使用ggmap绘制GPS坐标 [英] Plotting GPS coordinates using ggmap

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本文介绍了使用ggmap绘制GPS坐标的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我试图在R中使用ggmap在地图上创建gps坐标图。
这是我使用的数据集的前10行:

  gps [1:10,] 
X_id lon timestamp lat
1 5555bcda65bc7d0f2c8d1a9c -4.018623 2015-05-15T09:31:06.859Z 53.23945
2 5555bcdb65bc7d0f2c8d1a9f -4.018623 2015-05-15T09:31:07.371Z 53.23945
3 5555bcdb65bc7d0f2c8d1aa2 -4.018623 2015-05-15T09:31:07.868Z 53.23945
4 5555bcdc65bc7d0f2c8d1aa5 -4.018623 2015-05-15T09:31:08.364Z 53.23945
5 5555bcdc65bc7d0f2c8d1aa8 -4.018623 2015-05-15T09:31:08.860Z 53.23945
6 5555bcdd65bc7d0f2c8d1aab -4.018623 2015-05-15T09:31:09.372Z 53.23945
7 5555bcdd65bc7d0f2c8d1aad -4.018623 2015-05-15T09:31:09.868Z 53.23945
8 5555bcde65bc7d0f2c8d1ab0 -4.018623 2015-05 -15T09:31:10.381Z 53.23945
9 5555bcde65bc7d0f2c8d1ab3 -4.018623 2015-05-15T09:31:10.862Z 53.23945
10 5555bcdf65bc7d0f2c8d1ab6 -4.018623 2015-05-15T09:31:11.373Z 53.23945

$ b

这是我到目前为止编码的内容:

  library(ggmap )
mapImageData< - get_googlemap(center = c(lon = median(gps $ lon),lat = median(gps $ lat)),zoom = 18,size = c(500,500),maptype = c (卫星))
(ggmap(mapImageData,extent =device)+ geom_point(aes(x = lon,y = lat),data = gps,color =red,size = 1,pch = 20))

这给了我下面的图:





我想要做的是为与变量timestamp相关的点创建一个颜色渐变,以便更容易推断出行进方向。

我有尝试使用:

  color = timestamp 

但分数都是黑色的。 Amy的想法?

谢谢

解决方案

您需要将时间戳然后使用 scale_color_gradient 添加颜色...

  gps<  -  read.table(textConnection(a X_id lon timestamp lat 
1 5555bcda65bc7d0f2c8d1a9c -4.018623 2015-05-15T09:31:06.859Z 53.23945
2 5555bcdb65bc7d0f2c8d1a9f -4.018735 2015-05- 15T09:31:07.371Z 53.23945
3 5555bcdb65bc7d0f2c8d1aa2 -4.018847 2015-05-15T09:31:07.868Z 53.23945
4 5555bcdc65bc7d0f2c8d1aa5 -4.018959 2015-05-15T09:31:08.364Z 53.23945
5 5555bcdc65bc7d0f2c8d1aa8 -4.019061 2015-05-15T09:31:08.860Z 53.23945
6 5555bcdd65bc7d0f2c8d1aab -4.019173 2015-05-15T09:31:09.372Z 53.23945
7 5555bcdd65bc7d0f2c8d1aad -4.019285 2015-05-15T09:31:09.868Z 53.23945
8 5555bcde65bc7d0f2c8d1ab0 -4.019397 2015-05-15T09:31:10.381Z 53.23945
9 5555bcde65bc7d0f2c8d1ab3 -4.019409 2015-05-15T09:31: 10.862Z 53.23945
10 5555bcdf65bc7d0f2c8d1ab6 -4.019511 2015-05-15T09:31:11.373Z 53.23945),
header = T)
gps $ timestamp2 < - as.POSixct(gsub( (gps $ lon),$($ g $ g $ g $ g $ g $ g $ g $ g $ g $ g $) b $ b lat = median(gps $ lat)),zoom = 18,
size = c(500,500),
maptype = c(satellite))
ggmap(mapImageData ,extent =device)+
geom_point(aes(x = lon,y = lat,color = as.integer(timestamp2)),
data = gps,size = 1,p ch = 20)+
scale_color_gradient(low =red,high =blue)


