add better markers and path to storm track map

dashboard.Rmd

@@ -163,13 +163,7 @@ katrinaLfTwoCountyMetrics <- metrics.pop_and_housing %>%
 
 ###### REACTIVE VALUES 
 
-storm_selection <- reactiveValues(
+
-  storm_year = NULL,
-  storm_name = NULL,
-  storm_basin = NULL,
-  lf_id = NULL,
-  is_selected = FALSE
-)
 
 ######
 
@@ -209,7 +203,7 @@ loss_storms <- econ.storm_base_loss %>%
     mutate(hurdatId = paste0(storm_basin, storm_number, storm_year)), 
     by = c("storm_basin", "storm_year", "storm_name")) %>% 
   select(
-    hurdatId, storm_name, storm_year
+    hurdatId, storm_basin, storm_name, storm_year
   ) %>% 
   collect()
 
@@ -262,6 +256,15 @@ normalized_losses_2024 <- econ.normalized_landfalls %>%
   ) %>% 
   filter(!is.na(mmh) & !is.na(mmp)) %>% 
   collect()
+
+storm_selection <- reactiveValues(
+  storm_year = NULL,
+  storm_name = NULL,
+  storm_basin = NULL,
+  lf_id = NULL,
+  is_selected = FALSE,
+  is_table_selection = FALSE,
+)
 ```
 
 ```{r}
@@ -397,7 +400,7 @@ Col {data-width=500}
 ```{r}
 fluidRow(
   column(6, 
-         h5("Select Storm Name and Year"),
+         selectInput("stormBasin", "Select Basin", choices = "AL"),
          selectInput("stormYear", "Select Year", choices = loss_storms$storm_year),
          selectInput("stormName", "Select Storm", choices = NULL),
          actionButton("selectStorm", "Submit", class = "btn-primary")
@@ -409,47 +412,36 @@ fluidRow(
   )
 )
 
-output$storm_selector_table <- renderDT({
-  datatable(
-    loss_storms,
-    rownames = F,
-    options = list(
-      pageLength = 1000,
-      order = list(2, 'desc'),
-      searching = F,
-      paging = F,
-      info = F,
-      lengthChange = F,
-      server = T
-    )
-  )
-})
-
 observeEvent(input$stormYear, {
   stormsByChosenYear <- loss_storms[loss_storms$storm_year == input$stormYear, ]
   
+  stormsByYear <- loss_storms %>% filter(storm_year == input$stormYear)
+
   updateSelectInput(session, "stormName", 
-                    choices = stormsByChosenYear$storm_name,
+                    choices = stormsByYear$storm_name,
-                    selected = NULL)
+                    selected = NULL
+                    )
 })
 
 observeEvent(input$selectStorm, {
+  storm_selection$storm_basin <- input$stormBasin
   storm_selection$storm_year <- input$stormYear
   storm_selection$storm_name <- input$stormName
-  storm_selection$storm_basin <- "AL"
   storm_selection$is_selected <- TRUE
   
   showNotification("Storm selection updated!", type = "message")
 })
 
+
 ```
 
 ### All Storms {data-height=500 .no-padding}
 ```{r}
-output$allStorms <- renderDT({
+output$normalized_storms_table <- renderDT({
   datatable(
     normalized_losses_2024 %>% select(Storm = storm_name, Year = storm_year, MMH24 = mmh, MMP24 = mmp),
     rownames = F,
+    selection = "single",
     options = list(
       pageLength = 1000,
       order = list(2, 'desc'),
@@ -463,7 +455,7 @@ output$allStorms <- renderDT({
     formatCurrency(c("MMH24", "MMP24"), "$", digits = 0)
 })
 
-DTOutput("allStorms")
+DTOutput("normalized_storms_table")
 ```
 
 
@@ -666,8 +658,6 @@ Col {data-width=500}
 
 ### Fatalities {data-height=200}
 ```{r}
-# TODO: fatalities dashboard
-
 fluidRow(
   column(6,
          HTML('
@@ -734,20 +724,65 @@ DTOutput("landfalls_table")
 
 ### Storm Track {data-height=500 .no-padding}
 ```{r}
+storm_track <- reactive({
+  req(storm_selection$is_selected)
+  
+  result <- hurdat.best_track %>% 
+    filter(
+      storm_basin == storm_selection$storm_basin,
+      storm_year == storm_selection$storm_year,
+      storm_name == storm_selection$storm_name
+    ) %>% 
+    mutate(
+      lon = sql("ST_X(ST_Transform(location::geometry, 4326))"),
+      lat = sql("ST_Y(ST_Transform(location::geometry, 4326))"),
+      rmw_meters = (rmw * 1852)
+    ) %>% 
+    select(
+      datetime,
+      lon,
+      lat,
+      rmw,
+      record_identifier,
+      rmw_meters
+    ) %>% 
+    collect()
+  
+  cat(str(result))
+  
+  return(result)
+})
+
 output$trackMap <- renderLeaflet({
   leaflet() %>% 
     addProviderTiles("CartoDB.Positron", option = providerTileOptions(minZoom = 2, maxZoom = 18)) %>% 
     setView(lng = -80, lat = 32, zoom = 4) %>% 
+    addPolylines(
+      data = storm_track(),
+      lng = ~lon,
+      lat = ~lat,
+      weight = 4,
+      color = "blue"
+    ) %>% 
     addCircleMarkers(
-      #data = katrinaTrack,
+      data = storm_track() %>% filter(record_identifier == "L"),
-      #lng = ~Longitude,
-      #lat = ~Latitude,
-      data = selected.best_track(),
       lng = ~lon,
       lat = ~lat,
       radius = 5,
-      color = ~ifelse(record_identifier == "L", "red", "blue"),
+      weight = 0,
-      fillColor = ~ifelse(record_identifier == "L", "red", "blue")
+      color = "red",
+      fillColor = "red",
+      fillOpacity = 0.8
+    ) %>% 
+    addCircles(
+      data = storm_track() %>% filter(record_identifier == "L"),
+      lng = ~lon,
+      lat = ~lat,
+      radius = ~rmw_meters,
+      weight = 2,
+      color = "red",
+      fillColor = "red",
+      fillOpacity = 0.3
     ) 
 })