diff --git a/queries.R b/queries.R
index b75ad96..130abbb 100644
--- a/queries.R
+++ b/queries.R
@@ -49,16 +49,24 @@ view.hurdat_track <- tbl(con, "hurdat_track")
 view.all_loss_storms <- tbl(con, "all_loss_storms")
 view.all_loss_landfalls <- tbl(con, "all_loss_landfalls")
 view.yearly_normalized_losses <- tbl(con, "yearly_normalized_losses")
-view.county_population_housing <- tbl(con, "county_population_housing")
+view.simplified_county_geom <- tbl(con, "simplified_county_geom")
 
 # test storm
-storm <- list(
-  storm_basin = "AL",
-  storm_year = 2005,
-  storm_name = "KATRINA",
-  lf_type = "LF",
-  lf_id = 1
-)
+#katrina <- list(
+#  storm_basin = "AL",
+#  storm_year = 2005,
+#  storm_name = "KATRINA",
+#  lf_type = "LF",
+#  lf_id = 1
+#)
+
+#galveston <- list(
+#  storm_basin = "AL",
+#  storm_year = 1900,
+#  storm_name = "GALVESTON",
+#  lf_type = "LF",
+#  lf_id = 1
+#)
 
 # helper functions
 
@@ -236,12 +244,9 @@ get_normalized_metric_growth <- function(storm, full_lf_id) {
     )
   
   query <- normalized_metrics %>% 
-    inner_join(
-      public.counties,
-      by = c("state_fips" = "statefp", "county_fips" = "countyfp") 
-    ) %>% 
+    inner_join(public.counties, by = c("state_fips" = "statefp", "county_fips" = "countyfp")) %>% 
     mutate(
-      geom_wkt = sql("ST_AsText(ST_Transform(geom, 4326))")
+      geom_wkt = sql("ST_AsText(ST_SimplifyPreserveTopology(ST_Transform(geom, 4326), .001))")
     ) %>% 
     select(
       state_fips,
@@ -255,6 +260,26 @@ get_normalized_metric_growth <- function(storm, full_lf_id) {
     ) %>% 
     arrange(state_fips, county_fips, year)
   
+  #query <- normalized_metrics %>% 
+  #  inner_join(
+  #    public.counties,
+  #    by = c("state_fips" = "statefp", "county_fips" = "countyfp") 
+  #  ) %>% 
+  #  mutate(
+  #    geom_wkt = sql("ST_AsText(ST_Transform(geom, 4326))")
+  #  ) %>% 
+  #  select(
+  #    state_fips,
+  #    county_fips,
+  #    year,
+  #    population,
+  #    housing_units,
+  #    normalized_population,
+  #    normalized_housing,
+  #    geom_wkt
+  #  ) %>% 
+  #  arrange(state_fips, county_fips, year)
+  
   result <- query %>% collect()
   
   return(result)