Read AGFD NCDF Files as a data.table
read_agfd_dt.Rd
Read Australian Gridded Farm Data, (AGFD) as a data.table object.
Value
a data.table::data.table object of the Australian Gridded Farm Data
See also
Other read_agfd:
read_agfd_stars()
,
read_agfd_terra()
,
read_agfd_tidync()
Examples
get_agfd(cache = TRUE) |>
read_agfd_dt()
#> id farmno R_total_hat_ha C_total_hat_ha
#> <char> <num> <num> <num>
#> 1: f2022.c1991.p2022.t2022.nc 15612 7.636519 4.405228
#> 2: f2022.c1991.p2022.t2022.nc 21495 14.811169 9.165632
#> 3: f2022.c1991.p2022.t2022.nc 23418 24.874456 14.858595
#> 4: f2022.c1991.p2022.t2022.nc 24494 15.043653 9.326359
#> 5: f2022.c1991.p2022.t2022.nc 32429 23.630099 13.681063
#> ---
#> 5554787: f2022.c2023.p2022.t2022.nc 668704 736.897286 460.817155
#> 5554788: f2022.c2023.p2022.t2022.nc 668705 738.710884 474.410778
#> 5554789: f2022.c2023.p2022.t2022.nc 668706 654.647906 457.160455
#> 5554790: f2022.c2023.p2022.t2022.nc 668707 631.791102 427.709677
#> 5554791: f2022.c2023.p2022.t2022.nc 669706 660.712058 439.941553
#> FBP_fci_hat_ha FBP_fbp_hat_ha A_wheat_hat_ha H_wheat_dot_hat
#> <num> <num> <num> <num>
#> 1: 3.231292 1.766127 NaN NaN
#> 2: 5.645538 6.178280 NaN NaN
#> 3: 10.015861 15.504923 NaN NaN
#> 4: 5.717294 7.212161 NaN NaN
#> 5: 9.949036 9.612778 NaN NaN
#> ---
#> 5554787: 276.080132 356.686292 0 NaN
#> 5554788: 264.300107 302.316747 0 NaN
#> 5554789: 197.487451 199.890112 0 NaN
#> 5554790: 204.081425 153.518781 0 NaN
#> 5554791: 220.770505 218.792928 0 NaN
#> A_barley_hat_ha H_barley_dot_hat A_sorghum_hat_ha H_sorghum_dot_hat
#> <num> <num> <num> <num>
#> 1: NaN NaN NaN NaN
#> 2: NaN NaN NaN NaN
#> 3: NaN NaN NaN NaN
#> 4: NaN NaN NaN NaN
#> 5: NaN NaN NaN NaN
#> ---
#> 5554787: 0 NaN NaN NaN
#> 5554788: 0 NaN NaN NaN
#> 5554789: 0 NaN NaN NaN
#> 5554790: 0 NaN NaN NaN
#> 5554791: 0 NaN NaN NaN
#> A_oilseeds_hat_ha H_oilseeds_dot_hat R_wheat_hat_ha R_sorghum_hat_ha
#> <num> <num> <num> <num>
#> 1: NaN NaN NaN NaN
#> 2: NaN NaN NaN NaN
#> 3: NaN NaN NaN NaN
#> 4: NaN NaN NaN NaN
#> 5: NaN NaN NaN NaN
#> ---
#> 5554787: 0 NaN 0.0004348123 NaN
#> 5554788: 0 NaN 0.0005231921 NaN
#> 5554789: 0 NaN 0.0006084199 NaN
#> 5554790: 0 NaN 0.0007096869 NaN
#> 5554791: 0 NaN 0.0003611209 NaN
#> R_oilseeds_hat_ha R_barley_hat_ha Q_wheat_hat_ha Q_barley_hat_ha
#> <num> <num> <num> <num>
#> 1: NaN NaN NaN NaN
#> 2: NaN NaN NaN NaN
#> 3: NaN NaN NaN NaN
#> 4: NaN NaN NaN NaN
#> 5: NaN NaN NaN NaN
#> ---
#> 5554787: 0 0.003709377 0.000001292824 0.000010061327
#> 5554788: 0 0.003525536 0.000001576272 0.000009648395
#> 5554789: 0 0.004337224 0.000001904677 0.000011629824
#> 5554790: 0 0.005920458 0.000002239960 0.000015683287
#> 5554791: 0 0.002440279 0.000001118544 0.000006533122
#> Q_sorghum_hat_ha Q_oilseeds_hat_ha S_wheat_cl_hat_ha S_sheep_cl_hat_ha
#> <num> <num> <num> <num>
#> 1: NaN NaN NaN 0.000046854152
#> 2: NaN NaN NaN 0.000066325878
#> 3: NaN NaN NaN 0.000007771546
#> 4: NaN NaN NaN 0.000070963917
#> 5: NaN NaN NaN 0.000007780997
#> ---
#> 5554787: NaN 0 0.000002485484 0.117095277272
#> 5554788: NaN 0 0.000002668840 0.153518713204
#> 5554789: NaN 0 0.000002797019 0.187514077190
#> 5554790: NaN 0 0.000002841685 0.211858527709
#> 5554791: NaN 0 0.000001604102 0.164533308643
