我想创建一个欧洲的等值线，为每个分类变量分配一个颜色。为此，我使用了Eurostat提供的多边形shapefile。代码如下，EU_spat是多边形shapefile。
EU_data = fortify(EU_spat, region = "NUTS_ID")
EU_clusters = merge(EU_data, cluster_data1, by.x = "id", by.y = "GEO")
ggplot(EU_clusters)+
theme_minimal()+
geom_polygon(aes(x = long, y = lat, group=group, fill=clusters), color = "grey") +
scale_x_continuous(limits = c(-30, 50)) +
scale_y_continuous(limits = c(25, 75)) +
scale_fill_manual("", values = c("outlier" = "grey", "positive" = "red", "negative" = "blue"))
然而，在运行此代码时，一些白色表面（孔）看起来与下面链接提供的荷兰图相当。
https://i2.wp.com/rmhogervorst.nl/cleancode/images/figures/unnamed-chunk-5-1.png?zoom=1.5&w=456
我尝试使用coord_map（）和coord_fixed（），但白洞并没有消失。
有谁知道如何解决这个问题？
*修改
clusterdata具有以下形式。 （因为它是一个大数据帧，我不能提供整个数据帧）
id long lat order hole piece group clusters
1 AT11 16.73979750 47.695251 57 FALSE 1 AT11.1 negative
2 AT11 16.74850650 47.682202 56 FALSE 1 AT11.1 negative
3 AT11 16.65601900 47.741655 61 FALSE 1 AT11.1 negative
4 AT11 16.72151400 47.722600 58 FALSE 1 AT11.1 negative
5 AT11 16.72094200 47.735335 59 FALSE 1 AT11.1 negative
6 AT11 16.66996350 47.740776 60 FALSE 1 AT11.1 negative
7 AT11 16.85552100 47.711065 52 FALSE 1 AT11.1 negative
8 AT11 16.83906450 47.704570 53 FALSE 1 AT11.1 negative
9 AT11 16.82833250 47.682722 54 FALSE 1 AT11.1 negative
10 AT11 16.74903100 47.681416 55 FALSE 1 AT11.1 negative
11 AT11 16.59094950 47.757962 69 FALSE 1 AT11.1 negative
12 AT11 16.56646150 47.751578 70 FALSE 1 AT11.1 negative
13 AT11 16.54797900 47.751539 71 FALSE 1 AT11.1 negative
14 AT11 16.54596250 47.749317 72 FALSE 1 AT11.1 negative
15 AT11 16.54878500 47.743171 73 FALSE 1 AT11.1 negative
16 AT11 16.54272300 47.742346 74 FALSE 1 AT11.1 negative
17 AT11 16.63971750 47.748269 62 FALSE 1 AT11.1 negative
18 AT11 16.63836950 47.754549 63 FALSE 1 AT11.1 negative
19 AT11 16.63426350 47.759053 64 FALSE 1 AT11.1 negative
20 AT11 16.62213200 47.757241 65 FALSE 1 AT11.1 negative
21 AT11 16.61228950 47.760227 66 FALSE 1 AT11.1 negative
22 AT11 16.59877350 47.756120 67 FALSE 1 AT11.1 negative
23 AT11 16.59410650 47.758576 68 FALSE 1 AT11.1 negative
24 AT11 17.07455750 48.085921 1 FALSE 1 AT11.1 negative
25 AT11 17.07155200 48.080931 2 FALSE 1 AT11.1 negative
26 AT11 17.07222950 48.070456 3 FALSE 1 AT11.1 negative
27 AT11 17.08678800 48.065366 4 FALSE 1 AT11.1 negative
28 AT11 17.07016200 48.057012 5 FALSE 1 AT11.1 negative
29 AT11 17.06824150 48.055402 6 FALSE 1 AT11.1 negative
30 AT11 17.08426600 48.050392 7 FALSE 1 AT11.1 negative
31 AT11 17.08778650 48.045685 8 FALSE 1 AT11.1 negative
32 AT11 17.06741450 48.031438 9 FALSE 1 AT11.1 negative
33 AT11 17.07562600 48.027550 10 FALSE 1 AT11.1 negative
34 AT11 17.08985750 48.019793 11 FALSE 1 AT11.1 negative
35 AT11 17.11005350 48.031233 12 FALSE 1 AT11.1 negative
36 AT11 17.11500800 48.029624 13 FALSE 1 AT11.1 negative
37 AT11 17.12672300 48.020936 14 FALSE 1 AT11.1 negative
38 AT11 17.13637350 48.022920 15 FALSE 1 AT11.1 negative
39 AT11 17.14384350 48.020188 16 FALSE 1 AT11.1 negative
40 AT11 17.16079750 48.006656 17 FALSE 1 AT11.1 negative
41 AT11 17.09466150 47.970872 18 FALSE 1 AT11.1 negative
42 AT11 17.11689000 47.960952 19 FALSE 1 AT11.1 negative
43 AT11 17.09090550 47.934385 20 FALSE 1 AT11.1 negative
44 AT11 17.11269000 47.927351 21 FALSE 1 AT11.1 negative
45 AT11 17.10274700 47.910455 22 FALSE 1 AT11.1 negative
46 AT11 17.10417150 47.899251 23 FALSE 1 AT11.1 negative
47 AT11 17.08518750 47.874437 24 FALSE 1 AT11.1 negative
48 AT11 17.07779950 47.877547 25 FALSE 1 AT11.1 negative
49 AT11 17.06270200 47.873711 26 FALSE 1 AT11.1 negative
50 AT11 17.04870850 47.871899 27 FALSE 1 AT11.1 negative
51 AT11 17.04959850 47.870060 28 FALSE 1 AT11.1 negative
52 AT11 17.04004300 47.866809 29 FALSE 1 AT11.1 negative
53 AT11 17.01775450 47.868397 30 FALSE 1 AT11.1 negative
54 AT11 17.00994950 47.858344 31 FALSE 1 AT11.1 negative
55 AT11 17.05154300 47.837894 32 FALSE 1 AT11.1 negative
56 AT11 17.04972300 47.831216 33 FALSE 1 AT11.1 negative
57 AT11 17.04691350 47.828352 34 FALSE 1 AT11.1 negative
58 AT11 17.05973250 47.820152 35 FALSE 1 AT11.1 negative
59 AT11 17.07445350 47.808256 36 FALSE 1 AT11.1 negative
60 AT11 17.05096200 47.793974 37 FALSE 1 AT11.1 negative
61 AT11 17.05819600 47.786153 38 FALSE 1 AT11.1 negative
62 AT11 17.06379550 47.777811 39 FALSE 1 AT11.1 negative
63 AT11 17.06699100 47.767498 40 FALSE 1 AT11.1 negative
64 AT11 17.07076450 47.749943 41 FALSE 1 AT11.1 negative
65 AT11 17.07027050 47.728197 42 FALSE 1 AT11.1 negative
66 AT11 17.09307400 47.708236 43 FALSE 1 AT11.1 negative
67 AT11 17.07126650 47.706652 44 FALSE 1 AT11.1 negative
68 AT11 17.04014150 47.704324 45 FALSE 1 AT11.1 negative
69 AT11 17.00113600 47.698292 46 FALSE 1 AT11.1 negative
70 AT11 16.95933000 47.692710 47 FALSE 1 AT11.1 negative
71 AT11 16.91254100 47.687677 48 FALSE 1 AT11.1 negative
72 AT11 16.87163500 47.690096 49 FALSE 1 AT11.1 negative
73 AT11 16.86882350 47.721336 50 FALSE 1 AT11.1 negative
74 AT11 16.86690400 47.721643 51 FALSE 1 AT11.1 negative
75 AT11 16.11285250 46.979489 294 FALSE 1 AT11.1 negative
76 AT11 16.12171950 46.990667 295 FALSE 1 AT11.1 negative
77 AT11 16.13640500 46.994648 296 FALSE 1 AT11.1 negative
78 AT11 16.15452950 46.990814 297 FALSE 1 AT11.1 negative
79 AT11 16.14559950 46.999800 298 FALSE 1 AT11.1 negative
80 AT11 16.13702650 47.006940 299 FALSE 1 AT11.1 negative