I am attempting to create a plot of gps coordinates on a map in R using ggmap. Here is the first 10 rows of the dataset I am using:

     gps[1:10,]
                   X_id       lon                timestamp      lat
    1  5555bcda65bc7d0f2c8d1a9c -4.018623 2015-05-15T09:31:06.859Z 53.23945
    2  5555bcdb65bc7d0f2c8d1a9f -4.018623 2015-05-15T09:31:07.371Z 53.23945
    3  5555bcdb65bc7d0f2c8d1aa2 -4.018623 2015-05-15T09:31:07.868Z 53.23945
    4  5555bcdc65bc7d0f2c8d1aa5 -4.018623 2015-05-15T09:31:08.364Z 53.23945
    5  5555bcdc65bc7d0f2c8d1aa8 -4.018623 2015-05-15T09:31:08.860Z 53.23945
    6  5555bcdd65bc7d0f2c8d1aab -4.018623 2015-05-15T09:31:09.372Z 53.23945
    7  5555bcdd65bc7d0f2c8d1aad -4.018623 2015-05-15T09:31:09.868Z 53.23945
    8  5555bcde65bc7d0f2c8d1ab0 -4.018623 2015-05-15T09:31:10.381Z 53.23945
    9  5555bcde65bc7d0f2c8d1ab3 -4.018623 2015-05-15T09:31:10.862Z 53.23945
    10 5555bcdf65bc7d0f2c8d1ab6 -4.018623 2015-05-15T09:31:11.373Z 53.23945

Here is what I have coded so far:

    library(ggmap)
    mapImageData <- get_googlemap(center = c(lon = median(gps$lon), lat = median(gps$lat)),zoom = 18,size = c(500, 500),maptype = c("satellite"))                              
   (ggmap(mapImageData,extent = "device") + geom_point(aes(x = lon,y = lat),data = gps,colour = "red",size = 1,pch = 20))

Which gives me the following map:

What I would like to do is create a colour gradient for the points which are related to the variable "timestamp" so that it is easier to deduce travel direction

I have tried this using:

    colour = timestamp

But the points are all black. Amy ideas?

Thanks

解决方案

You need to convert the timestamp to a numeric value first, then use scale_color_gradient to add the color...

gps <- read.table(textConnection("a X_id lon timestamp lat
                                  1  5555bcda65bc7d0f2c8d1a9c -4.018623 2015-05-15T09:31:06.859Z 53.23945
                                  2  5555bcdb65bc7d0f2c8d1a9f -4.018735 2015-05-15T09:31:07.371Z 53.23945
                                  3  5555bcdb65bc7d0f2c8d1aa2 -4.018847 2015-05-15T09:31:07.868Z 53.23945
                                  4  5555bcdc65bc7d0f2c8d1aa5 -4.018959 2015-05-15T09:31:08.364Z 53.23945
                                  5  5555bcdc65bc7d0f2c8d1aa8 -4.019061 2015-05-15T09:31:08.860Z 53.23945
                                  6  5555bcdd65bc7d0f2c8d1aab -4.019173 2015-05-15T09:31:09.372Z 53.23945
                                  7  5555bcdd65bc7d0f2c8d1aad -4.019285 2015-05-15T09:31:09.868Z 53.23945
                                  8  5555bcde65bc7d0f2c8d1ab0 -4.019397 2015-05-15T09:31:10.381Z 53.23945
                                  9  5555bcde65bc7d0f2c8d1ab3 -4.019409 2015-05-15T09:31:10.862Z 53.23945
                                  10 5555bcdf65bc7d0f2c8d1ab6 -4.019511 2015-05-15T09:31:11.373Z 53.23945"), 
                   header=T)
gps$timestamp2 <- as.POSIXct(gsub("T", " ", substring(gps$timestamp, 1, 19)))
library(ggmap)
mapImageData <- get_googlemap(center = c(lon = median(gps$lon), 
                              lat = median(gps$lat)), zoom = 18,
                              size = c(500, 500),
                              maptype = c("satellite"))                              
ggmap(mapImageData,extent = "device") + 
  geom_point(aes(x = lon,y = lat, color=as.integer(timestamp2)),
             data = gps, size = 1, pch = 20) + 
  scale_color_gradient(low="red", high="blue")

这篇关于使用ggmap绘制GPS坐标的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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