diff --git a/.gitignore b/.gitignore
index 6ed82b1..7eb9b56 100644
--- a/.gitignore
+++ b/.gitignore
@@ -19,4 +19,3 @@ data-bkup
 archive/
 trash/
 api_key
-R/route_analysis.html
diff --git a/R/route_analysis.Rmd b/R/route_analysis.Rmd
index 53d4bed..0a1729a 100644
--- a/R/route_analysis.Rmd
+++ b/R/route_analysis.Rmd
@@ -7,8 +7,6 @@ output:
     toc_float:
       collapsed: false
       smooth_scroll: true
-editor_options: 
-  chunk_output_type: console
 ---
 
 ```{r libs, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
@@ -53,7 +51,7 @@ register_stadiamaps(key = substr(read_file(file = "api_keys/stadia_api_key"), 1,
 
 ## subset addresses within 1.5 miles
 walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
-  loc = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
+  loc = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
   breaks = c(walk_boundary_m),
   res = 80)
 ), units::set_units(1, km^2))
@@ -62,12 +60,8 @@ addresses_near <- st_intersection(addresses, walk_boundary_poly)
 
 ## load bike tls
 bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson")
-# make lts attribute a factor
 bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
-# remove segments with an LTS value of 9
-bike_lts <- bike_lts %>% filter(lts != 9)
 
-# set color scale
 bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
                              color = c("#1a9641",
                                        "#a6d96a",
@@ -100,7 +94,7 @@ logo <- image_read(path = "other/BFW_Logo_180_x_200_transparent_background.png")
 school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.svg")
 
 
-bbox <- st_bbox(st_buffer(walk_boundary_poly, dist = 500))
+bbox <- st_bbox(st_transform(st_buffer(walk_boundary_poly, dist = 500), crs = 4326))
 bbox <- c(left = as.double(bbox[1]),
           bottom = as.double(bbox[2]),
           right = as.double(bbox[3]),
@@ -136,11 +130,11 @@ ggmap(basemap) +
   scale_linewidth_continuous(range = c(0, 3)) +
   annotation_raster(school_symbol,
                     # Position adjustments here using plot_box$max/min/range
-                    ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001,
-                    ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001,
-                    xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015,
-                    xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) +
-  geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
+                    ymin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] - 0.001,
+                    ymax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] + 0.001,
+                    xmin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] - 0.0015,
+                    xmax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] + 0.0015) +
+  geom_sf_label(data = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
                 inherit.aes = FALSE,
                 mapping = aes(label = school_focus %>% pull(name)),
                 nudge_y = 0.0015,
@@ -184,11 +178,11 @@ ggmap(basemap) +
   scale_linewidth_continuous(range = c(0, 3)) +
   annotation_raster(school_symbol,
                     # Position adjustments here using plot_box$max/min/range
-                    ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001,
-                    ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001,
-                    xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015,
-                    xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) +
-  geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
+                    ymin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] - 0.001,
+                    ymax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] + 0.001,
+                    xmin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] - 0.0015,
+                    xmax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] + 0.0015) +
+  geom_sf_label(data = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
                 inherit.aes = FALSE,
                 mapping = aes(label = school_focus %>% pull(name)),
                 nudge_y = 0.0015,
@@ -228,11 +222,11 @@ ggmap(basemap) +
   new_scale_color() +
   annotation_raster(school_symbol,
                     # Position adjustments here using plot_box$max/min/range
-                    ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001,
-                    ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001,
-                    xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015,
-                    xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) +
-  geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
+                    ymin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] - 0.001,
+                    ymax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] + 0.001,
+                    xmin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] - 0.0015,
+                    xmax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] + 0.0015) +
+  geom_sf_label(data = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
                 inherit.aes = FALSE,
                 mapping = aes(label = school_focus %>% pull(name)),
                 nudge_y = 0.0015,