如何将空间数据与Dataframe结合在一起，以便可以与Tmap一起显示? [英] How to join Spatial data with Dataframe so it can be displayed with Tmap?

问题描述

简短版本::执行以下命令qtm(World, "amount")时，出现以下错误消息:

Short version: when executing the following command qtm(World, "amount") I get the following error message:

$<-.data.frame中的错误(*tmp*，"SHAPE_AREAS"，值= c(653989.801201595，:替换具有177行，数据具有175

Error in $<-.data.frame(*tmp*, "SHAPE_AREAS", value = c(653989.801201595, : replacement has 177 rows, data has 175

免责声明::这是我以前在

Disclaimer: this is the same problem I used to have in this question, but if I'm not wrong, in that one the problem was that I had one variable on the left dataframe that matched to several variables on the right one, and hence, I needed to group variables on right dataframe. In this case, I am pretty sure that I do not have the same problem, as can be seen from the code below:

library(tmap)
library(tidyr)

# Read tmap's world map.
data("World")

# Load my dataframe.
df = read.csv("https://gist.githubusercontent.com/ccamara/ad106eda807f710a6f331084ea091513/raw/dc9b51bfc73f09610f199a5a3267621874606aec/tmap.sample.dataframe.csv",
         na = "")

# Compare the countries in df that do not match with World's
# SpatialPolygons.
df$iso_a3 %in% World$iso_a3

# Return rows which do not match
selected.countries = df$iso_a3[!df$iso_a3 %in% World$iso_a3]


df.f = filter(df, !(iso_a3 %in% selected.countries))

# Verification.
df.f$iso_a3[!df.f$iso_a3 %in% World$iso_a3]

World@data = World@data %>%
  left_join(df.f, by = "iso_a3") %>%
  mutate(iso_a3 = as.factor(iso_a3)) %>%
  filter(complete.cases(iso_a3))

qtm(World, "amount")

我的猜测是，线索可能是以下事实:连接两个数据框时我正在使用的列具有不同的级别(因此将其转换为字符串)，但是我很ham愧地承认我仍然不了解我在这里有错误.我假设我的数据框有问题，尽管我不得不承认即使使用较小的数据框也无法解决问题:

My guess is that the clue may be the fact that the column I am using when joining both dataframes has different levels (hence it is converted to string), but I'm ashamed to admit that I still don't understand the error that I am having here. I'm assuming I have something wrong with my dataframe, although I have to admit that it didn't work even with a smaller dataframe:

selected.countries2 = c("USA", "FRA", "ITA", "ESP")
df.f2 = filter(df, iso_a3 %in% selected.countries2)
df.f2$iso_a3 = droplevels(df.f2$iso_a3)

World@data = World@data %>%
  left_join(df.f2, by = "iso_a3") %>%
  mutate(iso_a3 = as.factor(iso_a3)) %>%
  filter(complete.cases(iso_a3))

World$iso_a3 = droplevels(World$iso_a3)

qtm(World, "amount")

任何人都可以帮助我指出导致此错误的原因(提供解决方案的可能性也很大)

Can anyone help me pointing out what's causing this error (providing an solution may also be much appreaciated)

推荐答案

已还是您的数据

table(df$iso_a3)

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