Dispersal data
dispersal.RdCompute a data.frame with dispersal information. I.e. age and distance
from release point for each capture. Possibly adjusting for inhomogeneous
trap arrangement.
Arguments
- x
A
sitobject.- spatial_adjustment
Logical. Whether to adjust observations to account for a irregular spatial arrangement of traps.
- following_releases
A
sit_releaseobject with a subset of release events or missing (default) for all point release events. Use in combination withfollowing_daysto filter surveys of the target populations within a given number of days after release. Note that counts of wild populations will always be included in the results with a value ofNAinpop_col.- following_days
Integer or missing (default). Number of days after releases to return, if
following_releasesis not missing.- species
a character vector of species to be returned. Defaults to
NULL, which ignores the species variable.
Value
A data.frame with dispersal data. Specifically, for each survey of
sterile males, their population (colour), the trap, the age, the
capture size n, the spatial weights w and the distance dist_m from
the release point, in metres.
Details
By default, the function uses all adult surveys in the sit area of captured
individuals released from point releases. You can control this behaviour
by passing a custom sit_revents object in following_releases.
Note that the spatial adjustment is performed with the provided traps. Thus, beware of using a subset of traps only.
Examples
dispersal(sit_prototype)
#> population trap age n w dist_m
#> 15 blue 1 1 0 0.9646236 186.22601
#> 20 blue 10 1 0 1.7323301 362.84280
#> 45 blue 11 1 0 1.7381222 341.77398
#> 55 blue 12 1 0 1.4399978 227.30817
#> 66 blue 13 1 0 0.5889563 132.28700
#> 78 blue 14 1 0 1.7519073 335.92363
#> 94 blue 15 1 0 1.7678096 330.72821
#> 117 blue 16 1 1 1.9228437 283.95982
#> 133 blue 17 1 0 0.9084797 180.02333
#> 149 blue 18 1 0 0.3704058 76.60411
#> 164 blue 19 1 3 0.2417453 37.37503
#> 178 blue 2 1 0 0.6026693 134.95820
#> 192 blue 20 1 0 1.7299210 347.02437
#> 209 blue 21 1 0 1.3972783 224.05854
#> 223 blue 3 1 0 0.5185744 117.25593
#> 240 blue 4 1 0 0.2599683 42.25450
#> 248 blue 5 1 0 0.5702155 128.50860
#> 265 blue 6 1 3 0.4408973 97.59055
#> 282 blue 7 1 14 0.2255397 33.34701
#> 298 blue 8 1 0 0.3712525 76.87186
#> 306 blue 9 1 0 1.0231812 192.25028
#> 7 blue 1 2 0 0.9646236 186.22601
#> 29 blue 10 2 0 1.7323301 362.84280
#> 39 blue 11 2 0 1.7381222 341.77398
#> 46 blue 12 2 0 1.4399978 227.30817
#> 61 blue 13 2 0 0.5889563 132.28700
#> 85 blue 14 2 0 1.7519073 335.92363
#> 98 blue 15 2 0 1.7678096 330.72821
#> 115 blue 16 2 0 1.9228437 283.95982
#> 131 blue 17 2 0 0.9084797 180.02333
#> 146 blue 18 2 0 0.3704058 76.60411
#> 165 blue 19 2 2 0.2417453 37.37503
#> 173 blue 2 2 0 0.6026693 134.95820
#> 186 blue 20 2 0 1.7299210 347.02437
#> 199 blue 21 2 0 1.3972783 224.05854
#> 225 blue 3 2 0 0.5185744 117.25593
#> 232 blue 4 2 10 0.2599683 42.25450
#> 247 blue 5 2 0 0.5702155 128.50860
#> 258 blue 6 2 1 0.4408973 97.59055
#> 274 blue 7 2 0 0.2255397 33.34701
#> 297 blue 8 2 0 0.3712525 76.87186
#> 301 blue 9 2 0 1.0231812 192.25028
#> 9 blue 1 3 0 0.9646236 186.22601
#> 24 blue 10 3 0 1.7323301 362.84280
#> 42 blue 11 3 0 1.7381222 341.77398
#> 47 blue 12 3 0 1.4399978 227.30817
