mapdist和googleway在R

我一直在尝试2个邮政编码之间的地图距离。我有大约3万条记录。我了解谷歌只允许每天2500个查询，因此我现在有一个来自他们的API。出于某种原因 - 我一直在努力将API密钥插入代码中。我还遇到了另一个名为googleway的软件包 - 它做了同样的事情，但我喜欢mapdist的格式。有没有一种方法：mapdist和googleway在R

一）使用API到这个代码或
B）使用谷歌的方式包装填充类似的结果从mapdist

欣赏提前您的支持。

library(ggmap) 
library(plyr) 
library(googleway) 
key <- "XXX" 

file_loc <- "C:/Users/Owner/Desktop/distance.csv" 

x <- read.csv(file_loc, header = TRUE) 

from <- x[1] 
to <- x[2] 

DF <- cbind(from, to); DF <- as.data.frame(DF) # create data frame 
DF$from <- as.character(DF$from) # mapdist demands input to be character type 
DF$to <- as.character(DF$to)  # mapdist demands input to be character type 
remove (from, to) #remove input to avoid confusion 

DF$row.number <- 1:nrow(DF)  #create an index number for each row 


for (i in DF$row.number){ 
    orig <- DF[i,c('from')] 
    dest <- DF[i,c('to')] 
    a <- mapdist(from = orig, to = dest, mode = "driving",output = c("simple", "all"), override_limit = FALSE) 
    a$row.number <- i 
    DF$minutes[match(a$row.number, DF$row.number)] <- a$minutes 
    DF$hours[match(a$row.number, DF$row.number)] <- a$hours 
    DF$km[match(a$row.number, DF$row.number)] <- a$km 
    DF$miles[match(a$row.number, DF$row.number)] <- a$miles 
} 


write.csv(DF, "newdata.csv") #Save dataset

来源

2016-07-26 Deepayan

使用'httr'直接调用API。另外，''''从''''''到'到'DF'位是循环的。 [让您的示例可重现]（http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example）。 – alistaire

至于我可以告诉你不能指定与ggmap::mapdist

至于googleway的API密钥（我写的包），使用它是

key <- "your_api_key" 
google_distance(origins = list("MCG, Melbourne, Australia"), 
       destinations = list("Sydney Opera House, Australia"), 
       key = key) 

# $destination_addresses 
# [1] "Sydney NSW, Australia" 
# 
# $origin_addresses 
# [1] "Jolimont Station, Wellington Cres, East Melbourne VIC 3002, Australia" 
# 
# $rows 
# elements 
# 1 869 km, 869270, 8 hours 51 mins, 31847, 8 hours 45 mins, 31485, OK 
# 
# $status 
# [1] "OK"

方式或者你有一个从/到地址的数据帧：

df <- data.frame(from = c("MCG, Melbourne, Australia", "Sydney Opera House, Australia"), 
       to = c("Sydney Opera House, Australia", "Canberra, Australia")) 


res <- apply(df, 1, function(x){ 

    google_distance(origins = list(x["from"]), 
        destinations = list(x["to"]), 
        key = key) 

}) 
res 
# [[1]] 
# [[1]]$destination_addresses 
# [1] "Sydney NSW, Australia" 
# 
# [[1]]$origin_addresses 
# [1] "Jolimont Station, Wellington Cres, East Melbourne VIC 3002, Australia" 
# 
# [[1]]$rows 
# elements 
# 1 869 km, 869270, 8 hours 51 mins, 31847, 8 hours 44 mins, 31451, OK 
# 
# [[1]]$status 
# [1] "OK" 
# 
# 
# [[2]] 
# [[2]]$destination_addresses 
# [1] "Canberra ACT 2601, Australia" 
# 
# [[2]]$origin_addresses 
# [1] "Sydney NSW, Australia" 
# 
# [[2]]$rows 
# elements 
# 1 286 km, 286143, 3 hours 1 min, 10859, 3 hours 6 mins, 11152, OK 
# 
# [[2]]$status 
# [1] "OK"

来源

2016-07-27 00:50:49 SymbolixAU

mapdist和googleway在R

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