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Calculate scores for effective impervious area (EIA)

Usage

assess_eia()

Value

List of 2 dataframes: summary and score.

Examples

assess_eia()
#> $summary
#> # A tibble: 25 × 7
#> # Rowwise: 
#>    sci_subshed        subshed impervious impervious_treated effective_impervious
#>    <chr>                <dbl>      <dbl>              <dbl>                <dbl>
#>  1 Battery Kemble Cr…  9.37e5    201840.             26487.              175353.
#>  2 Broad Branch        4.65e6   1627836.             76874.             1550962.
#>  3 Dalecarlia Tribut…  1.09e6    295100.             23139.              271960.
#>  4 Dumbarton Oaks      5.51e5    153336.             11829.              141508.
#>  5 Fenwick Branch      8.94e5    284547.              6249.              278298.
#>  6 Fort Chaplin Trib…  1.18e6    423427.             30927.              392500.
#>  7 Fort Davis Tribut…  9.47e5    328257.             12328.              315929.
#>  8 Fort Dupont Tribu…  1.66e6    154824.             15534.              139289.
#>  9 Fort Stanton Trib…  1.12e6    488751.             64799.              423952.
#> 10 Foundry Branch      4.59e6   1725013.            198108.             1526905.
#> # ℹ 15 more rows
#> # ℹ 2 more variables: percent_effective_impervious <dbl>, score <dbl>
#> 
#> $score
#> # A tibble: 25 × 2
#> # Rowwise: 
#>    sci_subshed            `Effective Impervious Area`
#>    <chr>                                        <dbl>
#>  1 Battery Kemble Creek                             6
#>  2 Broad Branch                                     2
#>  3 Dalecarlia Tributary                             4
#>  4 Dumbarton Oaks                                   4
#>  5 Fenwick Branch                                   3
#>  6 Fort Chaplin Tributary                           2
#>  7 Fort Davis Tributary                             2
#>  8 Fort Dupont Tributary                            8
#>  9 Fort Stanton Tributary                           1
#> 10 Foundry Branch                                   2
#> # ℹ 15 more rows
#>