#> 68 blue 13 3 1 0.5889563 132.28700
#> 83 blue 14 3 0 1.7519073 335.92363
#> 102 blue 15 3 0 1.7678096 330.72821
#> 120 blue 16 3 0 1.9228437 283.95982
#> 122 blue 17 3 0 0.9084797 180.02333
#> 136 blue 18 3 1 0.3704058 76.60411
#> 151 blue 19 3 4 0.2417453 37.37503
#> 166 blue 2 3 0 0.6026693 134.95820
#> 184 blue 20 3 0 1.7299210 347.02437
#> 204 blue 21 3 0 1.3972783 224.05854
#> 213 blue 3 3 0 0.5185744 117.25593
#> 228 blue 4 3 1 0.2599683 42.25450
#> 253 blue 5 3 0 0.5702155 128.50860
#> 266 blue 6 3 3 0.4408973 97.59055
#> 273 blue 7 3 6 0.2255397 33.34701
#> 290 blue 8 3 0 0.3712525 76.87186
#> 303 blue 9 3 0 1.0231812 192.25028
#> 1 blue 1 4 0 0.9646236 186.22601
#> 26 blue 10 4 0 1.7323301 362.84280
#> 41 blue 11 4 0 1.7381222 341.77398
#> 59 blue 12 4 0 1.4399978 227.30817
#> 71 blue 13 4 0 0.5889563 132.28700
#> 89 blue 14 4 0 1.7519073 335.92363
#> 100 blue 15 4 0 1.7678096 330.72821
#> 118 blue 16 4 0 1.9228437 283.95982
#> 135 blue 17 4 0 0.9084797 180.02333
#> 145 blue 18 4 0 0.3704058 76.60411
#> 159 blue 19 4 2 0.2417453 37.37503
#> 175 blue 2 4 1 0.6026693 134.95820
#> 191 blue 20 4 0 1.7299210 347.02437
#> 197 blue 21 4 0 1.3972783 224.05854
#> 215 blue 3 4 0 0.5185744 117.25593
#> 229 blue 4 4 6 0.2599683 42.25450
#> 243 blue 5 4 0 0.5702155 128.50860
#> 269 blue 6 4 3 0.4408973 97.59055
#> 285 blue 7 4 1 0.2255397 33.34701
#> 296 blue 8 4 0 0.3712525 76.87186
#> 314 blue 9 4 0 1.0231812 192.25028
#> 13 blue 1 5 0 0.9646236 186.22601
#> 22 blue 10 5 0 1.7323301 362.84280
#> 44 blue 11 5 0 1.7381222 341.77398
#> 48 blue 12 5 0 1.4399978 227.30817
#> 73 blue 13 5 2 0.5889563 132.28700
#> 90 blue 14 5 0 1.7519073 335.92363
#> 97 blue 15 5 0 1.7678096 330.72821
#> 119 blue 16 5 0 1.9228437 283.95982
#> 134 blue 17 5 2 0.9084797 180.02333
#> 142 blue 18 5 0 0.3704058 76.60411
#> 162 blue 19 5 0 0.2417453 37.37503
#> 172 blue 2 5 0 0.6026693 134.95820
#> 189 blue 20 5 0 1.7299210 347.02437
#> 201 blue 21 5 0 1.3972783 224.05854
#> 214 blue 3 5 0 0.5185744 117.25593
#> 227 blue 4 5 2 0.2599683 42.25450
#> 245 blue 5 5 0 0.5702155 128.50860
#> 261 blue 6 5 2 0.4408973 97.59055
#> 281 blue 7 5 2 0.2255397 33.34701
#> 291 blue 8 5 0 0.3712525 76.87186
#> 308 blue 9 5 0 1.0231812 192.25028
#> 2 blue 1 6 0 0.9646236 186.22601
#> 25 blue 10 6 0 1.7323301 362.84280
#> 37 blue 11 6 0 1.7381222 341.77398
#> 57 blue 12 6 0 1.4399978 227.30817
#> 72 blue 13 6 0 0.5889563 132.28700
#> 86 blue 14 6 0 1.7519073 335.92363
#> 95 blue 15 6 0 1.7678096 330.72821
#> 110 blue 16 6 0 1.9228437 283.95982
#> 123 blue 17 6 0 0.9084797 180.02333
#> 137 blue 18 6 0 0.3704058 76.60411
#> 154 blue 19 6 0 0.2417453 37.37503
#> 171 blue 2 6 0 0.6026693 134.95820
#> 181 blue 20 6 0 1.7299210 347.02437
#> 203 blue 21 6 0 1.3972783 224.05854
#> 211 blue 3 6 0 0.5185744 117.25593
#> 237 blue 4 6 0 0.2599683 42.25450
#> 241 blue 5 6 0 0.5702155 128.50860
#> 267 blue 6 6 0 0.4408973 97.59055
#> 279 blue 7 6 0 0.2255397 33.34701
#> 293 blue 8 6 0 0.3712525 76.87186
#> 307 blue 9 6 0 1.0231812 192.25028
#> 11 blue 1 7 0 0.9646236 186.22601
#> 28 blue 10 7 0 1.7323301 362.84280
#> 33 blue 11 7 0 1.7381222 341.77398
#> 54 blue 12 7 1 1.4399978 227.30817
#> 63 blue 13 7 1 0.5889563 132.28700
#> 87 blue 14 7 0 1.7519073 335.92363
#> 105 blue 15 7 0 1.7678096 330.72821
#> 116 blue 16 7 0 1.9228437 283.95982
#> 127 blue 17 7 0 0.9084797 180.02333
#> 144 blue 18 7 0 0.3704058 76.60411
#> 155 blue 19 7 1 0.2417453 37.37503
#> 170 blue 2 7 2 0.6026693 134.95820
#> 185 blue 20 7 0 1.7299210 347.02437
#> 207 blue 21 7 0 1.3972783 224.05854
#> 221 blue 3 7 0 0.5185744 117.25593
#> 239 blue 4 7 0 0.2599683 42.25450
#> 254 blue 5 7 0 0.5702155 128.50860
#> 259 blue 6 7 0 0.4408973 97.59055
#> 280 blue 7 7 0 0.2255397 33.34701
#> 300 blue 8 7 0 0.3712525 76.87186
#> 309 blue 9 7 0 1.0231812 192.25028
#> 3 blue 1 8 0 0.9646236 186.22601
#> 18 blue 10 8 0 1.7323301 362.84280
#> 31 blue 11 8 0 1.7381222 341.77398
#> 53 blue 12 8 0 1.4399978 227.30817
#> 65 blue 13 8 0 0.5889563 132.28700
#> 77 blue 14 8 0 1.7519073 335.92363
#> 92 blue 15 8 0 1.7678096 330.72821
#> 107 blue 16 8 0 1.9228437 283.95982
#> 121 blue 17 8 0 0.9084797 180.02333
#> 139 blue 18 8 0 0.3704058 76.60411
#> 156 blue 19 8 3 0.2417453 37.37503
#> 167 blue 2 8 0 0.6026693 134.95820
#> 183 blue 20 8 0 1.7299210 347.02437
#> 198 blue 21 8 0 1.3972783 224.05854
#> 219 blue 3 8 0 0.5185744 117.25593
#> 238 blue 4 8 1 0.2599683 42.25450
#> 252 blue 5 8 0 0.5702155 128.50860
#> 260 blue 6 8 0 0.4408973 97.59055
#> 272 blue 7 8 0 0.2255397 33.34701
#> 286 blue 8 8 0 0.3712525 76.87186
#> 302 blue 9 8 0 1.0231812 192.25028
#> 14 blue 1 9 0 0.9646236 186.22601
#> 30 blue 10 9 0 1.7323301 362.84280
#> 36 blue 11 9 0 1.7381222 341.77398
#> 49 blue 12 9 0 1.4399978 227.30817
#> 74 blue 13 9 0 0.5889563 132.28700
#> 84 blue 14 9 0 1.7519073 335.92363
#> 103 blue 15 9 0 1.7678096 330.72821
#> 114 blue 16 9 0 1.9228437 283.95982
#> 132 blue 17 9 0 0.9084797 180.02333
#> 150 blue 18 9 0 0.3704058 76.60411
#> 161 blue 19 9 0 0.2417453 37.37503
#> 180 blue 2 9 0 0.6026693 134.95820
#> 195 blue 20 9 0 1.7299210 347.02437
#> 205 blue 21 9 0 1.3972783 224.05854
#> 224 blue 3 9 0 0.5185744 117.25593
#> 234 blue 4 9 0 0.2599683 42.25450
#> 251 blue 5 9 0 0.5702155 128.50860
#> 262 blue 6 9 0 0.4408973 97.59055
#> 284 blue 7 9 0 0.2255397 33.34701
#> 299 blue 8 9 0 0.3712525 76.87186
#> 304 blue 9 9 0 1.0231812 192.25028
#> 4 blue 1 10 0 0.9646236 186.22601
#> 19 blue 10 10 0 1.7323301 362.84280
#> 43 blue 11 10 0 1.7381222 341.77398
#> 58 blue 12 10 0 1.4399978 227.30817
#> 67 blue 13 10 0 0.5889563 132.28700
#> 81 blue 14 10 0 1.7519073 335.92363
#> 91 blue 15 10 0 1.7678096 330.72821
#> 106 blue 16 10 0 1.9228437 283.95982
#> 124 blue 17 10 0 0.9084797 180.02333
#> 138 blue 18 10 0 0.3704058 76.60411
#> 158 blue 19 10 0 0.2417453 37.37503
#> 169 blue 2 10 0 0.6026693 134.95820
#> 182 blue 20 10 0 1.7299210 347.02437
#> 196 blue 21 10 0 1.3972783 224.05854
#> 212 blue 3 10 0 0.5185744 117.25593
#> 233 blue 4 10 0 0.2599683 42.25450
#> 246 blue 5 10 0 0.5702155 128.50860
#> 268 blue 6 10 0 0.4408973 97.59055
#> 277 blue 7 10 0 0.2255397 33.34701
#> 287 blue 8 10 0 0.3712525 76.87186
#> 312 blue 9 10 0 1.0231812 192.25028
#> 8 blue 1 11 0 0.9646236 186.22601
#> 27 blue 10 11 0 1.7323301 362.84280
#> 32 blue 11 11 0 1.7381222 341.77398
#> 60 blue 12 11 0 1.4399978 227.30817
#> 62 blue 13 11 0 0.5889563 132.28700
#> 80 blue 14 11 0 1.7519073 335.92363
#> 93 blue 15 11 0 1.7678096 330.72821
#> 109 blue 16 11 0 1.9228437 283.95982
#> 129 blue 17 11 0 0.9084797 180.02333
