Sample points at regular angular intervals from the centroid (radial sampling).
Arguments
- x
A matrix (nx2), list of matrices, or tibble with coo columns.
- ...
Additional arguments (reserved for future use).
- .cols
Column name(s) to process when
xis a tibble. IfNULL, automatically detects columns containing coo columns.- .ldk_col
Character. Name of landmark column. If
NULL, usescolname_ldk.- n
Integer. Number of points to sample.
Value
If
xis a single matrix: returns the sampled matrixIf
xis a list: returns a list of sampled matricesIf
xis a tibble: returns the tibble with sampled coo column(s)
Details
Samples points at regular angular intervals from the centroid, like spokes on a wheel. For each target angle, finds the outline point closest to that direction.
Landmarks are NOT preserved - this resampling method fundamentally changes the point structure.
See also
coo_sample() for arc-length sampling
Examples
# Sample at 64 regular angles
coo_sample_regular_radius(shapes$cat, n = 64)
#> <xy [64 x 2]>
#> [,1] [,2]
#> [1,] 221 97
#> [2,] 221 97
#> [3,] 221 102
#> [4,] 221 102
#> [5,] 222 108
#> [6,] ... ...
#> [7,] 133 92
#> [8,] 133 92
#> [9,] 133 92
#> [10,] 133 92
#> [11,] 133 92
# Works on lists
coo_sample_regular_radius(bot$coo, n = 32)
#> $brahma
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 297 534
#> [2,] 305 576
#> [3,] 310 608
#> [4,] 310 639
#> [5,] 307 681
#> [6,] ... ...
#> [7,] 40 540
#> [8,] 40 540
#> [9,] 40 540
#> [10,] 40 540
#> [11,] 40 540
#>
#> $caney
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 310 503
#> [2,] 311 543
#> [3,] 309 563
#> [4,] 304 583
#> [5,] 285 624
#> [6,] ... ...
#> [7,] 54 505
#> [8,] 54 505
#> [9,] 54 505
#> [10,] 54 505
#> [11,] 54 505
#>
#> $chimay
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 286 317
#> [2,] 286 341
#> [3,] 284 364
#> [4,] 273 387
#> [5,] 265 401
#> [6,] ... ...
#> [7,] 50 310
#> [8,] 50 310
#> [9,] 50 310
#> [10,] 50 310
#> [11,] 50 310
#>
#> $corona
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 276 410
#> [2,] 276 421
#> [3,] 273 452
#> [4,] 270 461
#> [5,] 256 491
#> [6,] ... ...
#> [7,] 90 395
#> [8,] 90 395
#> [9,] 90 395
#> [10,] 90 395
#> [11,] 90 395
#>
#> $deusventrue
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 294 472
#> [2,] 290 481
#> [3,] 276 510
#> [4,] 271 519
#> [5,] 260 547
#> [6,] ... ...
#> [7,] 62 454
#> [8,] 62 454
#> [9,] 62 454
#> [10,] 62 454
#> [11,] 62 454
#>
#> $duvel
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 298 282
#> [2,] 297 315
#> [3,] 295 336
#> [4,] 288 358
#> [5,] 274 380
#> [6,] ... ...
#> [7,] 61 282
#> [8,] 61 282
#> [9,] 61 282
#> [10,] 61 282
#> [11,] 61 282
#>
#> $franziskaner
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 266 419
#> [2,] 266 450
#> [3,] 266 461
#> [4,] 266 492
#> [5,] 262 523
#> [6,] ... ...
#> [7,] 54 418
#> [8,] 54 418
#> [9,] 54 418
#> [10,] 54 418
#> [11,] 54 418
#>
#> $grimbergen
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 291 389
#> [2,] 290 420
#> [3,] 282 450
#> [4,] 276 461
#> [5,] 257 489
#> [6,] ... ...
#> [7,] 40 394
#> [8,] 40 394
#> [9,] 40 394
#> [10,] 40 394
#> [11,] 40 394
#>
#> $guiness
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 295 374
#> [2,] 295 391
#> [3,] 295 423
#> [4,] 292 439
#> [5,] 276 472
#> [6,] ... ...
#> [7,] 69 369
#> [8,] 69 369
#> [9,] 69 369
#> [10,] 69 369
#> [11,] 69 369
#>
#> $hoegardeen
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 305 527
#> [2,] 302 552
#> [3,] 298 577
#> [4,] 291 602
#> [5,] 280 639
#> [6,] ... ...
#> [7,] 40 519
#> [8,] 40 519
#> [9,] 40 519
#> [10,] 40 519
#> [11,] 40 519
#>
#> $jupiler
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 294 518
#> [2,] 292 531
#> [3,] 287 559
#> [4,] 280 586
#> [5,] 272 613
#> [6,] ... ...
#> [7,] 54 501
#> [8,] 54 501
#> [9,] 54 501
#> [10,] 54 501
#> [11,] 54 501
#>
#> $kingfisher
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 255 365
#> [2,] 253 384
#> [3,] 249 404
#> [4,] 244 422
#> [5,] 239 442
#> [6,] ... ...
