修复了在R
我尝试使用ggplot2创建一个显示一系列gpx文件的地图。大多数gpx文件都可以处理，但是其中一些文件会产生一些错误，其中绘制的是固体形状而不是线条。我在下面列举了一个这样的例子。基数R中的图显示了结果应该是什么样子。
我不完全确定ggplot2错误的来源是什么，任何想法都会非常感激。
下面使用的gpx文件可以下载（来自Strava）[这里]（显示错误的极端版本的数据框的子集）粘贴在1下面。
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
基础R结果
ggplot结果
long lat order piece id group
-83.709161 22.619206 1 1 0 0.1
-83.709266 22.619215 2 1 0 0.1
-83.709306 22.619246 3 1 0 0.1
-83.709326 22.619332 4 1 0 0.1
-83.70931 22.619351 5 1 0 0.1
-83.70928 22.619368 6 1 0 0.1
-83.709187 22.619423 7 1 0 0.1
-83.708963 22.61954 8 1 0 0.1
-83.708892 22.619578 9 1 0 0.1
-83.708747 22.619654 10 1 0 0.1
-83.70867 22.619691 11 1 0 0.1
-83.708626 22.619716 12 1 0 0.1
-83.70854 22.619751 13 1 0 0.1
-83.708441 22.619753 14 1 0 0.1
-83.708397 22.619734 15 1 0 0.1
-83.708322 22.619675 16 1 0 0.1
-83.708291 22.619636 17 1 0 0.1
-83.708225 22.619523 18 1 0 0.1
-83.707969 22.619138 19 1 0 0.1
-83.707798 22.618925 20 1 0 0.1
-83.707712 22.618808 21 1 0 0.1
-83.707538 22.618596 22 1 0 0.1
-83.707271 22.618281 23 1 0 0.1
-83.707116 22.618113 24 1 0 0.1
-83.70708 22.618067 25 1 0 0.1
-83.706976 22.617948 26 1 0 0.1
-83.706939 22.617891 27 1 0 0.1
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-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
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-83.770235 22.603008 461 1 0 0.1
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-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
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-83.771139 22.602162 468 1 0 0.1
-83.771165 22.602138 469 1 0 0.1
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-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
1 个答案:
答案 0 :(得分：1)
这是一个解决方案。您最终看到ggplot图形的原因是您使用了geom_line()。 geom_line（）按x轴上的变量顺序连接数据点。你看到一个多边形的原因是有一堆垂直线沿着x轴上下移动，我认为我们认为该区域是填充的。
# 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，您希望color超出aes()。
ggplot() +
geom_path(data = mydata, aes(x = long, y = lat, group = group), colour = "red")
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