#> 143 blue 18 11 0 0.3704058 76.60411
#> 163 blue 19 11 0 0.2417453 37.37503
#> 174 blue 2 11 0 0.6026693 134.95820
#> 187 blue 20 11 0 1.7299210 347.02437
#> 206 blue 21 11 0 1.3972783 224.05854
#> 218 blue 3 11 0 0.5185744 117.25593
#> 230 blue 4 11 0 0.2599683 42.25450
#> 255 blue 5 11 1 0.5702155 128.50860
#> 270 blue 6 11 0 0.4408973 97.59055
#> 278 blue 7 11 0 0.2255397 33.34701
#> 295 blue 8 11 0 0.3712525 76.87186
#> 315 blue 9 11 0 1.0231812 192.25028
#> 5 blue 1 12 0 0.9646236 186.22601
#> 17 blue 10 12 0 1.7323301 362.84280
#> 35 blue 11 12 0 1.7381222 341.77398
#> 52 blue 12 12 0 1.4399978 227.30817
#> 64 blue 13 12 0 0.5889563 132.28700
#> 76 blue 14 12 0 1.7519073 335.92363
#> 96 blue 15 12 0 1.7678096 330.72821
#> 108 blue 16 12 0 1.9228437 283.95982
#> 126 blue 17 12 0 0.9084797 180.02333
#> 141 blue 18 12 0 0.3704058 76.60411
#> 160 blue 19 12 1 0.2417453 37.37503
#> 179 blue 2 12 0 0.6026693 134.95820
#> 190 blue 20 12 0 1.7299210 347.02437
#> 200 blue 21 12 0 1.3972783 224.05854
#> 222 blue 3 12 0 0.5185744 117.25593
#> 236 blue 4 12 0 0.2599683 42.25450
#> 242 blue 5 12 0 0.5702155 128.50860
#> 257 blue 6 12 0 0.4408973 97.59055
#> 275 blue 7 12 0 0.2255397 33.34701
#> 292 blue 8 12 0 0.3712525 76.87186
#> 311 blue 9 12 0 1.0231812 192.25028
#> 10 blue 1 13 0 0.9646236 186.22601
#> 23 blue 10 13 0 1.7323301 362.84280
#> 38 blue 11 13 0 1.7381222 341.77398
#> 56 blue 12 13 0 1.4399978 227.30817
#> 70 blue 13 13 0 0.5889563 132.28700
#> 82 blue 14 13 0 1.7519073 335.92363
#> 101 blue 15 13 1 1.7678096 330.72821
#> 111 blue 16 13 0 1.9228437 283.95982
#> 130 blue 17 13 0 0.9084797 180.02333
#> 140 blue 18 13 0 0.3704058 76.60411
#> 152 blue 19 13 0 0.2417453 37.37503
#> 176 blue 2 13 0 0.6026693 134.95820
#> 193 blue 20 13 0 1.7299210 347.02437
#> 208 blue 21 13 0 1.3972783 224.05854
#> 220 blue 3 13 0 0.5185744 117.25593
#> 235 blue 4 13 0 0.2599683 42.25450
#> 250 blue 5 13 0 0.5702155 128.50860
#> 264 blue 6 13 0 0.4408973 97.59055
#> 283 blue 7 13 0 0.2255397 33.34701
#> 294 blue 8 13 0 0.3712525 76.87186
#> 305 blue 9 13 0 1.0231812 192.25028
#> 6 blue 1 14 0 0.9646236 186.22601
#> 16 blue 10 14 0 1.7323301 362.84280
#> 34 blue 11 14 0 1.7381222 341.77398
#> 50 blue 12 14 0 1.4399978 227.30817
#> 69 blue 13 14 0 0.5889563 132.28700
#> 79 blue 14 14 0 1.7519073 335.92363
#> 99 blue 15 14 0 1.7678096 330.72821
#> 113 blue 16 14 0 1.9228437 283.95982
#> 125 blue 17 14 0 0.9084797 180.02333
#> 148 blue 18 14 0 0.3704058 76.60411
#> 153 blue 19 14 0 0.2417453 37.37503
#> 177 blue 2 14 0 0.6026693 134.95820
#> 188 blue 20 14 0 1.7299210 347.02437
#> 202 blue 21 14 0 1.3972783 224.05854
#> 217 blue 3 14 0 0.5185744 117.25593
#> 231 blue 4 14 0 0.2599683 42.25450
#> 244 blue 5 14 0 0.5702155 128.50860
#> 256 blue 6 14 0 0.4408973 97.59055
#> 271 blue 7 14 0 0.2255397 33.34701
#> 288 blue 8 14 0 0.3712525 76.87186
#> 313 blue 9 14 0 1.0231812 192.25028
#> 12 blue 1 15 0 0.9646236 186.22601
#> 21 blue 10 15 0 1.7323301 362.84280
#> 40 blue 11 15 0 1.7381222 341.77398
#> 51 blue 12 15 0 1.4399978 227.30817
#> 75 blue 13 15 0 0.5889563 132.28700
#> 88 blue 14 15 0 1.7519073 335.92363
#> 104 blue 15 15 0 1.7678096 330.72821
#> 112 blue 16 15 0 1.9228437 283.95982
#> 128 blue 17 15 0 0.9084797 180.02333
#> 147 blue 18 15 0 0.3704058 76.60411
