频率值作为颜色变量的热图
Heatmaps with frequency values as color var
我需要 heatmaps 方面的帮助，我是初学者，在使用频率图时通常会遇到问题。
我需要创建一个热图，其中 date 在 x 轴上，crepus 在 y 轴上。没关系。
我想要的颜色的变量是所有物种的频率（speciesname），这将是变量[=的所有物种的总和17=]，显然是 date 和 crepus 值。
尝试时，我得到一个完全空白的热图，尽管比例看起来不错：
our_data %>%
ggplot(aes(date,crepus,fill=nmb_individuals)) + geom_tile()
在这里找到我的数据集的一小部分：
our_data <- structure(list(speciesname = c("Wood Lark", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "bunting sp.",
"Robin", "Blackbird", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Chaffinch", "Chaffinch",
"Chaffinch", "Chaffinch", "Cirl Bunting", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Chaffinch",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Blackbird", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Redwing", "Redwing", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Raven", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Skylark", "Blackbird", "Blackbird", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Chaffinch", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Blackbird", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Blackbird", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Redwing", "Chaffinch", "Song Thrush",
"Dunnock", "Dunnock", "Dunnock", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Dunnock", "Song Thrush",
"Song Thrush", "Song Thrush", "Chaffinch", "Blackbird", "Song Thrush",
"Redwing", "Song Thrush", "Song Thrush", "Song Thrush", "Skylark",
"Skylark", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Chaffinch", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Blackbird", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Blackbird", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Dunnock", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Redwing", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing"), date = structure(c(18556, 18556, 18556,
18556, 18557, 18557, 18557, 18557, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18558, 18558, 18558, 18558, 18558, 18558,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18560, 18560, 18560,
18560, 18560, 18560, 18560, 18562, 18562, 18562, 18562, 18562,
18562, 18562, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18559, 18559,
18559, 18559, 18559, 18559, 18558, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18558, 18558, 18558, 18558, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18561, 18561, 18561,
18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561,
18561, 18561, 18561, 18562, 18562, 18562, 18562, 18562, 18562,
18562, 18562, 18562, 18562, 18562, 18562, 18562, 18562, 18562,
18562, 18562, 18563, 18563, 18564, 18564, 18564, 18564, 18564,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564,
18564, 18564, 18564, 18564, 18564, 18564, 18556, 18558, 18558,
18558, 18558, 18558, 18558, 18558, 18558, 18559, 18559, 18559,
18559, 18559, 18562, 18562, 18562, 18563, 18563, 18563, 18564,
18564, 18564, 18564, 18564, 18557, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18559, 18559, 18559, 18559, 18559, 18560,
18560, 18560, 18560, 18561, 18561, 18561, 18561, 18562, 18562,
18562, 18562, 18562, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18563, 18564, 18564, 18564, 18556, 18556, 18556, 18556,
18557, 18558, 18558, 18558, 18558, 18558, 18558, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18560, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18561, 18561, 18561,
18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561,
18561, 18561, 18561, 18562, 18562, 18562, 18562, 18562, 18562,
18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564
), class = "Date"), nmb_individuals = c(1L, 1L, 1L, 1L, 2L, 0L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 5L, 3L, 10L, 1L, 2L, 1L,
1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 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, 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, 5L, 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, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 0L, 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, 3L, 1L, 1L, 1L, 5L, 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, 3L, 1L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 5L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L,
1L, 2L, 2L, 9L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 1L, 1L,
1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 1L, 10L,
1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L), crepus = c(0.974008207934337, 0.606019151846785,
0.993160054719562, 0.997264021887825, 0.987738419618529, 0.990463215258856,
0.991825613079019, 0.997275204359673, 0.99320652173913, 0.998641304347826,
0.99320652173913, 0.99320652173913, 0.994565217391304, 0.995923913043478,
0.997282608695652, 0.998641304347826, 0.989130434782609, 0.990489130434783,
0.994565217391304, 0.995923913043478, 0.99320652173913, 0.144458281444583,
0.175591531755915, 0.196762141967621, 0.198007471980075, 0.206724782067248,
0.209215442092154, 0.231631382316314, 0.239103362391034, 0.2640099626401,
