Create Interactive Environmental Map with Hexagonal Binning

Generates a multi-resolution maplibre map displaying environmental data aggregated into H3 hexagons with color-coded values and interactive tooltips.

Usage

map_env(
  env_hex_list,
  env_scale_list,
  env_stat_label,
  env_var_label,
  is_dark = T
)

Arguments

env_hex_list: List of sf objects, one per H3 resolution level, containing hexagonal geometries and aggregated environmental values
env_scale_list: List of color scale specifications, one per resolution level (from scales::col_numeric())
env_stat_label: Character string describing the statistic (e.g., "Mean", "Median")
env_var_label: Character string describing the variable (e.g., "Temperature (°C)")

Value

maplibre object with multi-resolution hexagonal layers and legend

Details

The map uses zoom-dependent layer visibility controlled by zoom_breaks. Each resolution level displays at appropriate zoom ranges to balance detail and performance.

Examples

if (FALSE) { # \dontrun{
df_env <- get_env("t_deg_c", qtr = 1:4, date_range = c("2000-01-01", "2020-12-31"), min_depth = 0, max_depth = 100)
env_hex <- prep_env_hex(df_env, res_range = 3:5, env_stat = "mean")
env_scale <- lapply(env_hex, function(x) scales::col_numeric("viridis", domain = range(x$env.value)))
map_env(env_hex, env_scale, "Mean", "Temperature (°C)")
} # }