Evaluate Habitat Master Plan progress for report card
Details
The relevant output columns are targeteval and goaleval that indicate numeric values as -1 (target not met, trending below), 0 (target met, trending below), 0.5 (target not met, trending above), and 1 (target met, trending above).
Columns in the output are as follows:
- year
- Year of the assessment 
- metric
- Habitat type assessed 
- Acres
- Coverage estimate for the year 
- lacres
- Coverage estimate for the previous set of available data 
- lyr
- Year for the previous set of available data 
- category
- Strata for the habitat type 
- Target
- 2030 target for the habitat type from the Habitat Master Plan 
- Goal
- 2050 goal for the habitat type from the Habitat Master Plan 
- acresdiff
- Difference in acres for the current year and the previous set of available data 
- yeardiff
- Difference in years for the current year and the previous set of available data 
- changerate
- Acreage change per year for the current year relative to the previous set of available data 
- targetrate
- Annual rate required to achieve the 2030 target 
- goalrate
- Annual rate required to achieve the 2050 goal 
- targetprop
- Proportion of target met for the current year 
- goalprop
- Proportion of goal met for the current year 
- targeteval
- A number indicating target status of the current year for the report card 
- goaleval
- A number indicating goal status of the current year for the report card 
The numbers in targeteval and goaleval are one of four values as -1, 0, 0.5, and 1. These numbers define the status for the assessment year:
- -1
- target or goal not met, trending below 
- 0
- target or goal met, trending below 
- 0.5
- target or goal not met, trending above 
- 1
- target or goal met, trending above 
Examples
# view summarized data for report card
anlz_hmpreport(acres, subtacres, hmptrgs)
#> # A tibble: 165 × 17
#>     year metric      Acres lacres   lyr category Target  Goal acresdiff yeardiff
#>    <dbl> <chr>       <dbl>  <dbl> <dbl> <fct>     <dbl> <dbl>     <dbl>    <dbl>
#>  1  1990 Seagrasses 25218. 23279.  1988 Subtidal  40000 40000     1939.        2
#>  2  1990 Tidal Fla… 20433. 21686.  1988 Subtidal  16220 16220    -1253.        2
#>  3  1992 Seagrasses 25746. 25218.  1990 Subtidal  40000 40000      528.        2
#>  4  1992 Tidal Fla… 20594. 20433.  1990 Subtidal  16220 16220      161.        2
#>  5  1994 Seagrasses 26524. 25746.  1992 Subtidal  40000 40000      778.        2
#>  6  1994 Tidal Fla… 20244. 20594.  1992 Subtidal  16220 16220     -349.        2
#>  7  1996 Seagrasses 26924. 26524.  1994 Subtidal  40000 40000      400.        2
#>  8  1996 Tidal Fla… 20443. 20244.  1994 Subtidal  16220 16220      199.        2
#>  9  1999 Seagrasses 24840. 26924.  1996 Subtidal  40000 40000    -2083.        3
#> 10  1999 Tidal Fla… 27085. 20443.  1996 Subtidal  16220 16220     6642.        3
#> # ℹ 155 more rows
#> # ℹ 7 more variables: changerate <dbl>, targetrate <dbl>, goalrate <dbl>,
#> #   targetprop <dbl>, goalprop <dbl>, targeteval <dbl>, goaleval <dbl>