#> 157 blue 19 15 1 0.2417453 37.37503
#> 168 blue 2 15 0 0.6026693 134.95820
#> 194 blue 20 15 0 1.7299210 347.02437
#> 210 blue 21 15 0 1.3972783 224.05854
#> 216 blue 3 15 0 0.5185744 117.25593
#> 226 blue 4 15 0 0.2599683 42.25450
#> 249 blue 5 15 0 0.5702155 128.50860
#> 263 blue 6 15 0 0.4408973 97.59055
#> 276 blue 7 15 0 0.2255397 33.34701
#> 289 blue 8 15 0 0.3712525 76.87186
#> 310 blue 9 15 0 1.0231812 192.25028
#> 318 red 1 1 0 0.9646236 186.22601
#> 344 red 10 1 0 1.7323301 362.84280
#> 360 red 11 1 0 1.7381222 341.77398
#> 375 red 12 1 0 1.4399978 227.30817
#> 390 red 13 1 0 0.5889563 132.28700
#> 400 red 14 1 0 1.7519073 335.92363
#> 417 red 15 1 0 1.7678096 330.72821
#> 434 red 16 1 0 1.9228437 283.95982
#> 447 red 17 1 0 0.9084797 180.02333
#> 464 red 18 1 0 0.3704058 76.60411
#> 470 red 19 1 0 0.2417453 37.37503
#> 487 red 2 1 0 0.6026693 134.95820
#> 498 red 20 1 0 1.7299210 347.02437
#> 520 red 21 1 0 1.3972783 224.05854
#> 526 red 3 1 0 0.5185744 117.25593
#> 542 red 4 1 2 0.2599683 42.25450
#> 556 red 5 1 0 0.5702155 128.50860
#> 578 red 6 1 0 0.4408973 97.59055
#> 600 red 7 1 3 0.2255397 33.34701
#> 608 red 8 1 0 0.3712525 76.87186
#> 619 red 9 1 0 1.0231812 192.25028
#> 326 red 1 2 0 0.9646236 186.22601
#> 342 red 10 2 0 1.7323301 362.84280
#> 358 red 11 2 0 1.7381222 341.77398
#> 373 red 12 2 0 1.4399978 227.30817
#> 383 red 13 2 0 0.5889563 132.28700
#> 393 red 14 2 0 1.7519073 335.92363
#> 420 red 15 2 0 1.7678096 330.72821
#> 431 red 16 2 0 1.9228437 283.95982
#> 441 red 17 2 0 0.9084797 180.02333
#> 453 red 18 2 0 0.3704058 76.60411
#> 469 red 19 2 0 0.2417453 37.37503
#> 481 red 2 2 0 0.6026693 134.95820
#> 500 red 20 2 0 1.7299210 347.02437
#> 514 red 21 2 0 1.3972783 224.05854
#> 527 red 3 2 0 0.5185744 117.25593
#> 543 red 4 2 16 0.2599683 42.25450
#> 557 red 5 2 0 0.5702155 128.50860
#> 576 red 6 2 2 0.4408973 97.59055
#> 596 red 7 2 8 0.2255397 33.34701
#> 615 red 8 2 0 0.3712525 76.87186
#> 629 red 9 2 0 1.0231812 192.25028
#> 319 red 1 3 0 0.9646236 186.22601
#> 338 red 10 3 0 1.7323301 362.84280
#> 349 red 11 3 0 1.7381222 341.77398
#> 369 red 12 3 0 1.4399978 227.30817
#> 382 red 13 3 0 0.5889563 132.28700
#> 402 red 14 3 0 1.7519073 335.92363
#> 419 red 15 3 0 1.7678096 330.72821
#> 426 red 16 3 0 1.9228437 283.95982
#> 437 red 17 3 0 0.9084797 180.02333
#> 451 red 18 3 0 0.3704058 76.60411
#> 476 red 19 3 0 0.2417453 37.37503
#> 484 red 2 3 0 0.6026693 134.95820
#> 506 red 20 3 0 1.7299210 347.02437
#> 521 red 21 3 0 1.3972783 224.05854
#> 531 red 3 3 0 0.5185744 117.25593
#> 548 red 4 3 7 0.2599683 42.25450
#> 569 red 5 3 0 0.5702155 128.50860
#> 573 red 6 3 2 0.4408973 97.59055
#> 599 red 7 3 9 0.2255397 33.34701
#> 613 red 8 3 0 0.3712525 76.87186
#> 627 red 9 3 0 1.0231812 192.25028
#> 321 red 1 4 0 0.9646236 186.22601
#> 343 red 10 4 0 1.7323301 362.84280
#> 351 red 11 4 0 1.7381222 341.77398
#> 368 red 12 4 0 1.4399978 227.30817
#> 380 red 13 4 0 0.5889563 132.28700
#> 391 red 14 4 0 1.7519073 335.92363
#> 409 red 15 4 0 1.7678096 330.72821
#> 425 red 16 4 0 1.9228437 283.95982
#> 438 red 17 4 0 0.9084797 180.02333
#> 457 red 18 4 0 0.3704058 76.60411
#> 468 red 19 4 0 0.2417453 37.37503
#> 491 red 2 4 1 0.6026693 134.95820
#> 504 red 20 4 0 1.7299210 347.02437
#> 522 red 21 4 0 1.3972783 224.05854
