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) })