#> [7,] 71 365
#> [8,] 71 365
#> [9,] 71 365
#> [10,] 71 365
#> [11,] 71 365
#>
#> $latrappe
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 326 340
#> [2,] 326 377
#> [3,] 326 402
#> [4,] 325 440
#> [5,] 312 489
#> [6,] ... ...
#> [7,] 25 339
#> [8,] 25 339
#> [9,] 25 339
#> [10,] 25 339
#> [11,] 25 339
#>
#> $lindemanskriek
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 270 403
#> [2,] 265 427
#> [3,] 262 443
#> [4,] 254 468
#> [5,] 247 493
#> [6,] ... ...
#> [7,] 55 404
#> [8,] 55 404
#> [9,] 55 404
#> [10,] 55 404
#> [11,] 55 404
#>
#> $nicechouffe
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 262 342
#> [2,] 259 358
#> [3,] 256 374
#> [4,] 251 391
#> [5,] 244 415
#> [6,] ... ...
#> [7,] 77 336
#> [8,] 77 336
#> [9,] 77 336
#> [10,] 77 336
#> [11,] 77 336
#>
#> $pecheresse
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 286 489
#> [2,] 283 509
#> [3,] 277 538
#> [4,] 273 557
#> [5,] 266 585
#> [6,] ... ...
#> [7,] 61 476
#> [8,] 61 476
#> [9,] 61 476
#> [10,] 61 476
#> [11,] 61 476
#>
#> $sierranevada
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 272 329
#> [2,] 272 354
#> [3,] 271 379
#> [4,] 268 403
#> [5,] 255 428
#> [6,] ... ...
#> [7,] 61 333
#> [8,] 61 333
#> [9,] 61 333
#> [10,] 61 333
#> [11,] 61 333
#>
#> $tanglefoot
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 298 345
#> [2,] 299 369
#> [3,] 300 401
#> [4,] 295 425
#> [5,] 282 448
#> [6,] ... ...
#> [7,] 48 335
#> [8,] 48 335
#> [9,] 48 335
#> [10,] 48 335
#> [11,] 48 335
#>
#> $tauro
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 293 520
#> [2,] 293 532
#> [3,] 288 557
#> [4,] 282 581
#> [5,] 275 605
#> [6,] ... ...
#> [7,] 54 503
#> [8,] 54 503
#> [9,] 54 503
#> [10,] 54 503
#> [11,] 54 503
#>
#> $westmalle
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 254 389
#> [2,] 252 397
#> [3,] 247 421
#> [4,] 244 436
#> [5,] 237 460
#> [6,] ... ...
#> [7,] 67 369
#> [8,] 67 369
#> [9,] 67 369
#> [10,] 67 369
#> [11,] 67 369
#>
#> $amrut
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 268 423
#> [2,] 268 443
#> [3,] 268 463
#> [4,] 268 493
#> [5,] 267 523
#> [6,] ... ...
#> [7,] 57 411
#> [8,] 57 411
#> [9,] 57 411
#> [10,] 57 411
#> [11,] 57 411
#>
#> $ballantines
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 309 335
#> [2,] 309 359
#> [3,] 308 382
#> [4,] 308 414
#> [5,] 307 461
#> [6,] ... ...
#> [7,] 38 318
#> [8,] 38 318
#> [9,] 38 318
#> [10,] 38 318
#> [11,] 38 318
#>
#> $bushmills
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 288 430
#> [2,] 288 460
#> [3,] 288 476
#> [4,] 288 507
#> [5,] 290 537
#> [6,] ... ...
#> [7,] 72 425
#> [8,] 72 425
#> [9,] 72 425
#> [10,] 72 425
#> [11,] 72 425
#>
#> $chivas
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 332 406
#> [2,] 330 431
#> [3,] 315 464
#> [4,] 297 486
#> [5,] 281 501
#> [6,] ... ...
#> [7,] 29 404
#> [8,] 29 404
#> [9,] 29 404
#> [10,] 29 404
#> [11,] 29 404
#>
#> $dalmore
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 311 334
#> [2,] 306 359
#> [3,] 295 384
#> [4,] 286 396
#> [5,] 262 421
#> [6,] ... ...
#> [7,] 42 322
#> [8,] 42 322
#> [9,] 42 322
#> [10,] 42 322
#> [11,] 42 322
#>
#> $famousgrouse
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 250 296
#> [2,] 250 315
#> [3,] 250 334
#> [4,] 250 353
#> [5,] 250 372
#> [6,] ... ...
#> [7,] 99 294
#> [8,] 99 294
#> [9,] 99 294
#> [10,] 99 294
#> [11,] 99 294
#>
#> $glendronach
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 272 404
#> [2,] 272 428
#> [3,] 272 452
#> [4,] 272 476
#> [5,] 270 512
#> [6,] ... ...
