3_visualize.R

source('3_visualize/src/plot_utils.R')


# For case studies approach: select one demographic characteristic (hispanic/latino), 
p3_targets <- list(

# desktop & mobile maps ------------------------------------------------------------
  tar_target(
    p3_med_income_png,
    plot_census_map(
      census_data = p2_perc_census_acs5_layers_sf[[2]],
      percent_leg = FALSE,
      var = 'estimate',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/med_income_census_2022.png",
      leg_title = "Median household income, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$socioeconomic_status,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),
  tar_target(
    p3_perc_household_income_png,
    plot_census_map(
      census_data = p2_census_acs5sub_income_data[[1]],
      percent_leg = TRUE,
      var = 'percent',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/perc_household_income_2022.png",
      leg_title =  "Percent allocated household income\nin the past 12 months, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$socioeconomic_status,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),

  tar_target(
    p3_tot_latino_png,
    plot_census_map(
      census_data = p2_perc_census_acs5_layers_sf[[4]],
      percent_leg = FALSE,
      var = 'estimate',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/tot_hispanic_census_2022.png",
      leg_title =  "Total Hispanic, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$demographic_characteristics,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),

  tar_target(
    p3_perc_latino_png,
    plot_census_map(
      census_data = p2_perc_census_acs5_layers_sf[[4]],
      percent_leg = TRUE,
      var = 'percent',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/perc_hispaic_census_2022.png",
      leg_title = "Percent Hispanic, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$demographic_characteristics,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),


  # Household related maps
  tar_target(
    p3_total_households_png,
    plot_census_map(
      census_data = p2_census_acs5sub_household_data[[1]],
      percent_leg = FALSE,
      var = 'estimate',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/tot_households_2022.png",
      leg_title = "Total households, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$demographic_characteristics,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),
  tar_target(
    p3_female_households_png,
    plot_census_map(
      census_data = p2_census_acs5sub_household_data[[2]],
      percent_leg = FALSE,
      var = 'estimate',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/tot_female_households_2022.png",
      leg_title = "Total female households, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$demographic_characteristics,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),
  tar_target(
    p3_median_rent_png,
    plot_census_map(
      census_data = p2_census_acs5sub_household_data[[3]],
      percent_leg = FALSE,
      var = 'estimate',
      conus_sf = p1_conus_sf,
      outfile_path = "3_visualize/out/median_rent_2022.png",
      leg_title = "Median gross rent, 2022",
      viz_config_df = p0_viz_config_df,
      viz_config_pal = p0_viz_config_pal$socioeconomic_status,
      width = p0_viz_config_df$width_desktop,
      height = p0_viz_config_df$height_desktop,
      font_size  = p0_viz_config_df$font_size_desktop,
      barwidth = 20,
      barheight = 1
    ),
    format = "file"
  ),

# median income by race maps
tar_target(
  p3_med_income_white_png,
  plot_census_map(
    census_data = p2_census_acs5sub_income_by_race_data[[1]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/med_income_census_white_2022.png",
    leg_title = "Median Household Income in the Past 12 Months\n(in 2022 Inflation-Adjusted Dollars),\nWhite Householder",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

tar_target(
  p3_med_income_black_png,
  plot_census_map(
    census_data = p2_census_acs5sub_income_by_race_data[[2]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/med_income_census_black_2022.png",
    leg_title = "Median Household Income in the Past 12 Months\n(in 2022 Inflation-Adjusted Dollars),\nBlack or African American Householder",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

tar_target(
  p3_med_income_american_indian_png,
  plot_census_map(
    census_data = p2_census_acs5sub_income_by_race_data[[3]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/med_income_census_american_indian_2022.png",
    leg_title = "Median Household Income in the Past 12 Months\n(in 2022 Inflation-Adjusted Dollars),\nAmerican Indian and Alaska Native Householder",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

tar_target(
  p3_med_income_asian_png,
  plot_census_map(
    census_data = p2_census_acs5sub_income_by_race_data[[4]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/med_income_census_asian_2022.png",
    leg_title = "Median Household Income in the Past 12 Months\n(in 2022 Inflation-Adjusted Dollars),\nAsian Householder",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

tar_target(
  p3_med_income_hawaiian_png,
  plot_census_map(
    census_data = p2_census_acs5sub_income_by_race_data[[5]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/med_income_census_hawaiian_2022.png",
    leg_title = "Median Household Income in the Past 12 Months\n(in 2022 Inflation-Adjusted Dollars),\nNative Hawaiian and\n Other Pacific Islander Householder",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

tar_target(
  p3_med_income_hispanic_png,
  plot_census_map(
    census_data = p2_census_acs5sub_income_by_race_data[[6]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/med_income_census_hispanic_2022.png",
    leg_title = "Median Household Income in the Past 12 Months\n(in 2022 Inflation-Adjusted Dollars),\nHispanic or Latino Householder",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

# disability maps
tar_target(
  p3_perc_disable_png,
  plot_census_map(
    census_data = p2_census_acs5sub_disability_data[[1]],
    percent_leg = TRUE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/perc_disable_census_2022.png",
    leg_title = "Percent disabled, 2022",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$demographic_characteristics,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
  ),
  format = "file"
),

tar_target(
  p3_total_disable_png,
  plot_census_map(
    census_data = p2_census_acs5sub_disability_data[[2]],
    percent_leg = FALSE,
    var = 'estimate',
    conus_sf = p1_conus_sf,
    outfile_path = "3_visualize/out/tot_disable_census_2022.png",
    leg_title = "Total disable, 2022",
    viz_config_df = p0_viz_config_df,
    viz_config_pal = p0_viz_config_pal$demographic_characteristics,
    width = p0_viz_config_df$width_desktop,
    height = p0_viz_config_df$height_desktop,
    font_size  = p0_viz_config_df$font_size_desktop,
    barwidth = 20,
    barheight = 1
    ),
  format = "file"
)
)