#> 536 red 3 4 0 0.5185744 117.25593
#> 550 red 4 4 7 0.2599683 42.25450
#> 560 red 5 4 1 0.5702155 128.50860
#> 582 red 6 4 0 0.4408973 97.59055
#> 598 red 7 4 4 0.2255397 33.34701
#> 614 red 8 4 0 0.3712525 76.87186
#> 620 red 9 4 0 1.0231812 192.25028
#> 323 red 1 5 0 0.9646236 186.22601
#> 336 red 10 5 0 1.7323301 362.84280
#> 350 red 11 5 0 1.7381222 341.77398
#> 362 red 12 5 0 1.4399978 227.30817
#> 377 red 13 5 0 0.5889563 132.28700
#> 395 red 14 5 0 1.7519073 335.92363
#> 412 red 15 5 0 1.7678096 330.72821
#> 432 red 16 5 0 1.9228437 283.95982
#> 440 red 17 5 0 0.9084797 180.02333
#> 459 red 18 5 0 0.3704058 76.60411
#> 479 red 19 5 0 0.2417453 37.37503
#> 485 red 2 5 1 0.6026693 134.95820
#> 507 red 20 5 0 1.7299210 347.02437
#> 523 red 21 5 0 1.3972783 224.05854
#> 535 red 3 5 0 0.5185744 117.25593
#> 552 red 4 5 3 0.2599683 42.25450
#> 570 red 5 5 0 0.5702155 128.50860
#> 585 red 6 5 1 0.4408973 97.59055
#> 595 red 7 5 0 0.2255397 33.34701
#> 604 red 8 5 0 0.3712525 76.87186
#> 623 red 9 5 0 1.0231812 192.25028
#> 325 red 1 6 0 0.9646236 186.22601
#> 333 red 10 6 0 1.7323301 362.84280
#> 347 red 11 6 0 1.7381222 341.77398
#> 367 red 12 6 0 1.4399978 227.30817
#> 376 red 13 6 0 0.5889563 132.28700
#> 403 red 14 6 0 1.7519073 335.92363
#> 407 red 15 6 0 1.7678096 330.72821
#> 429 red 16 6 0 1.9228437 283.95982
#> 444 red 17 6 0 0.9084797 180.02333
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#> 681 yellow 12 12 0 1.4399978 227.30817
#> 696 yellow 13 12 0 0.5889563 132.28700
#> 719 yellow 14 12 0 1.7519073 335.92363
#> 726 yellow 15 12 0 1.7678096 330.72821
#> 744 yellow 16 12 0 1.9228437 283.95982
#> 756 yellow 17 12 0 0.9084797 180.02333
#> 768 yellow 18 12 0 0.3704058 76.60411
#> 788 yellow 19 12 0 0.2417453 37.37503
#> 798 yellow 2 12 0 0.6026693 134.95820
#> 815 yellow 20 12 0 1.7299210 347.02437
#> 835 yellow 21 12 0 1.3972783 224.05854
#> 846 yellow 3 12 0 0.5185744 117.25593
#> 856 yellow 4 12 0 0.2599683 42.25450
#> 874 yellow 5 12 0 0.5702155 128.50860
#> 896 yellow 6 12 0 0.4408973 97.59055
#> 912 yellow 7 12 0 0.2255397 33.34701
#> 930 yellow 8 12 0 0.3712525 76.87186
#> 937 yellow 9 12 0 1.0231812 192.25028
#> 638 yellow 1 13 0 0.9646236 186.22601
#> 654 yellow 10 13 0 1.7323301 362.84280
#> 661 yellow 11 13 0 1.7381222 341.77398
#> 678 yellow 12 13 0 1.4399978 227.30817
#> 693 yellow 13 13 0 0.5889563 132.28700
#> 706 yellow 14 13 0 1.7519073 335.92363
#> 722 yellow 15 13 0 1.7678096 330.72821
#> 743 yellow 16 13 0 1.9228437 283.95982
#> 762 yellow 17 13 0 0.9084797 180.02333
#> 769 yellow 18 13 0 0.3704058 76.60411
#> 790 yellow 19 13 0 0.2417453 37.37503
#> 799 yellow 2 13 0 0.6026693 134.95820
#> 825 yellow 20 13 0 1.7299210 347.02437
#> 828 yellow 21 13 0 1.3972783 224.05854
#> 845 yellow 3 13 0 0.5185744 117.25593
#> 868 yellow 4 13 0 0.2599683 42.25450
#> 884 yellow 5 13 0 0.5702155 128.50860
#> 899 yellow 6 13 0 0.4408973 97.59055
#> 914 yellow 7 13 0 0.2255397 33.34701
#> 925 yellow 8 13 0 0.3712525 76.87186
#> 943 yellow 9 13 0 1.0231812 192.25028
#> 644 yellow 1 14 0 0.9646236 186.22601
#> 648 yellow 10 14 0 1.7323301 362.84280
#> 662 yellow 11 14 0 1.7381222 341.77398
#> 680 yellow 12 14 0 1.4399978 227.30817
#> 695 yellow 13 14 0 0.5889563 132.28700
#> 711 yellow 14 14 0 1.7519073 335.92363
