У меня есть спортивный набор данных трекинга (10 точек данных в секунду), и я смотрю на построение графиков на основе вороного для его визуализации.Построение его для одной точки данных, такой как это, может быть выполнено через ggplot и ggforce:
df<- as_tibble(list(Latitude = c(52.2153439, 52.2150796, 52.2154053, 52.2154117,
52.215447, 52.2150971, 52.2150732, 52.2150843,
52.2155136, 52.2151642),
Longitude = c(-2.1630693, -2.1628415, -2.16287, -2.1628658,
-2.1628006, -2.1629321, -2.1630911, -2.1630671,
-2.1625132, -2.1628316),
Name = c("Player One", "Player Two",
"Player Three", "Player Four",
"Player Five", "Player Six",
"Player Seven", "Player Eight",
"Player Nine", "Player Ten")))
Однако, когда я расширяю набор данных, чтобы включить несколько точек данных на игрока, и использую gganimate дляпревратить это в тесселяцию я сталкиваюсь с проблемами.Поскольку это часто включает дублирующие точки, когда игрок покрывал один и тот же лонг / лат в разные моменты времени, основной функции вороной (от deldir?) Не нравятся дублирующие точки.
Я смотрелв конструкцию вороной с нуля, но до сих пор не смогли этого сделать из-за сгруппированной природы набора данных.
df2 <- structure(list(Latitude = c(52.2153439, 52.2153458, 52.2153475,
52.2153496, 52.2153517, 52.2153532, 52.2153554, 52.2153578, 52.2153601,
52.215362, 52.2153639, 52.215366, 52.2153677, 52.2153691, 52.2153716,
52.2153739, 52.2153765, 52.2153785, 52.2153804, 52.2153826, 52.2153843,
52.2153863, 52.2153884, 52.2153907, 52.2153927, 52.2153955, 52.2153972,
52.2153988, 52.2154006, 52.2154035, 52.215406, 52.215409, 52.2154117,
52.2154146, 52.2154173, 52.2154202, 52.2154235, 52.215427, 52.2154299,
52.2154326, 52.2154358, 52.2154386, 52.2154416, 52.2154443, 52.2154475,
52.2154515, 52.2154536, 52.2154569, 52.2154598, 52.2154621, 52.2154654,
52.2150796, 52.2150798, 52.2150799, 52.2150801, 52.2150802, 52.2150803,
52.2150805, 52.2150806, 52.2150808, 52.2150809, 52.215081, 52.215081,
52.2150812, 52.2150813, 52.2150813, 52.2150814, 52.2150815, 52.2150816,
52.2150816, 52.2150816, 52.2150817, 52.2150817, 52.2150817, 52.2150817,
52.2150818, 52.2150818, 52.2150819, 52.2150818, 52.2150819, 52.2150819,
52.215082, 52.215082, 52.2150821, 52.2150822, 52.2150823, 52.2150823,
52.2150824, 52.2150825, 52.2150825, 52.2150827, 52.2150827, 52.2150827,
52.2150827, 52.2150826, 52.2150828, 52.2150826, 52.2150827, 52.2150827,
52.2150827, 52.2150829, 52.2150828, 52.2154053, 52.2154058, 52.2154052,
52.2154047, 52.2154052, 52.2154064, 52.2154065, 52.2154071, 52.2154064,
52.2154054, 52.2154052, 52.2154067, 52.2154073, 52.215409, 52.2154106,
52.2154131, 52.2154147, 52.2154163, 52.2154168, 52.2154175, 52.2154181,
52.2154195, 52.2154186, 52.2154191, 52.2154194, 52.2154192, 52.2154193,
52.2154188, 52.2154184, 52.215418, 52.2154178, 52.2154175, 52.2154172,
52.2154176, 52.215418, 52.2154185, 52.2154195, 52.2154204, 52.2154214,
52.2154226, 52.2154234, 52.2154245, 52.2154259, 52.2154268, 52.215428,
52.2154285, 52.2154291, 52.2154305, 52.215432, 52.2154332, 52.2154342,
52.2154117, 52.215412, 52.2154125, 52.2154126, 52.2154138, 52.2154157,
52.2154162, 52.2154175, 52.2154182, 52.2154195, 52.215422, 52.2154257,
52.215427, 52.2154291, 52.2154324, 52.2154331, 52.2154343, 52.2154346,
52.215437, 52.2154382, 52.2154401, 52.2154417, 52.2154431, 52.2154444,
52.2154459, 52.2154463, 52.2154467, 52.2154479, 52.2154486, 52.2154501,
52.2154534, 52.2154529, 52.2154525, 52.2154526, 52.2154532, 52.2154554,
52.2154582, 52.2154611, 52.2154636, 52.2154667, 52.2154699, 52.2154734,
52.2154772, 52.2154806, 52.2154842, 52.2154881, 52.2154918, 52.2154953,
52.2154991, 52.2155027, 52.2155063, 52.215447, 52.2154452, 52.2154437,
52.2154435, 52.2154426, 52.2154423, 52.2154428, 52.2154432, 52.2154441,
52.2154459, 52.2154477, 52.2154496, 52.2154518, 52.2154535, 52.215455,
52.2154571, 52.2154596, 52.215461, 52.2154631, 52.2154652, 52.215467,
52.2154695, 52.2154715, 52.2154732, 52.2154755, 52.215478, 52.2154806,
52.2154835, 52.2154862, 52.2154887, 52.2154922, 52.2154958, 52.2154982,
52.2155023, 52.2155067, 52.2155099, 52.2155135, 52.2155171, 52.21552,
52.215524, 52.2155283, 52.2155312, 52.2155349, 52.2155381, 52.2155413,
52.2155448, 52.2155482, 52.2155526, 52.2155559, 52.2155589, 52.2155617,
52.2150971, 52.2150973, 52.2150976, 52.215098, 52.2150982, 52.2150986,
52.2150988, 52.2150991, 52.2150994, 52.2150996, 52.2151, 52.2151001,
52.2151003, 52.2151005, 52.2151006, 52.2151008, 52.2151009, 52.2151011,
52.2151012, 52.2151013, 52.2151014, 52.2151016, 52.2151017, 52.2151018,
52.215102, 52.2151021, 52.215102, 52.2151022, 52.2151022, 52.2151024,
52.2151024, 52.2151025, 52.2151027, 52.2151029, 52.215103, 52.2151032,
52.2151032, 52.2151035, 52.2151036, 52.2151039, 52.2151041, 52.2151044,
52.2151044, 52.2151046, 52.2151047, 52.2151048, 52.215105, 52.2151051,
52.2151052, 52.2151053, 52.2151054, 52.2150732, 52.2150727, 52.2150725,
52.2150722, 52.2150718, 52.2150713, 52.215071, 52.2150707, 52.2150706,
52.2150704, 52.2150699, 52.2150696, 52.2150692, 52.215069, 52.2150685,
52.2150681, 52.2150677, 52.2150673, 52.2150668, 52.2150665, 52.2150661,
52.215066, 52.2150656, 52.2150655, 52.2150652, 52.2150649, 52.2150645,
52.2150643, 52.2150642, 52.215064, 52.2150642, 52.2150643, 52.2150641,
52.215064, 52.2150637, 52.2150636, 52.2150633, 52.2150632, 52.2150631,
52.215063, 52.2150626, 52.2150624, 52.2150623, 52.2150622, 52.2150619,
52.2150618, 52.2150617, 52.2150615, 52.2150614, 52.2150612, 52.2150611,
52.2150843, 52.2150844, 52.2150842, 52.2150843, 52.2150845, 52.2150846,
52.2150847, 52.2150848, 52.215085, 52.2150852, 52.2150852, 52.2150854,
52.2150853, 52.2150856, 52.2150856, 52.2150856, 52.2150858, 52.2150858,
52.2150861, 52.215086, 52.2150861, 52.2150862, 52.2150864, 52.2150864,
52.2150866, 52.2150867, 52.2150869, 52.2150867, 52.2150867, 52.2150868,
52.2150869, 52.2150869, 52.215087, 52.215087, 52.2150868, 52.2150871,
52.2150868, 52.2150867, 52.2150866, 52.2150867, 52.2150869, 52.2150869,
52.2150868, 52.2150867, 52.2150867, 52.2150866, 52.2150868, 52.215087,
