修复在R中使用ggplot2绘制gpx文件时出现的错误
复仇密封
我正在尝试使用ggplot2创建一个显示一系列gpx文件的地图。大多数gpx文件都可以使用，但是其中一些会抛出一些错误，其中绘制的是实心形状而不是线条。我在下面提供了一个这样的例子。基数R中的图显示了结果应为什么样。
我不完全确定ggplot2错误的根源是什么，任何想法都将不胜感激。
可以下载下面使用的gpx文件（从Strava）[此处]（显示错误的极端版本的数据框的子集）粘贴到1以下。
我使用的代码是：
library(rgdal)
library(raster)
library(dplyr)
library(ggplot2)
gpxFile <- "file.gpx"
gpxRoute <- readOGR(dsn = gpxFile, layer = "tracks")
## PLOT USING BASE R
base_plot <- plot(gpxRoute)
## PLOT USING GGPLOT2
gg_plot <- gpxRoute %>%
fortify() %>%
ggplot() +
geom_line(aes(x = long, y = lat, group = group, colour = "red"))
gg_plot
基本R结果
ggplot结果
long lat order piece id group
-83.709161 22.619206 1 1 0 0.1
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-83.708963 22.61954 8 1 0 0.1
-83.708892 22.619578 9 1 0 0.1
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-83.763789 22.605946 431 1 0 0.1
-83.763816 22.6059 432 1 0 0.1
-83.76387 22.605841 433 1 0 0.1
-83.763963 22.605802 434 1 0 0.1
-83.76408 22.605761 435 1 0 0.1
-83.764208 22.605707 436 1 0 0.1
-83.764354 22.605645 437 1 0 0.1
-83.764435 22.605615 438 1 0 0.1
-83.764516 22.605583 439 1 0 0.1
-83.764683 22.605511 440 1 0 0.1
-83.76486 22.605437 441 1 0 0.1
-83.76495 22.605398 442 1 0 0.1
-83.765132 22.605321 443 1 0 0.1
-83.765494 22.605167 444 1 0 0.1
-83.765757 22.605058 445 1 0 0.1
-83.766234 22.604865 446 1 0 0.1
-83.7667 22.604651 447 1 0 0.1
-83.767082 22.604473 448 1 0 0.1
-83.767549 22.604282 449 1 0 0.1
-83.768037 22.604074 450 1 0 0.1
-83.768537 22.603843 451 1 0 0.1
-83.768821 22.603729 452 1 0 0.1
-83.768912 22.603689 453 1 0 0.1
-83.769131 22.603589 454 1 0 0.1
-83.769327 22.603497 455 1 0 0.1
-83.7694 22.603468 456 1 0 0.1
-83.76957 22.60339 457 1 0 0.1
-83.769603 22.603375 458 1 0 0.1
-83.769815 22.603269 459 1 0 0.1
-83.770022 22.603151 460 1 0 0.1
-83.770235 22.603008 461 1 0 0.1
-83.77026 22.602989 462 1 0 0.1
-83.770488 22.602784 463 1 0 0.1
-83.770537 22.602734 464 1 0 0.1
-83.770747 22.602537 465 1 0 0.1
-83.770822 22.602467 466 1 0 0.1
-83.770976 22.602329 467 1 0 0.1
-83.771139 22.602162 468 1 0 0.1
-83.771165 22.602138 469 1 0 0.1
-83.771425 22.601891 470 1 0 0.1
-83.771505 22.601815 471 1 0 0.1
-83.77179 22.601536 472 1 0 0.1
-83.771817 22.601511 473 1 0 0.1
-83.772057 22.60128 474 1 0 0.1
-83.772361 22.601011 475 1 0 0.1
-83.772416 22.600964 476 1 0 0.1
-83.772647 22.600784 477 1 0 0.1
-83.772706 22.60074 478 1 0 0.1
-83.772913 22.600601 479 1 0 0.1
-83.773004 22.600549 480 1 0 0.1
-83.773119 22.600475 481 1 0 0.1
-83.773224 22.600406 482 1 0 0.1
-83.773249 22.600386 483 1 0 0.1
-83.773415 22.600273 484 1 0 0.1
-83.773438 22.600258 485 1 0 0.1
-83.773558 22.600186 486 1 0 0.1
-83.773634 22.600141 487 1 0 0.1
-83.773756 22.600066 488 1 0 0.1
-83.773898 22.599973 489 1 0 0.1
-83.773923 22.599957 490 1 0 0.1
-83.77404 22.599877 491 1 0 0.1
-83.774134 22.599819 492 1 0 0.1
-83.774176 22.599785 493 1 0 0.1
-83.77432 22.599693 494 1 0 0.1
-83.774527 22.599564 495 1 0 0.1
-83.774616 22.599505 496 1 0 0.1
-83.774681 22.599458 497 1 0 0.1
-83.774819 22.599363 498 1 0 0.1
-83.774841 22.599348 499 1 0 0.1
-83.77497 22.599255 500 1 0 0.1
爵士乐
这是一个解决方案。您最终看到ggplot图形的原因是您使用过geom_line()。geom_line（）以变量在x轴上的顺序连接数据点。您看到多边形的原因是，沿x轴有很多垂直线向上和向下移动，我们认为该区域已填充。
# geom_line() connects them in order of the variable on the x axis.
# I called your subsetted data mydata.
ggplot() +
geom_line(data = mydata, aes(x = long, y = lat, group = group), colour = "red")
现在，我使用geom_path()并查看路线。还有一件事。在这种情况下，您想拥有color外部空间aes()。
ggplot() +
geom_path(data = mydata, aes(x = long, y = lat, group = group), colour = "red")
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