cc_equ.RdRemoves or flags records with equal latitude and longitude coordinates, either exact or absolute. Equal coordinates can often indicate data entry errors.
cc_equ(x, lon = "decimallongitude", lat = "decimallatitude", test = "absolute", value = "clean", verbose = TRUE)
| x | data.frame. Containing geographical coordinates and species names. |
|---|---|
| lon | character string. The column with the longitude coordinates. Default = “decimallongitude”. |
| lat | character string. The column with the latitude coordinates. Default = “decimallatitude”. |
| test | character string. Defines if coordinates are compared exactly (“identical”) or on the absolute scale (i.e. -1 = 1, “absolute”). Default is to “absolute”. |
| value | character string. Defining the output value. See value. |
| verbose | logical. If TRUE reports the name of the test and the number of records flagged. |
Depending on the ‘value’ argument, either a data.frame
containing the records considered correct by the test (“clean”) or a
logical vector (“flagged”), with TRUE = test passed and FALSE = test failed/potentially
problematic . Default = “clean”.
See https://ropensci.github.io/CoordinateCleaner for more details and tutorials.
Other Coordinates: cc_cap,
cc_cen, cc_coun,
cc_dupl, cc_gbif,
cc_inst, cc_iucn,
cc_outl, cc_sea,
cc_urb, cc_val,
cc_zero
x <- data.frame(species = letters[1:10], decimallongitude = runif(100, -180, 180), decimallatitude = runif(100, -90,90)) cc_equ(x)#>#>#> species decimallongitude decimallatitude #> 1 a -50.085470 -39.3636493 #> 2 b 54.903614 37.2503696 #> 3 c -128.318679 -10.4063544 #> 4 d 65.087502 31.9857341 #> 5 e 129.342922 36.1286974 #> 6 f 121.906796 -77.6868445 #> 7 g 137.272653 82.5306337 #> 8 h -94.428814 -45.9929662 #> 9 i 28.307104 76.7310002 #> 10 j 143.244902 0.4944738 #> 11 a -56.005549 78.3930856 #> 12 b 93.908963 -11.0160662 #> 13 c 83.197312 -26.9124234 #> 14 d 126.875656 -4.2292641 #> 15 e 171.294495 83.9087145 #> 16 f -139.302900 -36.5108531 #> 17 g 169.294421 -37.6833045 #> 18 h 53.309801 64.7500046 #> 19 i -159.813704 -55.2037200 #> 20 j -9.670646 55.6395068 #> 21 a -73.934995 -24.2124278 #> 22 b 39.707864 -44.5140624 #> 23 c -136.400803 64.0945825 #> 24 d 46.589943 -66.5956135 #> 25 e 76.303909 52.5433789 #> 26 f 40.349803 -25.9377282 #> 27 g -167.605476 83.5818908 #> 28 h 59.720683 -68.6370223 #> 29 i 55.068220 -7.5310831 #> 30 j -17.330962 4.2570786 #> 31 a 6.049477 60.6711106 #> 32 b 63.579887 -83.9692733 #> 33 c 137.135914 -82.2008809 #> 34 d 83.242496 52.5785300 #> 35 e -36.496867 -53.5141863 #> 36 f -25.012565 -77.6168193 #> 37 g -127.653355 65.5993932 #> 38 h -17.596681 -76.1238253 #> 39 i 28.361337 -12.4193847 #> 40 j -154.649837 85.2520604 #> 41 a 87.237425 12.7723219 #> 42 b 17.719454 45.7931962 #> 43 c 48.435938 -46.3582207 #> 44 d -130.813710 22.8884158 #> 45 e 154.884059 -59.6853715 #> 46 f 54.402710 -9.9378661 #> 47 g 10.335338 -60.3584579 #> 48 h -98.958460 -68.7101791 #> 49 i 173.976073 -23.8564097 #> 50 j -140.742437 80.3806029 #> 51 a -154.819614 67.5739374 #> 52 b 99.952382 -43.1893958 #> 53 c 56.996003 28.3137187 #> 54 d -86.687012 -68.0643674 #> 55 e 150.601624 -32.6073530 #> 56 f -126.464275 22.1509854 #> 57 g 50.644975 -9.5404626 #> 58 h -107.554167 37.4928203 #> 59 i 87.703673 70.2052200 #> 60 j 125.149474 -71.2248293 #> 61 a 127.308914 23.4741094 #> 62 b 109.228526 61.4806039 #> 63 c -171.404365 -24.4327623 #> 64 d 106.335977 22.1261001 #> 65 e 139.158184 -7.0654475 #> 66 f 36.013442 -60.5857897 #> 67 g -24.196260 2.4960352 #> 68 h 151.299289 -64.2120411 #> 69 i 41.765194 27.0537662 #> 70 j -23.141463 -62.0469844 #> 71 a 143.029588 1.4957752 #> 72 b 96.844868 -74.5433200 #> 73 c -133.878327 0.5447994 #> 74 d 13.907923 -83.0570610 #> 75 e -133.554159 58.3259179 #> 76 f 3.947358 -38.5225967 #> 77 g 15.765369 -45.5848439 #> 78 h -92.960608 -18.3611530 #> 79 i 109.131881 23.7767175 #> 80 j 161.248941 80.7441921 #> 81 a -33.349916 -28.7785361 #> 82 b 5.308043 22.9258774 #> 83 c 173.355066 58.4847711 #> 84 d -52.492778 -63.8792322 #> 85 e -15.897547 84.0850435 #> 86 f -100.791106 -74.5129819 #> 87 g -150.540112 -46.7169778 #> 88 h -47.075015 24.9990719 #> 89 i -134.400030 0.6111147 #> 90 j 86.354102 -44.9058133 #> 91 a 164.111863 86.2260794 #> 92 b 60.722821 28.1843248 #> 93 c -11.487834 -73.8271978 #> 94 d 13.749281 23.4977275 #> 95 e -60.856667 67.8181791 #> 96 f 46.325559 77.4506764 #> 97 g -17.081110 -14.4925465 #> 98 h 139.685464 -0.7992234 #> 99 i 102.312655 -26.5131555 #> 100 j -130.298562 -45.2277239cc_equ(x, value = "flagged")#>#>#> [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE #> [16] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE #> [31] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE #> [46] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE #> [61] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE #> [76] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE #> [91] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE