Updated code to have a separate RData/Rds file to use for the locatio…

…ns on the map. Otherwise it is too slow (I suspect it maps it as many times as there are observations).

02_Cleaning_scripts/WQ_GTMNERR.R

@@ -73,9 +73,25 @@ which(is.na(WQ$long))
 WQ[which(is.na(WQ$lat)),] # duplicates?? Remove for now; emailed Nikki
 WQ <- WQ[-which(is.na(WQ$lat)),]
 
+# Create a separate dataframe with only station info, not the data (makes map
+# too heavy)
+WQ_locations <- WQ %>% 
+  mutate(Year = year(SampleDate)) %>% 
+  select(site_friendly, Year, site_acronym, lat, long, wbid, location) %>% 
+  group_by(site_friendly, site_acronym, lat, long, wbid, location) %>% 
+  summarize(maxYear = max(Year), minYear = min(Year)) 
+
+WQ_data_available <- WQ %>% 
+  mutate(Year = year(SampleDate)) %>% 
+  select(StationCode, Year, SampleType, ComponentShort, ComponentLong, site_friendly, 
+         site_acronym, lat, long, wbid, location) %>% 
+  distinct()
+
 ### 4. Save data ---------------------------------------------------------------
 
 # Save it as an .Rdata (and .Rds?) file so it can be read into the Shiny app
 save(WQ, file = "03_Data_for_app/WQ.RData")
-
 saveRDS(WQ, "03_Data_for_app/WQ.Rds")
+
+save(WQ_locations, file = "03_Data_for_app/WQ_locations.RData")
+saveRDS(WQ_locations, "03_Data_for_app/WQ_locations.Rds")

app.R

@@ -72,11 +72,13 @@ HAB_data_locations <- HAB %>%
     distinct() %>% 
     st_as_sf(coords = c("Longitude", "Latitude"), crs = 4326)
 
+#### WQ locations data ------------------------------------------------
+load("./03_Data_for_app/WQ_locations.RData")
+WQ_data_locations <- WQ_locations %>% 
+  st_as_sf(coords = c("long", "lat"), crs = 4326)
+
 #### WQ data ------------------------------------------------
 load("./03_Data_for_app/WQ.RData")
-WQ_data_locations <- WQ %>% 
-  distinct() %>% 
-  st_as_sf(coords = c("long", "lat"), crs = 4326)
 
 #### GTMNERR shapefile ------------------------------------------------
 GTMNERR <- st_read("./03_Data_for_app/shapefiles_new/GTMNERR.shp")
@@ -178,8 +180,9 @@ server <- function(input, output) {
             #            group = "HAB") %>% 
             addMarkers(data = WQ_data_locations,
                    popup = ~paste("Station: ", site_friendly, "<br>",
-                                  "Location: ", wbid,
-                                  "Sample type: ", SampleType),
+                                  "Location: ", wbid, "<br>",
+                                  "Latest year of sampling: ", maxYear, "<br",
+                                  "Sampling start year: ", minYear, "<br"),
                    group = "WQ") %>% 
             # # Layers control (turning layers on and off)
             addLayersControl(overlayGroups = c("Counties", "GTMNERR boundaries", "WQ"),