81 AT11 16.14011250 47.009082 300 FALSE 1 AT11.1 negative
82 AT11 16.13072750 47.012126 301 FALSE 1 AT11.1 negative
83 AT11 16.12829178 47.014944 302 FALSE 1 AT11.1 negative
84 AT11 16.12601024 47.017584 303 FALSE 1 AT11.1 negative
85 AT11 16.12497610 47.018780 304 FALSE 1 AT11.1 negative
86 AT11 16.12476150 47.018896 305 FALSE 1 AT11.1 negative
87 AT11 16.12473568 47.019059 306 FALSE 1 AT11.1 negative
88 AT11 16.12462238 47.019190 307 FALSE 1 AT11.1 negative
89 AT11 16.11657800 47.028499 308 FALSE 1 AT11.1 negative
90 AT11 16.11445242 47.031751 309 FALSE 1 AT11.1 negative
91 AT11 16.11438000 47.035281 310 FALSE 1 AT11.1 negative
92 AT11 16.12108650 47.041856 311 FALSE 1 AT11.1 negative
93 AT11 16.12107800 47.044727 312 FALSE 1 AT11.1 negative
94 AT11 16.11124300 47.048803 313 FALSE 1 AT11.1 negative
95 AT11 16.10467750 47.060757 314 FALSE 1 AT11.1 negative
96 AT11 16.09686000 47.058988 315 FALSE 1 AT11.1 negative
97 AT11 16.09836300 47.061067 316 FALSE 1 AT11.1 negative
98 AT11 16.08862900 47.072079 317 FALSE 1 AT11.1 negative
99 AT11 16.08650800 47.074209 318 FALSE 1 AT11.1 negative
100 AT11 16.09028900 47.082312 319 FALSE 1 AT11.1 negative
101 AT11 16.08657950 47.087840 320 FALSE 1 AT11.1 negative
102 AT11 16.09200450 47.090646 321 FALSE 1 AT11.1 negative
103 AT11 16.09143900 47.101678 322 FALSE 1 AT11.1 negative
104 AT11 16.09357750 47.108916 323 FALSE 1 AT11.1 negative
105 AT11 16.09479350 47.112201 324 FALSE 1 AT11.1 negative
106 AT11 16.10395650 47.114059 325 FALSE 1 AT11.1 negative
107 AT11 16.10909550 47.126886 326 FALSE 1 AT11.1 negative
108 AT11 16.11502500 47.133192 327 FALSE 1 AT11.1 negative
109 AT11 16.11245850 47.141044 328 FALSE 1 AT11.1 negative
110 AT11 16.11688450 47.143933 329 FALSE 1 AT11.1 negative
111 AT11 16.11346300 47.161839 330 FALSE 1 AT11.1 negative
112 AT11 16.10915050 47.166379 331 FALSE 1 AT11.1 negative
113 AT11 16.10928650 47.166786 332 FALSE 1 AT11.1 negative
114 AT11 16.10258100 47.183651 333 FALSE 1 AT11.1 negative
115 AT11 16.09463600 47.197177 334 FALSE 1 AT11.1 negative
116 AT11 16.09149700 47.198464 335 FALSE 1 AT11.1 negative
117 AT11 16.09280150 47.199911 336 FALSE 1 AT11.1 negative
118 AT11 16.09098850 47.209185 337 FALSE 1 AT11.1 negative
119 AT11 16.08558550 47.211223 338 FALSE 1 AT11.1 negative
120 AT11 16.08241200 47.226759 339 FALSE 1 AT11.1 negative
121 AT11 16.08475850 47.231954 340 FALSE 1 AT11.1 negative
122 AT11 16.08652150 47.233542 341 FALSE 1 AT11.1 negative
123 AT11 16.08445550 47.235413 342 FALSE 1 AT11.1 negative
124 AT11 16.08483000 47.247203 343 FALSE 1 AT11.1 negative
125 AT11 16.07758450 47.272128 344 FALSE 1 AT11.1 negative
[ reached getOption("max.print") -- omitted 290284 rows ]