#> 729 yellow 15 14 0 1.7678096 330.72821
#> 748 yellow 16 14 0 1.9228437 283.95982
#> 760 yellow 17 14 0 0.9084797 180.02333
#> 779 yellow 18 14 0 0.3704058 76.60411
#> 794 yellow 19 14 0 0.2417453 37.37503
#> 801 yellow 2 14 0 0.6026693 134.95820
#> 819 yellow 20 14 0 1.7299210 347.02437
#> 830 yellow 21 14 0 1.3972783 224.05854
#> 848 yellow 3 14 0 0.5185744 117.25593
#> 870 yellow 4 14 0 0.2599683 42.25450
#> 883 yellow 5 14 0 0.5702155 128.50860
#> 894 yellow 6 14 0 0.4408973 97.59055
#> 913 yellow 7 14 0 0.2255397 33.34701
#> 929 yellow 8 14 0 0.3712525 76.87186
#> 935 yellow 9 14 0 1.0231812 192.25028
#> 637 yellow 1 15 0 0.9646236 186.22601
#> 650 yellow 10 15 0 1.7323301 362.84280
#> 665 yellow 11 15 0 1.7381222 341.77398
#> 677 yellow 12 15 0 1.4399978 227.30817
#> 698 yellow 13 15 0 0.5889563 132.28700
#> 709 yellow 14 15 0 1.7519073 335.92363
#> 724 yellow 15 15 0 1.7678096 330.72821
#> 739 yellow 16 15 0 1.9228437 283.95982
#> 765 yellow 17 15 0 0.9084797 180.02333
#> 780 yellow 18 15 0 0.3704058 76.60411
#> 789 yellow 19 15 0 0.2417453 37.37503
#> 808 yellow 2 15 0 0.6026693 134.95820
#> 812 yellow 20 15 0 1.7299210 347.02437
#> 838 yellow 21 15 0 1.3972783 224.05854
#> 853 yellow 3 15 0 0.5185744 117.25593
#> 865 yellow 4 15 0 0.2599683 42.25450
#> 876 yellow 5 15 0 0.5702155 128.50860
#> 889 yellow 6 15 0 0.4408973 97.59055
#> 904 yellow 7 15 0 0.2255397 33.34701
#> 916 yellow 8 15 0 0.3712525 76.87186
#> 936 yellow 9 15 0 1.0231812 192.25028
yellow_release <- sit_revents(sit_prototype)[1,]
dispersal(
sit_prototype,
following_releases = yellow_release,
following_days = 7L
)
#> population trap age n w dist_m
#> 1 yellow 1 1 0 0.9646236 186.22601
#> 11 yellow 10 1 0 1.7323301 362.84280
#> 16 yellow 11 1 0 1.7381222 341.77398
#> 22 yellow 12 1 0 1.4399978 227.30817
#> 29 yellow 13 1 0 0.5889563 132.28700
#> 33 yellow 14 1 0 1.7519073 335.92363
#> 41 yellow 15 1 0 1.7678096 330.72821
#> 47 yellow 16 1 0 1.9228437 283.95982
#> 51 yellow 17 1 0 0.9084797 180.02333
#> 59 yellow 18 1 0 0.3704058 76.60411
#> 65 yellow 19 1 0 0.2417453 37.37503
#> 67 yellow 2 1 0 0.6026693 134.95820
#> 73 yellow 20 1 0 1.7299210 347.02437
#> 79 yellow 21 1 0 1.3972783 224.05854
#> 87 yellow 3 1 0 0.5185744 117.25593
#> 93 yellow 4 1 10 0.2599683 42.25450
#> 101 yellow 5 1 0 0.5702155 128.50860
#> 105 yellow 6 1 4 0.4408973 97.59055
#> 113 yellow 7 1 1 0.2255397 33.34701
#> 119 yellow 8 1 0 0.3712525 76.87186
#> 123 yellow 9 1 0 1.0231812 192.25028
#> 5 yellow 1 2 0 0.9646236 186.22601
#> 12 yellow 10 2 0 1.7323301 362.84280
#> 18 yellow 11 2 0 1.7381222 341.77398
#> 24 yellow 12 2 0 1.4399978 227.30817
#> 30 yellow 13 2 1 0.5889563 132.28700
#> 35 yellow 14 2 0 1.7519073 335.92363
#> 42 yellow 15 2 0 1.7678096 330.72821
#> 48 yellow 16 2 0 1.9228437 283.95982
#> 53 yellow 17 2 0 0.9084797 180.02333
#> 60 yellow 18 2 0 0.3704058 76.60411
#> 66 yellow 19 2 0 0.2417453 37.37503
#> 71 yellow 2 2 0 0.6026693 134.95820
#> 76 yellow 20 2 0 1.7299210 347.02437
#> 82 yellow 21 2 0 1.3972783 224.05854
#> 89 yellow 3 2 0 0.5185744 117.25593
#> 95 yellow 4 2 8 0.2599683 42.25450
#> 102 yellow 5 2 0 0.5702155 128.50860
#> 107 yellow 6 2 1 0.4408973 97.59055
#> 114 yellow 7 2 1 0.2255397 33.34701
#> 120 yellow 8 2 0 0.3712525 76.87186
#> 125 yellow 9 2 0 1.0231812 192.25028
