如何过滤滑块中闪亮传单中的年份（交互式地图）

Question

library(shiny)
library(leaflet)
library(RMySQL)
library(DBI)

data <- function(con){
    con <- dbConnect(MySQL(), dbname="", host="localhost",
                     port = , user="",
                     password="")
    dbSendQuery(con, "SEt NAMES euckr")
    d <- dbGetQuery(con, "select * from accidents")
    dbDisconnect(con)
}

原始数据（d）有信息：事故发生地点、事故发生年份、事故发生次数、经度、纬度等...

这是用户界面

ui <- navbarPage("Interactive Map",
                 tabPanel("Map",
                          leafletOutput("m", height=800),
                          tags$style("
                                     #controls {
                                     backgropund-color: #ddd;
                                     opacity: 0.7;
                                     }
                                     #controls:hover{
                                     opacity: 1;
                                     }
                                     "),
                          absolutePanel(id = "controls",  class="panel panel-default",
                                        fixed =TRUE, draggable = TRUE, top=60, left="auto",
                                        right=20, bottom ="auto", width=250, height=450,
                                        sliderInput("year",
                                                    "years:",
                                                    min=min(d$acci_year),
                                                    max=max(d$acci_year),
                                                    value=range(d$acci_year),
                                                    step=1, sep=""))))

这是服务器

server <- function(input, output, session){
    filteredData <- reactive({
        d[d$acci_year >= input$year[1] & d$acci_year <= input$year[2],]
    })
    d_colour <- colorFactor("viridis", d$acci_type)
    
    output$m <- renderLeaflet({
        
        leaflet(d) %>% 
            setView(lng = 126.97806, lat=37.56667, zoom=13) %>%
            addTiles() %>% 
            addCircles(lng=~d$longitude, lat=~d$latitude, color=~d_colour(d$acci_type), radius=20, 
                       popup=paste0("<br>accident place:", d$accident_address, "<br>accident year:", d$acci_year, "<br>발생건수:", d$발생건수,
                                    "<br>사상자수:", d$사상자수, "<br>사망자수:", d$사망자수,
                                    "<br>중상자수:", d$중상자수, "<br>경상자수:", d$경상자수,
                                    "<br>부상자수:", d$부상자수)) %>% 
            addLegend(position = "bottomleft",
                      title = "types of accident",
                      pal = d_colour, values = ~d$acci_type, opacity = 1)
    })
    
    d_colour <- colorFactor("viridis", d$acci_type)
    observe({
        
        leafletProxy("m", data=filteredData()) %>% 
            clearShapes() %>% 
            addCircles(lng=~d$longitude, lat=~d$latitude, color=~d_colour(d$acci_type), radius=20,
                       popup=paste0("<br>accident place:", d$accident_address, "<br>accident year:", d$acci_year, "<br>발생건수:", d$발생건수,
                                    "<br>사상자수:", d$사상자수, "<br>사망자수:", d$사망자수,
                                    "<br>중상자수:", d$중상자수, "<br>경상자수:", d$경상자수,
                                    "<br>부상자수:", d$부상자수))
    })
}

shinyApp(ui=ui, server=server)

我为你把一些韩语变量改成了英语！ 由于此功能，我一周无法进行下一步.. 非常感谢您的回答！

Answer 1

更新

错误仍然存​​在于您的代码中，您正在替换地图中的所有点，因此您的地图不会随滑块输入而改变。您需要通过以下方式更改lng=~d$longitude, lat=~d$latitude, ： lng=~longitude, lat=~latitude, 这意味着您不想添加地图中的所有圆圈~d$longitude lat=~d$latitude，而只想添加被滑块输入过滤的lng=~longitude lat=~latitude。

当您使用filteredData() 进行过滤时，您不希望d 中的所有信息都像d$lat 这样您只需要SliderInput 过滤的信息：~lat。

旧答案

您的代码中的错误在这里：

 leafletProxy("m", data=filteredData()) %>% 
            clearShapes() %>% 
 addCircles(lng=~d$longt, lat=~d$lat, color=~d_colour(d$acci_type), # this line