#> [7,] 74 399
#> [8,] 74 399
#> [9,] 74 399
#> [10,] 74 399
#> [11,] 74 399
#>
#> $glenmorangie
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 298 491
#> [2,] 300 524
#> [3,] 300 541
#> [4,] 298 574
#> [5,] 289 608
#> [6,] ... ...
#> [7,] 54 485
#> [8,] 54 485
#> [9,] 54 485
#> [10,] 54 485
#> [11,] 54 485
#>
#> $highlandpark
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 291 347
#> [2,] 291 375
#> [3,] 291 403
#> [4,] 291 431
#> [5,] 293 473
#> [6,] ... ...
#> [7,] 42 343
#> [8,] 42 343
#> [9,] 42 343
#> [10,] 42 343
#> [11,] 42 343
#>
#> $jackdaniels
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 301 389
#> [2,] 301 415
#> [3,] 300 441
#> [4,] 298 467
#> [5,] 291 492
#> [6,] ... ...
#> [7,] 63 375
#> [8,] 63 375
#> [9,] 63 375
#> [10,] 63 375
#> [11,] 63 375
#>
#> $jb
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 300 500
#> [2,] 299 532
#> [3,] 300 554
#> [4,] 302 597
#> [5,] 293 629
#> [6,] ... ...
#> [7,] 42 488
#> [8,] 42 488
#> [9,] 42 488
#> [10,] 42 488
#> [11,] 42 488
#>
#> $johnniewalker
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 217 164
#> [2,] 217 176
#> [3,] 217 184
#> [4,] 217 192
#> [5,] 217 208
#> [6,] ... ...
#> [7,] 133 163
#> [8,] 133 163
#> [9,] 133 163
#> [10,] 133 163
#> [11,] 133 163
#>
#> $magallan
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 255 385
#> [2,] 255 400
#> [3,] 257 421
#> [4,] 258 450
#> [5,] 258 479
#> [6,] ... ...
#> [7,] 78 382
#> [8,] 78 382
#> [9,] 78 382
#> [10,] 78 382
#> [11,] 78 382
#>
#> $makersmark
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 338 400
#> [2,] 326 426
#> [3,] 303 449
#> [4,] 276 469
#> [5,] 262 490
#> [6,] ... ...
#> [7,] 13 394
#> [8,] 13 394
#> [9,] 13 394
#> [10,] 13 394
#> [11,] 13 394
#>
#> $oban
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 278 449
#> [2,] 279 466
#> [3,] 279 492
#> [4,] 280 509
#> [5,] 277 543
#> [6,] ... ...
#> [7,] 74 431
#> [8,] 74 431
#> [9,] 74 431
#> [10,] 74 431
#> [11,] 74 431
#>
#> $oldpotrero
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 265 282
#> [2,] 256 298
#> [3,] 238 323
#> [4,] 232 331
#> [5,] 226 340
#> [6,] ... ...
#> [7,] 63 274
#> [8,] 63 274
#> [9,] 63 274
#> [10,] 63 274
#> [11,] 63 274
#>
#> $redbreast
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 255 200
#> [2,] 255 214
#> [3,] 248 233
#> [4,] 236 246
#> [5,] 227 252
#> [6,] ... ...
#> [7,] 97 200
#> [8,] 97 200
#> [9,] 97 200
#> [10,] 97 200
#> [11,] 97 200
#>
#> $tamdhu
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 299 527
#> [2,] 299 551
#> [3,] 301 588
#> [4,] 302 625
#> [5,] 298 650
#> [6,] ... ...
#> [7,] 49 527
#> [8,] 49 527
#> [9,] 49 527
#> [10,] 49 527
#> [11,] 49 527
#>
#> $wildturkey
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 327 537
#> [2,] 327 565
#> [3,] 330 606
#> [4,] 327 634
#> [5,] 312 676
#> [6,] ... ...
#> [7,] 18 527
#> [8,] 18 527
#> [9,] 18 527
#> [10,] 18 527
#> [11,] 18 527
#>
#> $yoichi
#> <xy [32 x 2]>
#> [,1] [,2]
#> [1,] 292 356
#> [2,] 293 386
#> [3,] 293 408
#> [4,] 294 437
#> [5,] 293 481
#> [6,] ... ...
#> [7,] 69 355
#> [8,] 69 355
#> [9,] 69 355
#> [10,] 69 355
#> [11,] 69 355
#>
#> attr(,"class")
#> [1] "out" "coo" "list"
# Works on tibbles
coo_sample_regular_radius(bot, n = 128)
#> # A tibble: 40 × 3
#> coo type dummy
#> <out> <fct> <fct>
#> 1 (128 x 2) whisky a
#> 2 (128 x 2) whisky a
#> 3 (128 x 2) whisky a
#> 4 (128 x 2) whisky a
#> 5 (128 x 2) whisky a
#> 6 (128 x 2) whisky a
#> 7 (128 x 2) whisky a
#> 8 (128 x 2) whisky a
#> 9 (128 x 2) whisky a
#> 10 (128 x 2) whisky a
#> # ℹ 30 more rows