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首页 > 解决方案 > 将火灾数据作为具有纬度和经度值的点添加到使用 R 中的 OpenAir 包生成的气团回弹轨迹图中

r - 将火灾数据作为具有纬度和经度值的点添加到使用 R 中的 OpenAir 包生成的气团回弹轨迹图中

问题描述

我目前有一系列气团后向轨迹图，其中按后向轨迹交叉的频率网格，使用 R 的 OpenAir 包生成。我想在这些图中添加指示火灾位置的点。从 .csv 文件中读取的点，其中每个独特的火灾都有一个纬度和经度值。

我已阅读 OpenAir 手册，但没有看到任何解决方案。我尝试使用以下代码添加要点：

Week_One_Freq + points (FireData$longitude, FireData$latitude, col = "red", cex = .6)

但是遇到错误：

Error in Week_One_Freq + points(FireData$longitude, FireData$latitude,:  non-numeric argument to binary operator

我已经测试了问题是否与火灾数据有关。我绘制的点如下：

library(rworldmap)
newmap <- getMap(resolution = "low")
plot(newmap, xlim = c(-80, 80), ylim = c(-40, 40), asp = 1)
points (FireData$longitude, FireData$latitude, col = "red", cex = .6)

它工作正常，正确绘制火灾位置。

这是我的频率轨迹图代码：

Week_One_Freq <- trajLevel(Week_1_Traj, statistic = "frequency",
                          smooth = TRUE,
                          map.cols = "grey40", map.alpha = 0.2,
                          projection = "mercator", parameters = NULL,
                          grid.col = "transparent",
                          key.pos = "right", 
                          orientation = c(90,0,0),
                          npoints = 20, origin = TRUE,
                          xlim= c(-80, 80), ylim = c(-40, 40))

到目前为止，我可以在地图上绘制火灾数据点，并且可以为气团返回轨迹生成一系列频率图。我想将两者结合起来，以便在一张地图上同时显示返回轨迹和指示火灾位置的点。

编辑：用于创建频率图的轨迹数据示例：

structure(list(X = 1:5, Receptor = c(1L, 1L, 1L, 1L, 
1L, 1L), Year = c(2017L, 2017L, 2017L, 2017L, 2017L, 2017L), 
Month = c(10L, 10L, 10L, 10L, 10L, 10L), Day = c(6L, 5L, 
5L, 5L, 5L, 5L), Hour = c(0L, 23L, 22L, 21L, 20L, 19L), hour.inc = 0:-5, 
lat = c(-3.162, -3.189, -2.937, -2.87, -2.809, -2.753), lon = c(-60.6, 
-60.439, -60.282, -60.13, -60.986, -60.851), height = c(500, 
502.2, 500.6, 495.2, 486.4, 474.3), pressure = c(944.2, 942.9, 
942.4, 942.3, 942.7, 943.5), date = structure(c(1L, 1L, 1L, 
1L, 1L, 1L), .Label = c("06/10/2017 00:00", "06/10/2017 03:00", 
"06/10/2017 06:00", "06/10/2017 09:00", "06/10/2017 12:00", 
"06/10/2017 15:00", "06/10/2017 18:00", "06/10/2017 21:00", 
"07/10/2017 00:00", "07/10/2017 03:00", "07/10/2017 06:00", 
"07/10/2017 09:00", "07/10/2017 12:00", "07/10/2017 15:00", 
"07/10/2017 18:00", "07/10/2017 21:00", "08/10/2017 00:00", 
"08/10/2017 03:00", "08/10/2017 06:00", "08/10/2017 09:00", 
"08/10/2017 12:00", "08/10/2017 15:00", "08/10/2017 18:00", 
"08/10/2017 21:00", "09/10/2017 00:00", "09/10/2017 03:00", 
"09/10/2017 06:00", "09/10/2017 09:00", "09/10/2017 12:00", 
"09/10/2017 15:00", "09/10/2017 18:00", "09/10/2017 21:00", 
"10/10/2017 00:00", "10/10/2017 03:00", "10/10/2017 06:00", 
"10/10/2017 09:00", "10/10/2017 12:00", "10/10/2017 15:00", 
"10/10/2017 18:00", "10/10/2017 21:00", "11/10/2017 00:00", 
"11/10/2017 03:00", "11/10/2017 06:00", "11/10/2017 09:00", 
"11/10/2017 12:00", "11/10/2017 15:00", "11/10/2017 18:00", 
"11/10/2017 21:00", "12/10/2017 00:00", "12/10/2017 03:00", 
"12/10/2017 06:00", "12/10/2017 09:00", "12/10/2017 12:00", 
"12/10/2017 15:00", "12/10/2017 18:00", "12/10/2017 21:00"
), class = "factor"), Date = structure(c(1L, 1L, 1L, 1L, 
1L, 1L), .Label = c("06/10/2017", "07/10/2017", "08/10/2017", 
"09/10/2017", "10/10/2017", "11/10/2017", "12/10/2017"), class = 
"factor")), row.names = c(NA, 
6L), class = "data.frame")

火灾数据示例：

structure(list(acq_date = structure(c(6L, 6L, 6L, 6L, 6L, 6L), .Label = 
c("01/11/2017", "02/11/2017", "03/11/2017", "04/11/2017", "05/11/2017", 
"06/10/2017", "06/11/2017", "07/10/2017", "08/10/2017", "09/10/2017", 
"10/10/2017", "11/10/2017", "12/10/2017", "13/10/2017", "14/10/2017", 
"15/10/2017", "16/10/2017", "17/10/2017", "18/10/2017", "19/10/2017", 
"20/10/2017", "21/10/2017", "22/10/2017", "23/10/2017", "24/10/2017", 
"25/10/2017", "26/10/2017", "27/10/2017", "28/10/2017", "29/10/2017", 
"30/10/2017", "31/10/2017"), class = "factor"), latitude = c(-0.18499, 
-0.18777, -0.18832, -0.1932, -0.19654, -0.21077), longitude = c(-48.89484, 
-48.89885, -48.89536, -49.06121, -49.06173, -48.97051)), row.names = c(NA, 
6L), class = "data.frame")

标签： ropenair

解决方案

有人在https://github.com/davidcarslaw/openair/issues/68解决了同样的问题。您可以使用 latticeExtra 中的图层函数将点添加到最后一个格子对象，但首先您需要使用 mapproject 将您的点放到正确的投影上。我已经扩展了他们的示例以包含一些附加信息，例如所需的库。

library(openair)
library(maps)
library(mapproj)
library(latticeExtra)

# import your data
Trajectory_Data <- read.table("Analysis.txt")
Fire_Data <- read.csv("Fire_Data.csv")

lon <- Fire_Data$longitude  
lat <- Fire_Data$latitude  
#convert points to projected lat/long
tmp <- mapproject(x=lon, y=lat, projection='lambert', parameters = c(51, 51), orientation = c(90, 0, 0))  
# I found the projection, parameters, and orientation by looking at the default values for arguments in the trajLevel function 

# Plot trajectories
trajLevel(subset(Trajectory_Data, lon > -70 & lon < -20 & lat > -15 & lat < 15),
          pollutant = "BC", statistic = "cwt", smooth = TRUE, col = "increment", border = NA)
# add the points. you can adjust the size of the points with cex
c <- trellis.last.object() + layer(lpoints(tmp$x, tmp$y, pch=16, cex=0.05, col="black"))
print(c)

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