturbance",
+        TRUE ~ "Missing Data"
+      ),
+      line_color = case_when(
+        storm_status == "TD" ~ "#2AFF00",
+        storm_status == "TS" ~ "#FFD020",
+        hurricane_category == 1 ~ "#FF4343",
+        hurricane_category == 2 ~ "#FF6FFF",
+        hurricane_category == 3 ~ "#FF23D3",
+        hurricane_category == 4 ~ "#C916FF",
+        hurricane_category == 5 ~ "#FFFFFF",
+        storm_status == "EX" ~ "#202020",
+        storm_status == "SD" ~ "#0055FF",
+        storm_status == "SS" ~ "#6CE2FF",
+        storm_status %in% c("LO", "WV", "DB") ~ "#A1A1A1",
+        TRUE ~ "#FF5C00"
+      )
+    ) %>%
+    arrange(datetime)
+
+  # Create ordered factor for legend
+  storm_track$status_label <- factor(
+    storm_track$status_label,
+    levels = c(
+      "Tropical Depression (TD)",
+      "Tropical Storm (TS)",
+      "Hurricane Category 1",
+      "Hurricane Category 2",
+      "Hurricane Category 3",
+      "Hurricane Category 4",
+      "Hurricane Category 5",
+      "Extratropical Cyclone (EX)",
+      "Subtropical Depression (SD)",
+      "Subtropical Storm (SS)",
+      "Low/Wave/Disturbance",
+      "Missing Data"
+    )
+  )
+
+  world <- ne_countries(scale = "medium", returnclass = "sf")
+  states <- ne_states(returnclass = "sf")
+
+  min_lon_range <- range(-100, -40)
+  min_lat_range <- range(10, 50)
+
+  #lon_range <- range(storm_track$lon)
+  #lat_range <- range(storm_track$lat)
+  #lon_padding <- diff(lon_range) * 0.1
+  #lat_padding <- diff(lat_range) * 0.1
+
+  p <- ggplot() +
+    geom_sf(data = world, fill = "#E5E5E5", color = "#999999", size = 0.3) +
+    geom_sf(data = states, fill = NA, color = "#CCCCCC", size = 0.2) +
+    #coord_sf(
+      #xlim = c(lon_range[1] - lon_padding, lon_range[2] + lon_padding),
+      #ylim = c(lat_range[1] - lat_padding, lat_range[2] + lat_padding),
+      #expand = FALSE
+    #) +
+    coord_sf(
+      xlim = c(min_lon_range[1], min_lon_range[2]),
+      ylim = c(min_lat_range[1], min_lat_range[2]),
+      expand = FALSE
+    ) +
+    theme_minimal() +
+    theme(
+      panel.background = element_rect(fill = "#D4E6F1"),
+      panel.grid.major = element_line(color = "#BBBBBB", size = 0.2),
+      legend.position = "right",
+      legend.key.size = unit(0.4, "cm"),
+      legend.text = element_text(size = 8)
+    )
+
+  if (nrow(storm_track) >= 2) {
+    for (i in 1:(nrow(storm_track) - 1)) {
+      segment_data <- storm_track[i:(i + 1), ]
+      p <- p +
+        geom_path(
+          data = segment_data,
+          aes(x = lon, y = lat),
+          color = storm_track$line_color[i],
+          size = 1
+        )
+    }
+  }
+
+  p <- p +
+    geom_point(
+      data = storm_track,
+      aes(x = lon, y = lat, color = status_label),
+      size = 1.5
+    )
+
+  landfall_data <- storm_track %>%
+    filter(record_identifier == "L")
+
+  if (nrow(landfall_data) > 0) {
+    landfall_data <- landfall_data %>%
+      mutate(rmw_degrees = rmw_meters / 111320)
+
+    p <- p +
+      geom_point(
+        data = landfall_data,
+        aes(x = lon, y = lat),
+        color = landfall_data$line_color,
+        size = 4,
+        shape = 19
+      ) +
+      geom_point(
+        data = landfall_data,
+        aes(x = lon, y = lat),
+        color = landfall_data$line_color,
+        size = landfall_data$rmw_degrees * 100,
+        shape = 1,
+        stroke = 1.5,
+        alpha = 0.5
+      )
+  }
+
+  color_values <- c(
+    "Tropical Depression (TD)" = "#2AFF00",
+    "Tropical Storm (TS)" = "#FFD020",
+    "Hurricane Category 1" = "#FF4343",
+    "Hurricane Category 2" = "#FF6FFF",
+    "Hurricane Category 3" = "#FF23D3",
+    "Hurricane Category 4" = "#C916FF",
+    "Hurricane Category 5" = "#FFFFFF",
+    "Extratropical Cyclone (EX)" = "#202020",
+    "Subtropical Depression (SD)" = "#0055FF",
+    "Subtropical Storm (SS)" = "#6CE2FF",
+    "Low/Wave/Disturbance" = "#A1A1A1",
+    "Missing Data" = "#FF5C00"
+  )
+
+  p <- p +
+    scale_color_manual(
+      name = "Storm Status",
+      values = color_values,
+      breaks = names(color_values),
+      drop = FALSE
+    ) +
+    labs(
+      title = paste(params$storm_name, params$storm_year),
+      x = "Longitude",
+      y = "Latitude"
+    )
+
+  print(p)
+```
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