#> 2 yellow 1 3 0 0.9646236 186.22601
#> 8 yellow 10 3 0 1.7323301 362.84280
#> 14 yellow 11 3 0 1.7381222 341.77398
#> 21 yellow 12 3 0 1.4399978 227.30817
#> 25 yellow 13 3 0 0.5889563 132.28700
#> 34 yellow 14 3 0 1.7519073 335.92363
#> 39 yellow 15 3 0 1.7678096 330.72821
#> 43 yellow 16 3 0 1.9228437 283.95982
#> 52 yellow 17 3 0 0.9084797 180.02333
#> 55 yellow 18 3 0 0.3704058 76.60411
#> 61 yellow 19 3 2 0.2417453 37.37503
#> 68 yellow 2 3 0 0.6026693 134.95820
#> 75 yellow 20 3 0 1.7299210 347.02437
#> 81 yellow 21 3 0 1.3972783 224.05854
#> 88 yellow 3 3 0 0.5185744 117.25593
#> 94 yellow 4 3 9 0.2599683 42.25450
#> 97 yellow 5 3 0 0.5702155 128.50860
#> 106 yellow 6 3 3 0.4408973 97.59055
#> 111 yellow 7 3 3 0.2255397 33.34701
#> 115 yellow 8 3 0 0.3712525 76.87186
#> 124 yellow 9 3 0 1.0231812 192.25028
#> 4 yellow 1 4 0 0.9646236 186.22601
#> 10 yellow 10 4 0 1.7323301 362.84280
#> 17 yellow 11 4 0 1.7381222 341.77398
#> 23 yellow 12 4 0 1.4399978 227.30817
#> 27 yellow 13 4 0 0.5889563 132.28700
#> 36 yellow 14 4 0 1.7519073 335.92363
#> 40 yellow 15 4 0 1.7678096 330.72821
#> 45 yellow 16 4 0 1.9228437 283.95982
#> 54 yellow 17 4 0 0.9084797 180.02333
#> 57 yellow 18 4 1 0.3704058 76.60411
#> 63 yellow 19 4 0 0.2417453 37.37503
#> 70 yellow 2 4 0 0.6026693 134.95820
#> 77 yellow 20 4 0 1.7299210 347.02437
#> 83 yellow 21 4 0 1.3972783 224.05854
#> 90 yellow 3 4 0 0.5185744 117.25593
#> 96 yellow 4 4 0 0.2599683 42.25450
#> 99 yellow 5 4 0 0.5702155 128.50860
#> 108 yellow 6 4 0 0.4408973 97.59055
#> 112 yellow 7 4 2 0.2255397 33.34701
#> 117 yellow 8 4 0 0.3712525 76.87186
#> 126 yellow 9 4 0 1.0231812 192.25028
#> 3 yellow 1 5 0 0.9646236 186.22601
#> 7 yellow 10 5 0 1.7323301 362.84280
#> 13 yellow 11 5 0 1.7381222 341.77398
#> 19 yellow 12 5 0 1.4399978 227.30817
#> 26 yellow 13 5 0 0.5889563 132.28700
#> 31 yellow 14 5 0 1.7519073 335.92363
#> 37 yellow 15 5 0 1.7678096 330.72821
#> 44 yellow 16 5 0 1.9228437 283.95982
#> 49 yellow 17 5 0 0.9084797 180.02333
#> 56 yellow 18 5 0 0.3704058 76.60411
#> 62 yellow 19 5 0 0.2417453 37.37503
#> 69 yellow 2 5 0 0.6026693 134.95820
#> 74 yellow 20 5 0 1.7299210 347.02437
#> 80 yellow 21 5 0 1.3972783 224.05854
#> 85 yellow 3 5 0 0.5185744 117.25593
#> 91 yellow 4 5 0 0.2599683 42.25450
#> 98 yellow 5 5 0 0.5702155 128.50860
#> 103 yellow 6 5 0 0.4408973 97.59055
#> 109 yellow 7 5 2 0.2255397 33.34701
#> 116 yellow 8 5 0 0.3712525 76.87186
#> 121 yellow 9 5 0 1.0231812 192.25028
#> 6 yellow 1 6 0 0.9646236 186.22601
#> 9 yellow 10 6 0 1.7323301 362.84280
#> 15 yellow 11 6 0 1.7381222 341.77398
#> 20 yellow 12 6 0 1.4399978 227.30817
#> 28 yellow 13 6 0 0.5889563 132.28700
#> 32 yellow 14 6 0 1.7519073 335.92363
#> 38 yellow 15 6 0 1.7678096 330.72821
#> 46 yellow 16 6 0 1.9228437 283.95982
#> 50 yellow 17 6 0 0.9084797 180.02333
#> 58 yellow 18 6 0 0.3704058 76.60411
#> 64 yellow 19 6 0 0.2417453 37.37503
#> 72 yellow 2 6 1 0.6026693 134.95820
#> 78 yellow 20 6 0 1.7299210 347.02437
#> 84 yellow 21 6 0 1.3972783 224.05854
#> 86 yellow 3 6 0 0.5185744 117.25593
#> 92 yellow 4 6 0 0.2599683 42.25450
#> 100 yellow 5 6 0 0.5702155 128.50860
#> 104 yellow 6 6 0 0.4408973 97.59055
#> 110 yellow 7 6 0 0.2255397 33.34701
#> 118 yellow 8 6 0 0.3712525 76.87186
#> 122 yellow 9 6 0 1.0231812 192.25028