52.2150872, 52.2150876, 52.2150877, 52.2155136, 52.2155108, 52.2155091,
52.2155064, 52.2155039, 52.215502, 52.2154995, 52.2154976, 52.2154959,
52.2154953, 52.2154937, 52.215494, 52.2154932, 52.2154935, 52.2154932,
52.2154937, 52.2154942, 52.2154949, 52.2154939, 52.2154933, 52.2154944,
52.2154967, 52.2154982, 52.2155001, 52.2155016, 52.2155034, 52.215506,
52.2155084, 52.2155102, 52.2155129, 52.215515, 52.2155174, 52.2155199,
52.2155229, 52.2155262, 52.215528, 52.2155306, 52.2155339, 52.2155364,
52.2155398, 52.2155418, 52.2155457, 52.2155494, 52.215553, 52.2155569,
52.215561, 52.2155646, 52.2155686, 52.2155722, 52.2155751, 52.2155788,
52.2151642, 52.2151646, 52.2151649, 52.2151651, 52.2151654, 52.2151658,
52.2151663, 52.2151667, 52.2151669, 52.2151674, 52.2151673, 52.2151678,
52.2151682, 52.2151683, 52.2151687, 52.2151689, 52.2151689, 52.2151691,
52.215169, 52.2151693, 52.2151693, 52.2151696, 52.2151696, 52.2151698,
52.2151698, 52.21517, 52.2151704, 52.215171, 52.2151721, 52.2151729,
52.215175, 52.2151756, 52.2151759, 52.215176, 52.2151758, 52.2151756,
52.2151756, 52.2151755, 52.2151755, 52.2151755, 52.2151754, 52.215175,
52.2151746, 52.2151743, 52.2151741, 52.2151737, 52.2151734, 52.2151734,
52.215173, 52.2151726, 52.2151723), Longitude = c(-2.1630693,
-2.1630689, -2.1630679, -2.1630652, -2.163062, -2.1630594, -2.1630573,
-2.1630544, -2.1630527, -2.1630515, -2.1630485, -2.1630458, -2.1630419,
-2.16304, -2.1630364, -2.1630338, -2.1630308, -2.1630285, -2.163025,
-2.1630217, -2.1630177, -2.1630154, -2.1630117, -2.1630091, -2.1630073,
-2.1630037, -2.1630012, -2.1629983, -2.1629959, -2.1629935, -2.1629922,
-2.162991, -2.1629901, -2.1629885, -2.1629866, -2.1629854, -2.1629854,
-2.1629857, -2.1629864, -2.1629867, -2.1629865, -2.1629862, -2.1629863,
-2.1629864, -2.1629878, -2.162989, -2.1629898, -2.16299, -2.1629899,
-2.1629903, -2.1629902, -2.1628415, -2.1628395, -2.1628373, -2.1628356,
-2.1628332, -2.1628317, -2.1628296, -2.1628279, -2.1628262, -2.1628252,
-2.1628241, -2.1628231, -2.1628227, -2.1628221, -2.1628216, -2.1628215,
-2.1628207, -2.1628206, -2.1628207, -2.1628204, -2.1628205, -2.1628201,
-2.1628199, -2.1628193, -2.1628193, -2.1628194, -2.1628195, -2.1628187,
-2.1628181, -2.1628179, -2.162817, -2.1628155, -2.1628144, -2.1628133,
-2.162813, -2.1628119, -2.1628109, -2.16281, -2.1628091, -2.1628087,
-2.1628082, -2.1628079, -2.1628072, -2.1628072, -2.1628068, -2.1628068,
-2.1628064, -2.1628061, -2.1628058, -2.1628054, -2.1628048, -2.16287,
-2.1628636, -2.1628592, -2.1628561, -2.1628518, -2.1628477, -2.1628454,
-2.1628422, -2.1628394, -2.1628365, -2.1628336, -2.1628294, -2.1628264,
-2.1628279, -2.1628256, -2.1628236, -2.1628234, -2.1628232, -2.1628215,
-2.1628198, -2.1628196, -2.1628191, -2.1628184, -2.1628182, -2.1628178,
-2.1628183, -2.1628183, -2.162817, -2.1628172, -2.1628172, -2.1628173,
-2.1628171, -2.1628172, -2.1628179, -2.1628188, -2.1628195, -2.1628197,
-2.162819, -2.1628176, -2.1628162, -2.1628147, -2.1628138, -2.1628131,