#> S_sheep_births_hat_ha S_sheep_deaths_hat_ha S_beef_cl_hat_ha
#> <num> <num> <num>
#> 1: 0.000048411171 0.000007187978 0.02034820
#> 2: 0.000057753874 0.000009039695 0.02974461
#> 3: 0.000007320093 0.000000000000 0.05393181
#> 4: 0.000062521929 0.000009726773 0.03057606
#> 5: 0.000006834211 0.000000000000 0.04944272
#> ---
#> 5554787: 0.164086103179 0.018157042749 0.78965303
#> 5554788: 0.185344800360 0.020753066650 0.75669974
#> 5554789: 0.202498988233 0.022815166142 0.71943968
#> 5554790: 0.230071955369 0.022815556383 0.67004946
#> 5554791: 0.185313905899 0.020418049806 0.72876291
#> S_beef_births_hat_ha S_beef_deaths_hat_ha Q_beef_hat_ha Q_sheep_hat_ha
#> <num> <num> <num> <num>
#> 1: 0.005212591 0.000989490 0.004790528 0.00007117650
#> 2: 0.007970856 0.001468278 0.009646485 0.00009448864
#> 3: 0.014745383 0.002867331 0.014401773 0.00001299674
#> 4: 0.008602196 0.001446424 0.009577272 0.00010191595
#> 5: 0.011527594 0.002491037 0.014668761 0.00001283228
#> ---
#> 5554787: 0.370225786 0.010642925 0.293942469 0.13396945423
#> 5554788: 0.351241874 0.010553365 0.293387083 0.12775731977
#> 5554789: 0.321759571 0.013367238 0.275760344 0.15705398527
#> 5554790: 0.282077687 0.011278464 0.259000508 0.18976050833
#> 5554791: 0.316960886 0.014119598 0.272439664 0.15245338314
#> Q_lamb_hat_ha R_beef_hat_ha R_sheep_hat_ha R_lamb_hat_ha
#> <num> <num> <num> <num>
#> 1: 0.0000000 7.392679 0.010222802 0.00000
#> 2: 0.0000000 14.281910 0.014485890 0.00000
#> 3: 0.0000000 24.308574 0.001821158 0.00000
#> 4: 0.0000000 14.518771 0.015352095 0.00000
#> 5: 0.0000000 23.060943 0.001892115 0.00000
#> ---
#> 5554787: 0.1212352 657.404477 24.070736760 24.56695
#> 5554788: 0.1372860 656.791318 23.332846763 28.08795
#> 5554789: 0.1217748 569.789313 28.423724037 24.25902
#> 5554790: 0.1297302 534.851475 34.613745172 27.14233
#> 5554791: 0.1156143 572.425460 28.729266660 23.14122
#> C_fodder_hat_ha C_fert_hat_ha C_fuel_hat_ha C_chem_hat_ha
#> <num> <num> <num> <num>
#> 1: 0.3553107 0.0007795925 0.4282799 0.0002169123
#> 2: 0.7040333 0.0670951492 0.5663560 0.0212989625
#> 3: 0.9473936 0.1475929946 0.9244438 0.0398376851
#> 4: 0.7060111 0.0764850563 0.5688555 0.0223214940
#> 5: 1.0269189 0.1592835324 0.8337981 0.0416492516
#> ---
#> 5554787: 13.6725437 176.5353298662 18.1458502 16.8969689153
#> 5554788: 14.1040220 167.6301469826 19.9110474 17.0393616244
#> 5554789: 15.0547579 183.5206509474 19.0189133 21.5338062158
#> 5554790: 13.8760733 157.2025753600 18.6513546 17.8201444849
#> 5554791: 14.5253051 184.8479340323 17.1776553 19.4299871793
#> A_total_cropped_ha FBP_pfe_hat_ha farmland_per_cell lon lat
#> <num> <num> <num> <num> <num>
#> 1: 0.000001588013 2.142158 62.26270 142.60 -10.75
#> 2: 0.000144292922 6.679382 61.71605 136.75 -11.05
#> 3: 0.000296036096 16.185389 61.82964 132.90 -11.15
#> 4: 0.000151675639 7.711993 72.85995 136.70 -11.20
#> 5: 0.000316535762 10.294743 61.82964 133.45 -11.60
#> ---
#> 5554787: 0.094355084746 363.806150 261.83917 147.20 -43.40
#> 5554788: 0.091948475739 309.616354 246.04442 147.25 -43.40
#> 5554789: 0.088614234428 207.454012 62.49487 147.30 -43.40
#> 5554790: 0.084273277285 161.441488 62.49487 147.35 -43.40
#> 5554791: 0.089141704592 226.312482 62.49487 147.30 -43.45