在R中获取ggmap的纬度和经度坐标
Getting lat and lon coordinates for ggmap in R
我有来自 iOS Moves 应用程序的数据,其格式为:
timeAtSite location
800.52 {"lat": 38.87212, "lon": -94.61764}
116.40 {"lat": 38.91571, "lon": -94.64835}
14.48 {"lat": 38.91461, "lon": -94.64795}
我尝试了多种不成功的方法来将位置数据放入单独的纬度和经度列(下面的示例):
al1 = get_map(location = c(lon: -94.61764, lat: 38.87212), zoom = 2, maptype = 'roadmap')
al1MAP = ggmap(al1)
al1MAP
al1MAP <- ggmap(al1)+ geom_point(data=c(moves$Location["lat"],moves$Location["lon"]))
你可以试试
library(stringr)
df[c('lat', 'lon')] <- do.call(rbind,lapply(str_extract_all(df$location,
'[-0-9.]+'), as.numeric))
或者
library(tidyr)
df1 <- extract(df, location, c('lat', 'lon'), '([-0-9.]+)[^-0-9.]+([-0-9.]+)',
convert=TRUE)
df1
# timeAtSite lat lon
#1 800.52 38.87212 -94.61764
#2 116.40 38.91571 -94.64835
#3 14.48 38.91461 -94.64795
提取位置后,
center <- paste(min(df1$lat)+(max(df1$lat)-min(df1$lat))/2,
min(df1$lon)+(max(df1$lon)-min(df1$lon))/2, sep=" ")
df1$id <- 1:3
library(ggmap)
al1 <- get_map(location = center, zoom = 11, maptype = "roadmap" )
p <- ggmap(al1)
p <- p + geom_text(data=df1,aes(x = lon, y = lat, label=id),
colour="red",size=4,hjust=0, vjust=0)+
theme(legend.position = "none")
p <- p + geom_point(data=df1,aes(x=lon, y=lat),colour="black",size=2)
p
数据
df <- structure(list(timeAtSite = c(800.52, 116.4, 14.48), location =
c("{\"lat\": 38.87212, \"lon\": -94.61764}", "{\"lat\": 38.91571,
\"lon\": -94.64835}", "{\"lat\": 38.91461, \"lon\": -94.64795}"
)), .Names = c("timeAtSite", "location"), class = "data.frame", row.names =
c(NA, -3L))
我有来自 iOS Moves 应用程序的数据,其格式为:
timeAtSite location
800.52 {"lat": 38.87212, "lon": -94.61764}
116.40 {"lat": 38.91571, "lon": -94.64835}
14.48 {"lat": 38.91461, "lon": -94.64795}
我尝试了多种不成功的方法来将位置数据放入单独的纬度和经度列(下面的示例):
al1 = get_map(location = c(lon: -94.61764, lat: 38.87212), zoom = 2, maptype = 'roadmap')
al1MAP = ggmap(al1)
al1MAP
al1MAP <- ggmap(al1)+ geom_point(data=c(moves$Location["lat"],moves$Location["lon"]))
你可以试试
library(stringr)
df[c('lat', 'lon')] <- do.call(rbind,lapply(str_extract_all(df$location,
'[-0-9.]+'), as.numeric))
或者
library(tidyr)
df1 <- extract(df, location, c('lat', 'lon'), '([-0-9.]+)[^-0-9.]+([-0-9.]+)',
convert=TRUE)
df1
# timeAtSite lat lon
#1 800.52 38.87212 -94.61764
#2 116.40 38.91571 -94.64835
#3 14.48 38.91461 -94.64795
提取位置后,
center <- paste(min(df1$lat)+(max(df1$lat)-min(df1$lat))/2,
min(df1$lon)+(max(df1$lon)-min(df1$lon))/2, sep=" ")
df1$id <- 1:3
library(ggmap)
al1 <- get_map(location = center, zoom = 11, maptype = "roadmap" )
p <- ggmap(al1)
p <- p + geom_text(data=df1,aes(x = lon, y = lat, label=id),
colour="red",size=4,hjust=0, vjust=0)+
theme(legend.position = "none")
p <- p + geom_point(data=df1,aes(x=lon, y=lat),colour="black",size=2)
p
数据
df <- structure(list(timeAtSite = c(800.52, 116.4, 14.48), location =
c("{\"lat\": 38.87212, \"lon\": -94.61764}", "{\"lat\": 38.91571,
\"lon\": -94.64835}", "{\"lat\": 38.91461, \"lon\": -94.64795}"
)), .Names = c("timeAtSite", "location"), class = "data.frame", row.names =
c(NA, -3L))