-2.1628128, -2.1628165, -2.1628191, -2.162821, -2.1628237, -2.1628273,
-2.1628292, -2.162833, -2.1628658, -2.1628597, -2.1628531, -2.1628473,
-2.1628414, -2.1628353, -2.1628299, -2.1628251, -2.1628212, -2.1628156,
-2.1628117, -2.1628069, -2.1628026, -2.1627974, -2.1627916, -2.1627899,
-2.1627891, -2.1627877, -2.1627889, -2.1627905, -2.1627915, -2.1627961,
-2.1627986, -2.1627975, -2.1628007, -2.1628006, -2.1628021, -2.1628041,
-2.1628057, -2.1628078, -2.1628058, -2.1628059, -2.162806, -2.1628064,
-2.1628073, -2.1628091, -2.1628094, -2.1628093, -2.1628096, -2.162811,
-2.1628127, -2.1628137, -2.1628134, -2.1628127, -2.1628138, -2.1628141,
-2.1628155, -2.1628153, -2.1628156, -2.162815, -2.1628159, -2.1628006,
-2.1627974, -2.162794, -2.1627912, -2.1627891, -2.1627863, -2.1627837,
-2.1627827, -2.1627815, -2.1627797, -2.1627784, -2.1627777, -2.1627771,
-2.1627768, -2.1627762, -2.1627748, -2.1627733, -2.1627711, -2.162768,
-2.1627659, -2.1627639, -2.1627617, -2.1627596, -2.1627575, -2.1627558,
-2.1627538, -2.1627514, -2.1627509, -2.1627502, -2.16275, -2.1627493,
-2.1627499, -2.1627507, -2.1627507, -2.1627515, -2.1627547, -2.1627576,
-2.1627599, -2.1627621, -2.1627653, -2.162768, -2.1627694, -2.1627719,
-2.1627751, -2.1627777, -2.1627801, -2.1627822, -2.162785, -2.1627865,
-2.1627874, -2.16279, -2.1629321, -2.1629317, -2.1629316, -2.1629316,
-2.1629321, -2.162932, -2.1629321, -2.162932, -2.1629322, -2.1629322,
-2.1629319, -2.1629322, -2.1629327, -2.1629331, -2.1629341, -2.1629347,
-2.1629356, -2.1629358, -2.1629364, -2.1629375, -2.162938, -2.1629388,
-2.1629393, -2.1629399, -2.1629402, -2.1629405, -2.1629415, -2.1629419,
-2.1629423, -2.1629427, -2.1629432, -2.1629435, -2.1629443, -2.1629443,
-2.1629444, -2.1629442, -2.1629446, -2.1629445, -2.1629448, -2.1629448,
-2.1629445, -2.1629445, -2.1629439, -2.1629431, -2.1629425, -2.1629423,
-2.1629417, -2.162941, -2.16294, -2.1629399, -2.1629391, -2.1630911,
-2.1630919, -2.1630923, -2.1630925, -2.1630926, -2.1630929, -2.1630933,
-2.1630938, -2.1630942, -2.1630945, -2.1630948, -2.1630948, -2.1630951,
-2.1630951, -2.1630952, -2.1630954, -2.1630952, -2.1630953, -2.1630955,
-2.1630957, -2.1630954, -2.1630961, -2.1630963, -2.1630968, -2.163097,
-2.1630973, -2.1630978, -2.1630981, -2.1630986, -2.1630991, -2.1630996,
-2.1631007, -2.1631016, -2.1631024, -2.1631032, -2.1631038, -2.1631045,
-2.1631055, -2.1631061, -2.1631068, -2.1631072, -2.1631076, -2.1631085,
-2.1631087, -2.1631095, -2.1631102, -2.1631108, -2.1631114, -2.1631121,
-2.1631125, -2.163113, -2.1630671, -2.1630673, -2.1630675, -2.1630672,
-2.1630666, -2.1630663, -2.163066, -2.1630659, -2.1630656, -2.1630653,
-2.1630651, -2.1630648, -2.163064, -2.1630636, -2.1630631, -2.1630626,
-2.1630622, -2.1630618, -2.1630613, -2.163061, -2.1630606, -2.1630597,
-2.1630588, -2.1630581, -2.1630573, -2.1630565, -2.1630557, -2.1630551,
-2.1630544, -2.1630536, -2.1630527, -2.1630524, -2.1630517, -2.1630511,
-2.1630504, -2.1630499, -2.1630494, -2.1630493, -2.1630486, -2.1630483,
