AE 17: Building a climate risk dashboard - UI

Communicating climate risk

FEMA has asked us to build an improved dashboard that visualizes the risk of climate change in the United States. We will work to implement this Shiny dashboard.

Construct a user interface

Structure the dashboard layout

TipUseful resources

• Shiny layouts

• Implement a standard navigation bar layout
• Define the dashboard title
• Implement the three page layout
• Include separate sidebars for the national and county views
• Define separate rows for the county tab (map and plot on top, value boxes on the bottom)

Position the outputs

TipUseful resources

• Shiny outputs
• Make sure to organize your outputs using cards

• First tab
  • National map
• Second tab
  • State map with highlighted county
  • Dot plot for hazard types
  • Value boxes for 4 overall risk measures (overall risk score, expected annual loss, social vulnerability, community resilience)
• Third tab

  • Overall data set - does not require Shiny to implement. Use

    climate_risk |>
      gt() |>
      opt_interactive()

Define the inputs

Utilize appropriate sidebars to define all the inputs for the app.

TipUseful resources

• Shiny inputs
• Shiny reference sheet

National tab

• Dropdown for hazard type

County tab

• Dropdown for county

TipGet all county names

climate_sf |>
  arrange(STATEFP) |>
  pull(county)

• Checkboxes for overall risk measures

TipGet all risk measures

# hazard types
hazard_types <- climate_risk |>
  select(contains("hazard")) |>
  colnames()

# human-readable labels
hazard_types_labels <- hazard_types |>
  str_remove(pattern = "_hazard_type_risk_index_score") |>
  make_clean_names(case = "title")