您将用创建地图的相同点（d$longt 和 d$lat）替换这些点，因此地图不会改变。

要解决这个问题，您需要将点放在 filtersData() 列：

 leafletProxy("m", data=filteredData()) %>%  
      clearShapes() %>% clearMarkers()  %>% 
      addCircles(lng=~longt, lat=~lat,  #don't forget ~ to specify that the column comes from filteredData()
color=~d_colour(acci_type),

这里是完整的reproducible example：

library(shiny)
library(leaflet)

d=data.frame(
  acci_year=c(2012,2013,2014,2015),
  longt=c(126.97806,126.97822126,125.97806,124.97806),
  lat=c(37.56667,35.56667,38.56667,37.56667),
  acci_type=c("low","high","medium","high"),
  accident_happen_place=c("word1","word2","word3","word4"),
  accident_2 =c("anotherword1","anotherword2","anotherword3","anotherword4"),
  accident_3=c("otheword1","otheword2","otheword3","otheword4"),
  accident_4 =c("example1","example2","example3","example4"),
  accident_5 =c("anotherexample1","anotherexample2","anotherexample3","anotherexample4"),
  accident_6 =c("onemoreexample1","onemoreexample2","onemoreexample3","onemoreexample4"),
  accident_7 =c("ex1","ex2","ex3","ex4"),
  accident_8 =c("2_ex1","2_ex2","2_ex3","2_ex4")
)
ui <- navbarPage("Interactive Map",
                 tabPanel("Map",
                          leafletOutput("m", height=800),
                          tags$style("
                                     #controls {
                                     backgropund-color: #ddd;
                                     opacity: 0.7;
                                     }
                                     #controls:hover{
                                     opacity: 1;
                                     }
                                     "),
                          absolutePanel(id = "controls",  class="panel panel-default",
                                        fixed =TRUE, draggable = TRUE, top=60, left="auto",
                                        right=20, bottom ="auto", width=250, height=450,
                                        sliderInput("year",
                                                    "years:",
                                                    min=min(d$acci_year),
                                                    max=max(d$acci_year),
                                                    value=2012:2019,
                                                    step=1, sep=""))))
server <- function(input, output, session){
  
  filteredData <- reactive({
    d[d$acci_year >= input$year[1] & d$acci_year <= input$year[2],]
  })
  d_colour <- colorFactor("viridis", d$acci_type)
  
  output$m <- renderLeaflet({
    
    leaflet(d) %>% 
      setView(lng = 126.97806, lat=37.56667, zoom=7) %>%
      addTiles() %>% 
      addCircles(lng=~d$longt, lat=~d$lat, color=~d_colour(d$acci_type), radius=20, 
                 popup=paste0("<br>사고장소:", d$accident_happen_place, "<br>accident_2:", d$accident_2, "<br>accident_3:", d$accident_3,
                              "<br>accident_4:", d$accident_4, "<br>accident_5:", d$accident_5,
                              "<br>accident_6:", d$accident_6, "<br>accident_7:", d$accident_7,
                              "<br>accident_8:", d$accident_8)) %>% 
      addLegend(position = "bottomleft",
                title = "사고유형",
                pal = d_colour, values = ~d$acci_type, opacity = 1)
    })
  
  
  d_colour <- colorFactor("viridis", d$acci_type)
  observe({
   
   
    leafletProxy("m", data=filteredData()) %>% 
      clearShapes() %>% 
      addCircles(lng=~longt, lat=~lat, color=~d_colour(acci_type), radius=20, 
                 popup=paste0("<br>사고장소:", d$accident_happen_place, "<br>발생년도:", d$accident_2, "<br>accident_3:", d$accident_3,
                              "<br>accident_4:", d$accident_4, "<br>accident_5:", d$accident_5,
                              "<br>accident_6:", d$accident_6, "<br>accident_7:", d$accident_7,
                              "<br>accident_8:", d$accident_8) ) 
  } )
}

shinyApp(ui, server) 

您不需要使用 dbGetquery 两次：

d <- dbGetQuery(con, "select * from accidents"
dbGetQuery(con,d)

这种方式已经很完美了：

d <- dbGetQuery(con, "select * from accidents")