incorporate clean of unecessaty nodes in targets

#1
added option to re_clean osm if needed

R/functions.R

@@ -116,9 +116,10 @@ get_osm = function(CITYlimit, CITY) {
 
 # clean_osm ---------------------------------------------------------------
 
-clean_osm = function(road_network, CITY) {
+clean_osm = function(road_network, CITY, build_osm) {
 
-  if(file.exists(paste0("outputdata/", CITY, "/road_network_clean.shp"))){
+  if(build_osm == FALSE &
+     file.exists(paste0("outputdata/", CITY, "/road_network_clean.shp"))){
 
     road_network_clean = sf::st_read(paste0("outputdata/", CITY, "/road_network_clean.shp"), quiet = TRUE)
 
@@ -165,6 +166,16 @@ clean_osm = function(road_network, CITY) {
 
   road_network_clean = sf::st_read(output[["output"]][1])
   # %>% select(-fid_2)
+
+  # cleaning the unnecessary nodes, using tidygraph and sfnetworks
+  road_network_clean = as_sfnetwork(road_network_clean)
+
+  road_network_clean = convert(road_network_clean, to_spatial_smooth) |> 
+    activate(edges) |> 
+    as_tibble() |>
+    select(cat, osm_id, highway, geometry) |>
+    mutate(edgeID = c(1:n())) |> 
+    st_as_sf()
 
   st_write(road_network_clean, output_path, delete_dsn = TRUE)
 

_targets.R

@@ -5,10 +5,10 @@
 
 
 # Set defaults HERE ######################
-CITY_input = "Lisboa"
-cellsize_input = c(500, 500)
-square_input = FALSE #TRUE = squares, FALSE = hexagons
-
+CITY_input = "Almada"
+cellsize_input = c(200, 200)
+square_input = TRUE #TRUE = squares, FALSE = hexagons
+build_osm = TRUE #clean osm road network again?
 
 #########################################
 
@@ -62,7 +62,7 @@ list(
     command = get_osm(CITYlimit, CITY)),
   tar_target(
     name = road_network_clean,
-    command = clean_osm(road_network, CITY)),
+    command = clean_osm(road_network, CITY, build_osm)),
   tar_target(
     name = centrality_nodes,
     command = get_centrality(road_network_clean, CITY)),

code/centrality.R

@@ -17,21 +17,6 @@ road_network = st_read("database/lisbon_network_vclean.gpkg") #or https://github
 # road_network = st_read("database/old_network/RedeViariaLisboa_osm_Setores/RedeViariaLisboa_osm_Setores.shp")
 # road_network = st_transform(road_network, 3857) # Project
 
-# TESTE rede limpa osm targets
-road_network = st_read("outputdata/Lisboa/road_network_clean.shp")
-
-
-
-net = as_sfnetwork(road_network)
-smoothed = convert(net, to_spatial_smooth)
-
-nodes_smoothed = smoothed %>%
-  activate(nodes) %>%
-  as_tibble() |> 
-  st_as_sf(coords = c('X', 'Y')) %>%
-  st_set_crs(st_crs(edges))
-
-
 
 
 # create a road network graph ------------------------------------------------------------
@@ -172,3 +157,30 @@ summary(centrality_grid$closeness)
 # 0.0000000 0.0000016 0.0000025 0.0014170 0.0000033 1.0000000  gabriel
 
 saveRDS(centrality_grid, "database/centrality_grid.Rds")
+
+
+
+
+# clean unnecessary nodes -------------------------------------------------
+
+# TESTE rede limpa osm targets
+road_network = st_read("outputdata/Lisboa/road_network_clean.shp")
+
+net = as_sfnetwork(road_network)
+
+nodes_smoothed = convert(net, to_spatial_smooth) |> 
+  activate(nodes) |> 
+  as_tibble() |> 
+  st_as_sf() |> 
+  rename(nodeID = .tidygraph_node_index)
+
+edges_smoothed = convert(net, to_spatial_smooth) |> 
+  activate(edges) |> 
+  as_tibble() |>
+  select(cat, osm_id, highway, geometry) |>
+  mutate(edgeID = c(1:n())) |> 
+  st_as_sf()
+
+mapview::mapview(edges_smoothed, zcol="edgeID")
+
+st_write(edges_smoothed, "outputdata/edges_smoothed.shp", delete_dsn = TRUE)