test_that("band_crm() equates to Band spreadheet outputs in sheet 2", {
# case 1 - Gannet, 96% avoidance, specific wind farm features
out_case1 <- band_crm(
model_options = c('1', '2', '3'),
flight_speed = band_spreadsheet_dt$flight_speed,
body_lt = band_spreadsheet_dt$body_length,
wing_span = band_spreadsheet_dt$wing_span,
flight_type = band_spreadsheet_dt$flight_type,
avoid_rt_basic = band_spreadsheet_dt$avoid_rate,
avoid_rt_ext = band_spreadsheet_dt$avoid_rate_ext,
noct_activity = band_spreadsheet_dt$noct_activity,
prop_crh_surv = band_spreadsheet_dt$prop_crh_surv,
dens_month = band_spreadsheet_dt$bird_dens_df,
prop_upwind = band_spreadsheet_dt$prop_upwd,
gen_fhd = band_spreadsheet_dt$fhd,
rotor_speed = band_spreadsheet_dt$rotor_speed,
rotor_radius = band_spreadsheet_dt$rotor_radius,
blade_width = band_spreadsheet_dt$blade_width,
blade_pitch = band_spreadsheet_dt$blade_pitch,
n_blades = band_spreadsheet_dt$n_blades,
hub_height = band_spreadsheet_dt$hub_ht,
chord_prof = chord_prof_5MW,
n_turbines = band_spreadsheet_dt$n_turbines,
wf_width = band_spreadsheet_dt$wf_width,
wf_latitude = band_spreadsheet_dt$wf_latitude,
turb_oper_month = band_spreadsheet_dt$prop_oper_df,
tidal_offset = band_spreadsheet_dt$tid_offset,
lrg_arr_corr = band_spreadsheet_dt$lrg_arr_corr,
xinc = 0.05,
yinc = 0.05)
expect_equal(out_case1$opt1, band_spreadsheet_dt$collisions_opt1)
expect_equal(out_case1$opt2, band_spreadsheet_dt$collisions_opt2)
expect_equal(out_case1$opt3, band_spreadsheet_dt$collisions_opt3,
tolerance = 1e-7)
expect_equal(dim(out_case1),c(12,4))
expect_equal(names(out_case1),c("month","opt1","opt2","opt3"))
# case 2 - Kittiwake, 98% avoidance, specific wind farm features
out_case2 <- band_crm(
model_options = c('1', '2', '3'),
flight_speed = band_spreadsheet_dt_2$flight_speed,
body_lt = band_spreadsheet_dt_2$body_length,
wing_span = band_spreadsheet_dt_2$wing_span,
flight_type = band_spreadsheet_dt_2$flight_type,
avoid_rt_basic = band_spreadsheet_dt_2$avoid_rate,
avoid_rt_ext = band_spreadsheet_dt_2$avoid_rate_ext,
noct_activity = band_spreadsheet_dt_2$noct_activity,
prop_crh_surv = band_spreadsheet_dt_2$prop_crh_surv,
dens_month = band_spreadsheet_dt_2$bird_dens_df,
prop_upwind = band_spreadsheet_dt_2$prop_upwd,
gen_fhd = band_spreadsheet_dt_2$fhd,
rotor_speed = band_spreadsheet_dt_2$rotor_speed,
rotor_radius = band_spreadsheet_dt_2$rotor_radius,
blade_width = band_spreadsheet_dt_2$blade_width,
blade_pitch = band_spreadsheet_dt_2$blade_pitch,
n_blades = band_spreadsheet_dt_2$n_blades,
hub_height = band_spreadsheet_dt_2$hub_ht,
chord_prof = chord_prof_5MW,
n_turbines = band_spreadsheet_dt_2$n_turbines,
wf_width = band_spreadsheet_dt_2$wf_width,
wf_latitude = band_spreadsheet_dt_2$wf_latitude,
turb_oper_month = band_spreadsheet_dt_2$prop_oper_df,
tidal_offset = band_spreadsheet_dt_2$tid_offset,
lrg_arr_corr = band_spreadsheet_dt_2$lrg_arr_corr,
xinc = 0.05,
yinc = 0.05)
expect_equal(out_case2$opt1, band_spreadsheet_dt_2$collisions_opt1)
expect_equal(out_case2$opt2, band_spreadsheet_dt_2$collisions_opt2)
expect_equal(out_case2$opt3, band_spreadsheet_dt_2$collisions_opt3,
tolerance = 1e-7)
})
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