0.273972602739726, 0.278953922789539, 0.288916562889166, 0.311332503113325,
0.328767123287671, 0.342465753424658, 0.36239103362391, 0.371108343711083,
0.378580323785803, 0.379825653798257, 0.386052303860523, 0.387297633872976,
0.398505603985056, 0.396014943960149, 0.407222914072229, 0.409713574097136,
0.413449564134496, 0.414694894146949, 0.205479452054795, 0.422166874221669,
0.419676214196762, 0.424657534246575, 0.427148194271482, 0.432129514321295,
0.433374844333749, 0.434620174346202, 0.442092154420922, 0.443337484433375,
0.452054794520548, 0.455790784557908, 0.463262764632628, 0.468244084682441,
0.470734744707347, 0.474470734744707, 0.481942714819427, 0.485678704856787,
0.489414694894147, 0.493150684931507, 0.420921544209215, 0.499377334993773,
0.520547945205479, 0.980074719800747, 0.457036114570361, 0.0844504021447721,
0.100536193029491, 0, 0.00536193029490617, 0.193029490616622,
0.24798927613941, 0.319034852546917, 0.420911528150134, 0.953083109919571,
0.978552278820375, 0.978552278820375, 0.981233243967828, 0.986595174262735,
0.987935656836461, 0.997319034852547, 0.127005347593583, 0.0922459893048128,
0.729946524064171, 0.556149732620321, 0.967914438502674, 0.983957219251337,
0.99331550802139, 0.98936170212766, 0.279255319148936, 0.333776595744681,
0.337765957446809, 0.396276595744681, 0.454787234042553, 0.51063829787234,
0.57313829787234, 0.651595744680851, 0.69813829787234, 0.933510638297872,
0.977393617021277, 0.982712765957447, 0.986702127659575, 0.00265957446808511,
0.320478723404255, 0.337765957446809, 0.202917771883289, 0.364721485411141,
0.36604774535809, 0.482758620689655, 0.485411140583555, 0.493368700265252,
0.502652519893899, 0.510610079575597, 0.523872679045093, 0.555702917771883,
0.653846153846154, 0.693633952254642, 0.805039787798409, 0.992042440318302,
0.00397877984084881, 0.771929824561403, 0.883940620782726, 0.885290148448043,
0.892037786774629, 0.902834008097166, 0.906882591093117, 0.815718157181572,
0.990514905149051, 0.991869918699187, 0.989159891598916, 0.0542005420054201,
0.838753387533875, 0.888888888888889, 0.894308943089431, 0.897018970189702,
0.905149051490515, 0.993224932249322, 0.990514905149051, 0.348586810228802,
0.363391655450875, 0.10228802153432, 0.422611036339166, 0.374158815612382,
0.386271870794078, 0.390309555854643, 0.426648721399731, 0.994638069705094,
0.894101876675603, 0.978552278820375, 0.207774798927614, 0.946380697050938,
0, 0.0134048257372654, 0.0790884718498659, 0.301608579088472,
0.592493297587131, 0.983914209115281, 0.985254691689008, 0.987935656836461,
0.989276139410188, 0.994638069705094, 0.990641711229946, 0.358288770053476,
0.364973262032086, 0.43716577540107, 0.46524064171123, 0.479946524064171,
0.487967914438503, 0.540106951871658, 0.574866310160428, 0.596256684491979,
0.606951871657754, 0.64572192513369, 0.885026737967914, 0.927807486631016,
0.957219251336898, 0.962566844919786, 0.977272727272727, 0.0944148936170213,
0.622340425531915, 0.0013262599469496, 0.00663129973474801, 0.431034482758621,
0.513262599469496, 0.53183023872679, 0.586206896551724, 0.588859416445623,
0.590185676392573, 0.610079575596817, 0.690981432360743, 0.714854111405836,
0.814323607427056, 0.872679045092838, 0.973474801061008, 0.990716180371353,
0.993368700265252, 0.996021220159151, 0.625994694960212, 0.880636604774536,
0.993368700265252, 0.998635743519782, 0.901084010840108, 0.915989159891599,
0.91869918699187, 0.575880758807588, 0.739837398373984, 0.761517615176152,
0.897018970189702, 0.913279132791328, 0.906882591093117, 0.804318488529015,
0.850202429149798, 0.910931174089069, 0.919028340080972, 0.989304812834225,
0.994652406417112, 0.994652406417112, 0.216755319148936, 0.264627659574468,
0.832446808510638, 0.590185676392573, 0.704244031830239, 0.720159151193634,
0.976127320954907, 0.981432360742706, 0.995918367346939, 0.159891598915989,
0.474254742547425, 0.982384823848238, 0.986449864498645, 0.997289972899729,
0.998644986449864, 0.998644986449864, 0.908232118758435, 0.909581646423752,
0.913630229419703, 0.916329284750337, 0.910931174089069, 0.109017496635262,
0.131897711978466, 0.995962314939435, 0.34185733512786, 0.998659517426273,
0.39142091152815, 0.977211796246649, 0.991957104557641, 0.983957219251337,
0.982620320855615, 0.987967914438503, 0.990641711229946, 0.970588235294118,
0.190159574468085, 0.202127659574468, 0.280585106382979, 0.359042553191489,
0.410904255319149, 0.69281914893617, 0.784574468085106, 0.992021276595745,
0.981432360742706, 0.986737400530504, 0.986737400530504, 0.980900409276944,
0.982264665757162, 0.987721691678035, 0.993178717598909, 0.99047619047619,
0.975609756097561, 0.98780487804878, 0.00948509485094851, 0.848238482384824,
0.952574525745257, 0.967479674796748, 0.913630229419703, 0.916329284750337,
0.52361673414305, 0.596491228070176, 0.631578947368421, 0.62753036437247,
0.658569500674764, 0.890688259109312, 0.878542510121457, 0.87719298245614,
0.870445344129555, 0.851551956815115, 0.816464237516869, 0.977058029689609,
0.98110661268556, 0.902834008097166, 0.913630229419703, 0.0969044414535666,
0.395693135935397, 0.707940780619112, 0.95693135935397, 0.969044414535666,
0.983849259757739, 0.986541049798116, 0.991924629878869, 0.995962314939435,
0.0804289544235925, 0.414209115281501, 0.481233243967828, 0.509383378016086,
0.560321715817694, 0.60053619302949, 0.719839142091153, 0.966487935656837,
0.975871313672922, 0.978552278820375, 0.981233243967828, 0.986595174262735,
0.989276139410188, 0.990616621983914, 0.99597855227882, 0.0053475935828877,
0.977272727272727, 0.982620320855615, 0.983957219251337, 0.99331550802139,
0.997326203208556, 0.155585106382979, 0.38563829787234, 0.646276595744681,
0.924202127659575, 0.941489361702128, 0.974734042553192, 0.981382978723404,
0.997340425531915, 0.518617021276596, 0.570291777188329, 0.749336870026525,
0.904509283819629, 0.956233421750663, 0.960212201591512, 0.96551724137931,
0.970822281167109, 0.985411140583554, 0.53448275862069)), row.names = c(NA,
-345L), class = c("tbl_df", "tbl", "data.frame"))
可能是这种：
our_data %>%
ggplot(aes(date,crepus)) +
geom_tile(aes(fill= factor(nmb_individuals)), height = 0.1)
或没有因素：
our_data %>%
ggplot(aes(date,crepus)) +
geom_tile(aes(fill= nmb_individuals), height = 0.1)
我需要 heatmaps 方面的帮助，我是初学者，在使用频率图时通常会遇到问题。
我需要创建一个热图，其中 date 在 x 轴上，crepus 在 y 轴上。没关系。
我想要的颜色的变量是所有物种的频率（speciesname），这将是变量[=的所有物种的总和17=]，显然是 date 和 crepus 值。
尝试时，我得到一个完全空白的热图，尽管比例看起来不错：
our_data %>%
ggplot(aes(date,crepus,fill=nmb_individuals)) + geom_tile()
在这里找到我的数据集的一小部分：
our_data <- structure(list(speciesname = c("Wood Lark", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "bunting sp.",
"Robin", "Blackbird", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Chaffinch", "Chaffinch",
"Chaffinch", "Chaffinch", "Cirl Bunting", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Chaffinch",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Blackbird", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Redwing", "Redwing", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Raven", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Skylark", "Blackbird", "Blackbird", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Chaffinch", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Blackbird", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Blackbird", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Redwing", "Chaffinch", "Song Thrush",
"Dunnock", "Dunnock", "Dunnock", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Dunnock", "Song Thrush",
"Song Thrush", "Song Thrush", "Chaffinch", "Blackbird", "Song Thrush",
"Redwing", "Song Thrush", "Song Thrush", "Song Thrush", "Skylark",
"Skylark", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Chaffinch", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Blackbird", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Redwing",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Blackbird", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Dunnock", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Redwing", "Song Thrush", "Song Thrush",
"Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush", "Song Thrush",
"Song Thrush", "Redwing"), date = structure(c(18556, 18556, 18556,
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18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
18559, 18559, 18559, 18559, 18559, 18559, 18559, 18560, 18560,
18560, 18560, 18560, 18560, 18560, 18560, 18560, 18560, 18560,
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18559, 18559, 18562, 18562, 18562, 18563, 18563, 18563, 18564,
18564, 18564, 18564, 18564, 18557, 18558, 18558, 18558, 18558,
18558, 18558, 18558, 18559, 18559, 18559, 18559, 18559, 18560,
18560, 18560, 18560, 18561, 18561, 18561, 18561, 18562, 18562,
18562, 18562, 18562, 18563, 18563, 18563, 18563, 18563, 18563,
18563, 18563, 18564, 18564, 18564, 18556, 18556, 18556, 18556,
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18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559, 18559,
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18560, 18560, 18560, 18560, 18560, 18560, 18561, 18561, 18561,
18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561, 18561,
18561, 18561, 18561, 18562, 18562, 18562, 18562, 18562, 18562,
18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563, 18563,
18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564, 18564
), class = "Date"), nmb_individuals = c(1L, 1L, 1L, 1L, 2L, 0L,
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0.997326203208556, 0.155585106382979, 0.38563829787234, 0.646276595744681,
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0.997340425531915, 0.518617021276596, 0.570291777188329, 0.749336870026525,
0.904509283819629, 0.956233421750663, 0.960212201591512, 0.96551724137931,
0.970822281167109, 0.985411140583554, 0.53448275862069)), row.names = c(NA,
-345L), class = c("tbl_df", "tbl", "data.frame"))
可能是这种：
our_data %>%
ggplot(aes(date,crepus)) +
geom_tile(aes(fill= factor(nmb_individuals)), height = 0.1)
或没有因素：
our_data %>%
ggplot(aes(date,crepus)) +
geom_tile(aes(fill= nmb_individuals), height = 0.1)