-2.1630476, -2.1630481, -2.1630483, -2.163049, -2.1630491, -2.1630497,
-2.1630496, -2.1630495, -2.1630491, -2.1630488, -2.1630489, -2.1625132,
-2.162511, -2.1625081, -2.1625057, -2.1625026, -2.1625007, -2.1624985,
-2.1624971, -2.1624947, -2.1624934, -2.1624904, -2.1624893, -2.1624888,
-2.1624883, -2.1624877, -2.1624862, -2.1624849, -2.1624835, -2.1624828,
-2.162483, -2.1624815, -2.162479, -2.1624779, -2.1624784, -2.1624775,
-2.1624762, -2.1624754, -2.162474, -2.1624738, -2.162473, -2.1624722,
-2.1624714, -2.1624704, -2.1624697, -2.1624706, -2.1624706, -2.1624712,
-2.1624725, -2.1624722, -2.1624735, -2.1624733, -2.1624754, -2.1624774,
-2.1624792, -2.1624805, -2.1624826, -2.162482, -2.1624841, -2.1624873,
-2.1624901, -2.1624932, -2.1628316, -2.1628348, -2.1628373, -2.1628392,
-2.162841, -2.1628439, -2.1628474, -2.1628505, -2.1628528, -2.1628545,
-2.1628565, -2.1628608, -2.1628654, -2.1628682, -2.1628721, -2.1628755,
-2.1628765, -2.1628779, -2.1628785, -2.1628795, -2.1628804, -2.162884,
-2.1628873, -2.1628901, -2.1628931, -2.1628961, -2.1629013, -2.1629059,
-2.1629136, -2.1629192, -2.1629296, -2.1629335, -2.1629354, -2.1629362,
-2.1629373, -2.162939, -2.1629403, -2.1629415, -2.1629436, -2.1629437,
-2.1629445, -2.1629448, -2.1629444, -2.1629447, -2.1629436, -2.1629434,
-2.1629439, -2.1629447, -2.1629449, -2.1629448, -2.1629444),
Name = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L), .Label = c("Player One", "Player Two", "Player Three",
"Player Four", "Player Five", "Player Six", "Player Seven",
"Player Eight", "Player Nine", "Player Ten"), class = "factor")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -510L))
Хотя есть и другие шаги, которые я хотел бы предпринять для улучшения конечных результатов (взвешивание эта ссылка является примером того, что я хотел бы сделать
У кого-нибудь есть ссылки / руководства по созданию воронуа такого типа?
Обновление *
Сегодня я потратил больше времени на то, чтобы составить сюжет со следующим, и я смог произвести рисунок ниже.Используя deldir, я создаю отдельные воронои для каждого момента времени в наборе данных.Затем с помощью вложенных циклов for извлекают их во фрейм данных, в котором есть все данные voronoi
library(tidy verse)
library(deldir)
library(gganimate)
df_list2 <- split(df_2, df_2$time)
del_list <- lapply(df_list2, function(x){deldir(x$Longitude, x$Latitude, z=x$Name)})
a <- list()
b <- list()
for(i in 1:length(del_list)){
del_df <- del_list[[i]]
tile_list <- tile.list(del_df)
for(z in 1:length(tile_list)){
x <- tile_list[[z]]$x
y <- tile_list[[z]]$y
df1 <- data.frame(x,y)
a[[z]] <- df1
df <- bind_rows(a, .id='id')
}
b[[i]] <- df
plot_df <- bind_rows(b, .id='id2')
}
p <- plot_df %>%
ggplot(aes(x,y, fill=id)) +
geom_polygon(alpha=0.3) +
transition_states(id2) +
ease_aes('linear')
anim_save("test.gif", p, width = 400, height = 400, fps = 10)
У него действительно есть некоторые проблемы с качеством данных, поэтому переходы не очень плавные, но я могу их очистить
