2010 Hawaii Congressional Districts (use VTD not tract)

analyses/HI_cd_2010/01_prep_HI_cd_2010.R

@@ -19,14 +19,6 @@ cli_process_start("Downloading files for {.pkg HI_cd_2010}")
 
 path_data <- download_redistricting_file("HI", "data-raw/HI", year = 2010, type = "block", overwrite = TRUE)
 
-# download the enacted plan.
-url <- "https://redistricting.lls.edu/wp-content/uploads/hi_2010_congress_2011-09-26_2021-12-31.zip"
-path_enacted <- "data-raw/HI/HI_enacted.zip"
-download(url, here(path_enacted))
-unzip(here(path_enacted), exdir = here(dirname(path_enacted), "HI_enacted"))
-file.remove(path_enacted)
-path_enacted <- "data-raw/HI/HI_enacted/congress11.shp"
-
 cli_process_done()
 
 # Compile raw data into a final shapefile for analysis -----
@@ -46,36 +38,32 @@ if (!file.exists(here(shp_path))) {
     # add municipalities
     d_muni <- get_baf_10("HI", "INCPLACE_CDP")[[1]] %>%
         rename(GEOID = BLOCKID, muni = PLACEFP)
+    # add cd
     d_cd <- get_baf_10("HI", "CD")[[1]] %>%
         rename(GEOID = BLOCKID, cd_2000 = DISTRICT)
-    hi_shp <- left_join(hi_shp, d_muni, by = "GEOID") %>%
+
+    hi_shp <- hi_shp %>%
+        left_join(d_muni, by = "GEOID") %>%
         left_join(d_cd, by = "GEOID") %>%
+        left_join(read_baf_cd113("HI") %>% rename(GEOID = BLOCKID), by = "GEOID") %>%
+        # left_join(d_vtd, by = "GEOID") %>%
         mutate(county_muni = if_else(is.na(muni), county, str_c(county, muni))) %>%
-        relocate(muni, county_muni, cd_2000, .after = county)
-
-    # add the enacted plan by geomatching Honolulu County
-    # (the rest of the state is in District 2)
-    cd_shp <- st_read(here(path_enacted))
-    honolulu <- hi_shp %>% filter(county == "003") %>%
-        mutate(cd_2010 = as.integer(cd_shp$USDist)[
-            geo_match(honolulu, cd_shp, method = "area")],
-        .after = cd_2000)
-    rest_shp <- hi_shp %>%
-        filter(county != "003") %>%
-        mutate(cd_2010 = 2, .after = cd_2000)
-    hi_shp <- rbind(rest_shp, honolulu)
+        relocate(muni, county_muni, cd_2000, cd_2010, .after = county)
 
     # group from block-level to tract-level
-
     hi_shp <- hi_shp %>%
-        mutate(tract = str_sub(GEOID, 1, 11)) %>%
-        group_by(tract) %>%
-        summarize(cd_2000 = Mode(cd_2000),
+        censable::breakdown_geoid() %>%
+        group_by(state, county, tract) %>%
+        summarize(
+            cd_2000 = Mode(cd_2000),
             cd_2010 = Mode(cd_2010),
             muni = Mode(muni),
-            state = unique(state),
-            county = unique(county),
-            across(where(is.numeric), sum)
+            across(where(is.numeric), sum),
+            .groups = "drop"
+        ) %>%
+        mutate(
+            GEOID = str_c(state, county, tract),
+            state = censable::match_abb(unique(state))
         )
 
     # Create perimeters in case shapes are simplified
@@ -102,15 +90,34 @@ if (!file.exists(here(shp_path))) {
         "15009031503", "15009031601",
         "15009031601", "15009031700",
         "15009031801", "15003000110",
-        "15003009904", "15007040500",
+        "15003990001", "15007040500",
         "15007040900", "15007041200",
-        "15007041200", "15003981200"
+        "15003990001", "15003981200"
+    )
+
+    island_codes$v1 <- match(island_codes$v1, hi_shp$GEOID)
+    island_codes$v2 <- match(island_codes$v2, hi_shp$GEOID)
+
+    hi_shp$adj <- hi_shp$adj %>%
+        add_edge(island_codes$v1, island_codes$v2, zero = TRUE)
+
+    # handle the Honolulu boundary tract
+
+    hi_shp$adj <- hi_shp$adj |>
+        remove_edge(v1 = rep(294L, length(hi_shp$adj[[294]])), hi_shp$adj[[294]] + 1L)
+
+    honolulu_boundary <- tribble(
+        ~v1, ~v2,
+        "15003990001", "15007040500",
+        "15003990001", "15003981200",
+        "15003990001", "15003010303"
     )
 
-    island_codes$v1 <- which(hi_shp$tract %in% island_codes$v1)[order(na.omit(match(hi_shp$tract, island_codes$v1)))]
-    island_codes$v2 <- which(hi_shp$tract %in% island_codes$v2)[order(na.omit(match(hi_shp$tract, island_codes$v2)))]
+    honolulu_boundary$v1 <- match(honolulu_boundary$v1, hi_shp$GEOID)
+    honolulu_boundary$v2 <- match(honolulu_boundary$v2, hi_shp$GEOID)
 
-    hi_shp$adj <- hi_shp$adj %>% add_edge(island_codes$v1, island_codes$v2, zero = TRUE)
+    hi_shp$adj <- hi_shp$adj %>%
+        add_edge(honolulu_boundary$v1, honolulu_boundary$v2, zero = TRUE)
 
     hi_shp <- hi_shp %>%
         fix_geo_assignment(muni)

analyses/HI_cd_2010/02_setup_HI_cd_2010.R

@@ -7,9 +7,8 @@ cli_process_start("Creating {.cls redist_map} object for {.pkg HI_cd_2010}")
 map <- redist_map(hi_shp, pop_tol = 0.005,
     existing_plan = cd_2010, adj = hi_shp$adj)
 
-# Create sub-map for Honolulu County (excluding its Northwestern Hawaiian Islands)
+# Create sub-map for Honolulu County
 map_honolulu <- map %>%
-    slice(-291) %>%
     filter(county == "003") %>%
     `attr<-`("pop_bounds", attr(map, "pop_bounds"))
 

analyses/HI_cd_2010/03_sim_HI_cd_2010.R

@@ -16,7 +16,7 @@ plans_honolulu <- redist_smc(
 )
 
 plans <- matrix(data = 0, nrow = nrow(map), ncol = 5001)
-plans[map$tract %in% map_honolulu$tract, ] <- get_plans_matrix(plans_honolulu)
+plans[map$GEOID %in% map_honolulu$GEOID, ] <- get_plans_matrix(plans_honolulu)
 plans[plans == 0] <- 2
 
 plans <- redist_plans(

analyses/HI_cd_2010/doc_HI_cd_2010.md

@@ -1,7 +1,7 @@
 # 2010 Hawaii Congressional Districts
 
 ## Redistricting requirements
-Per Hawaii Revised Statutes 25-2(b)(1)-(4) and (6), [as in force for the 2010 cycle](https://www.ncsl.org/Portals/1/Documents/Redistricting/Redistricting_2010.pdf), districts must:
+Per Hawaii Revised Statutes 25-2(b)(1)-(4) and (6), [as in force for the 2010 cycle](https://law.justia.com/codes/hawaii/2011/division1/title3/chapter25/25-2/), districts must:
 
 1\. not unduly favor any person or party;