Generates dummy geographic distribution data for multiple species
dummy_dist(
nsp = 10,
max_occ = 10,
xmin = 0,
xmax = 5,
ymin = 0,
ymax = 5,
step = 0.1,
seed = NULL
)A data.frame with three columns
dummy_dist(nsp = 5) ## five species dataset
#> ddlat ddlon taxa
#> 1 4.7 2.5 tax1
#> 2 2.9 5.0 tax1
#> 3 4.9 2.7 tax1
#> 4 3.3 0.0 tax1
#> 5 3.8 3.5 tax1
#> 6 4.5 0.4 tax1
#> 7 2.8 0.2 tax1
#> 8 2.0 2.8 tax1
#> 9 3.5 0.1 tax1
#> 10 1.3 3.2 tax2
#> 11 4.3 2.2 tax2
#> 12 1.0 4.1 tax3
#> 13 4.0 1.6 tax3
#> 14 0.1 2.4 tax3
#> 15 2.9 0.1 tax3
#> 16 4.2 1.8 tax3
#> 17 0.8 3.1 tax3
#> 18 1.0 1.1 tax4
#> 19 2.0 2.5 tax4
#> 20 0.9 3.0 tax4
#> 21 1.6 1.0 tax4
#> 22 1.1 1.4 tax5
#> 23 1.4 4.7 tax5
#> 24 2.1 3.7 tax5
dummy_dist(xmin = -20, xmax = 30, nsp = 30)
#> ddlat ddlon taxa
#> 1 4.4 8.5 tax1
#> 2 0.2 15.6 tax1
#> 3 4.3 -17.0 tax2
#> 4 2.5 21.2 tax2
#> 5 3.1 -9.9 tax2
#> 6 2.4 -15.9 tax2
#> 7 1.0 21.4 tax2
#> 8 0.6 1.3 tax2
#> 9 4.0 10.0 tax2
#> 10 2.8 -2.1 tax2
#> 11 4.7 -4.9 tax2
#> 12 4.6 29.3 tax3
#> 13 0.4 6.1 tax3
#> 14 2.8 17.8 tax4
#> 15 4.7 -13.1 tax5
#> 16 4.1 16.7 tax5
#> 17 3.8 18.8 tax6
#> 18 1.3 1.5 tax7
#> 19 1.0 27.4 tax7
#> 20 0.1 18.8 tax7
#> 21 4.2 -5.1 tax7
#> 22 2.9 9.1 tax7
#> 23 3.2 22.1 tax7
#> 24 1.6 -12.1 tax7
#> 25 1.2 7.9 tax7
#> 26 4.1 15.6 tax7
#> 27 3.0 -16.5 tax8
#> 28 4.4 27.4 tax8
#> 29 2.9 19.9 tax8
#> 30 3.5 28.1 tax8
#> 31 1.6 0.9 tax8
#> 32 0.2 -3.3 tax8
#> 33 2.7 24.6 tax8
#> 34 0.9 2.7 tax9
#> 35 0.2 -9.8 tax9
#> 36 1.1 -19.8 tax9
#> 37 4.6 -7.4 tax9
#> 38 4.0 12.2 tax9
#> 39 3.9 -19.9 tax9
#> 40 2.2 13.4 tax9
#> 41 2.5 -14.3 tax9
#> 42 2.7 2.6 tax9
#> 43 4.1 8.6 tax10
#> 44 5.0 3.9 tax10
#> 45 0.9 10.4 tax11
#> 46 1.8 7.1 tax11
#> 47 3.7 22.0 tax11
#> 48 3.8 8.7 tax11
#> 49 2.9 -19.8 tax11
#> 50 0.4 14.4 tax11
#> 51 0.3 -9.6 tax11
#> 52 1.0 29.8 tax11
#> 53 3.9 27.0 tax12
#> 54 1.6 -12.3 tax12
#> 55 1.0 11.1 tax12
#> 56 4.1 8.3 tax12
#> 57 3.2 27.5 tax12
#> 58 0.2 14.4 tax13
#> 59 3.2 7.9 tax13
#> 60 3.0 20.6 tax13
#> 61 0.1 -3.9 tax13
#> 62 1.5 28.2 tax13
#> 63 0.6 6.9 tax13
#> 64 0.2 2.5 tax14
#> 65 3.1 3.9 tax14
#> 66 2.2 -8.2 tax14
#> 67 2.7 16.6 tax15
#> 68 0.2 12.6 tax16
#> 69 2.3 -12.3 tax16
#> 70 5.0 -2.6 tax16
#> 71 0.1 -5.5 tax16
#> 72 1.7 -18.9 tax16
#> 73 0.0 -13.2 tax17
#> 74 4.4 29.4 tax17
#> 75 3.9 -13.5 tax17
#> 76 0.7 -17.7 tax17
#> 77 2.6 -10.6 tax17
#> 78 0.5 -12.7 tax17
#> 79 1.5 16.6 tax17
#> 80 4.7 7.0 tax17
#> 81 2.2 5.8 tax17
#> 82 0.3 11.2 tax18
#> 83 3.6 5.0 tax19
#> 84 1.7 29.3 tax19
#> 85 0.4 -5.0 tax20
#> 86 1.2 0.1 tax20
#> 87 3.9 19.4 tax20
#> 88 2.8 -2.5 tax20
#> 89 1.7 9.6 tax20
#> 90 3.5 -14.5 tax20
#> 91 3.8 21.2 tax20
#> 92 1.1 -7.7 tax21
#> 93 4.0 12.3 tax22
#> 94 3.9 -14.5 tax23
#> 95 2.9 13.4 tax23
#> 96 0.0 -10.2 tax23
#> 97 3.2 -13.8 tax24
#> 98 2.1 11.7 tax24
#> 99 3.3 10.3 tax24
#> 100 0.9 -11.6 tax24
#> 101 1.5 14.0 tax25
#> 102 5.0 10.5 tax25
#> 103 1.4 12.9 tax25
#> 104 4.5 12.5 tax25
#> 105 4.1 -0.5 tax25
#> 106 0.4 -3.6 tax25
#> 107 1.7 -0.9 tax26
#> 108 2.5 -7.1 tax26
#> 109 0.6 -12.1 tax26
#> 110 0.3 0.9 tax26
#> 111 3.9 -9.3 tax26
#> 112 0.0 29.0 tax26
#> 113 3.3 0.9 tax27
#> 114 0.4 22.5 tax27
#> 115 0.8 26.4 tax27
#> 116 4.8 13.2 tax27
#> 117 1.7 -4.3 tax27
#> 118 3.8 22.0 tax27
#> 119 2.6 -4.5 tax28
#> 120 1.4 24.8 tax28
#> 121 3.7 30.0 tax28
#> 122 4.5 2.3 tax28
#> 123 2.4 10.2 tax28
#> 124 3.8 2.7 tax28
#> 125 0.9 21.8 tax29
#> 126 2.6 21.9 tax29
#> 127 4.0 22.0 tax29
#> 128 3.4 26.0 tax29
#> 129 0.6 -4.5 tax29
#> 130 3.7 5.6 tax29
#> 131 5.0 -11.5 tax30
#> 132 4.2 -4.4 tax30
#> 133 0.5 3.8 tax30
#> 134 2.3 13.0 tax30
#> 135 3.3 19.0 tax30