Evaluate Habitat Master Plan progress for report card
Arguments
- acres
data.frame
for intertidal and supratidal land use and cover of habitat types for each year of data- subtacres
data.frame
for subtidal cover of habitat types for each year of data- hmptrgs
data.frame
of Habitat Master Plan targets and goals
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: 150 × 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 140 more rows
#> # ℹ 7 more variables: changerate <dbl>, targetrate <dbl>, goalrate <dbl>,
#> # targetprop <dbl>, goalprop <dbl>, targeteval <dbl>, goaleval <dbl>