Question

伙计们，我不知道到底发生了什么事。我以前做过足够的传单地图，从来没有遇到过这样的问题。震惊了一下。做很简单的事情。

状态无法与.csv和.json文件匹配...

# US Adult Obesity 2016

library(rgdal)
library(sp)
library(leaflet)
library(geojsonio)
library(RColorBrewer)
library(dplyr)

# Set working directory
setwd("C:/~/App US Adult Obesity")

# Read csv
obesity <- read.csv("US Adult Obesity.csv", header = TRUE) 

# Read geojson file
states <- geojson_read("gz_2010_us_040_00_500k.json", what = "sp")
View(states)

# Match data
obesity.map.2016 <- merge(states, obesity, by.x = "NAME", by.y = "State")
class(obesity.map.2016)
View(obesity.map.2016)

# Create a palette
obesity$Year.2016 <- as.numeric(as.character(obesity$Year.2016))
pal <- colorBin("Reds", c(22, 38), na.color = "#808080")
            #, alpha = FALSE, reverse = FALSE)


# Create a popup
state_popup <- paste0("<strong>State: </strong>", 
                  obesity$state, 
                  "<br><strong>% of adult obesity in 2016: </strong>", 
                  obesity$Year.2016)

# Create a map
leaflet(obesity.map.2016) %>% 
addProviderTiles(providers$Stamen.TonerLite) %>%  
setView(lng = -98.583, lat = 39.833, zoom = 4) %>%  
addPolygons(color = "#444444", weight = 1, 
          # opacity = 0.5, 
          fillOpacity = 0.7,
          fillColor = ~pal(obesity$Year.2016),
          popup = state_popup) %>%
addLegend("bottomright", pal = pal, values = ~obesity$Year.2016, 
opacity = 1,
        title = "US Adult Obesity in 2016 by State")

因此，我在加利福尼亚州收到了明尼苏达州的数据。视图显示它不匹配，我有50个状态+ DC。我不敢相信我忘记了怎么做。有关我愚蠢错误的任何提示吗？

Answer 1

亲自解决。看起来我搞砸了价值观，使用的不是来自df，而是来自csv。

# US Adult Obesity 2016

library(rgdal)
library(sp)
library(leaflet)
library(geojsonio)

# Set working directory
setwd("C:/~US Adult Obesity")

# Read csv, which was created specifically 
obesity <- read.csv("US Adult Obesity.csv", header = TRUE) 

# Read geojson file
states <- geojson_read("gz_2010_us_040_00_500k.json", what = "sp")
# View(states)

# Shape file - cb_2016_us_state_500k.shp
# states <- readOGR(dsn = "C:/DC/IFC/My Shiny apps/App US Adult Obesity", 
#                  layer = "cb_2016_us_state_500k", 
#                 encoding = "UTF-8", verbose = FALSE)

# Match data
obesity.map.2016 <- merge(states, obesity, by = "NAME")
class(obesity.map.2016)
View(obesity.map.2016)

# Create a palette
obesity.map.2016$Year.2016 <- as.numeric(as.character(obesity.map.2016 
$Year.2016))
pal <- colorBin("Reds", c(22, 38), na.color = "#808080")
            #, alpha = FALSE, reverse = FALSE)


# Create a popup
state_popup <- paste0("<strong>State: </strong>", 
                  obesity.map.2016$NAME, 
                  "<br><strong>% of adult obesity in 2016: </strong>", 
                  obesity.map.2016$Year.2016)

# Create a map
leaflet(obesity.map.2016) %>% 
addProviderTiles(providers$Stamen.TonerLite) %>%  
setView(lng = -98.583, lat = 39.833, zoom = 4) %>%  
addPolygons(color = "#444444", weight = 1, 
          # opacity = 0.5, 
          fillOpacity = 0.7,
          fillColor = ~pal(obesity.map.2016$Year.2016),
          popup = state_popup) %>%
addLegend("bottomright", pal = pal, values = ~obesity.map.2016$Year.2016, 
        opacity = 1,
        title = "US Adult Obesity in 2016 by State (%)")

在Leaflet地图中合并csv和json文件 - 奇怪的错误

1 个答案: