传单地图不会在开始时加载闪亮
leafletR map doesn't load in shiny on start
我有以下一小段代码(更多更少,如所述 HERE)- 我想控制闪亮的滑块显示的点数。你可以看到初始地图在一段时间后加载(观察控制台输出),但它只会在你使用滑块一次后显示。
但我希望在启动 shiny 应用程序期间创建地图后显示它 - 任何提示如何做到这一点?
## app.R ##
library(shiny)
library(shinydashboard)
library(httr)
library(leafletR)
data(quakes)
# dest_dir=tempdir()
dest_dir="foo_map"
dest_file = paste(dest_dir,"quakes","quakes.html",sep="\")
dat = quakes
createMapHTML <- function(inputFreq=1) {
q.dat <- toGeoJSON(data=dat[seq(from = 1, to = nrow(dat), by=inputFreq), ],
dest=dest_dir, name="quakes")
sty <- styleSingle(col="darkblue", fill="darkblue", rad=6)
# create map
q.map <- leaflet(data=q.dat, dest=dest_dir, size = c(1200, 600), incl.data=TRUE,
base.map=list("osm"), style=sty, popup="*", controls="all")
}
# createMapHTML()
runApp(list(
ui = dashboardPage(
dashboardHeader(title = "quakes"),
dashboardSidebar(
sliderInput("slider", "#observations frequency:", 1, 100, 1)
),
dashboardBody(
htmlOutput("inc")
)
),
server = function(input, output, session) {
createMap <- reactive({
createMapHTML(input$slider)
return(includeHTML(dest_file))
})
output$inc<-renderUI({ createMap() })
}
))
所以 leafletR 包的瓶颈是转换为 GeoJson。此外,嵌入 html 的 "includeHTML & htmlOutput" 解决方法是不稳定的..
为了避免两者,我刚切换到传单包:
## app.R ##
library(shiny)
library(shinydashboard)
library(leaflet)
data(quakes)
dat = quakes
runApp(list(
ui = dashboardPage(
dashboardHeader(title = "quakes"),
dashboardSidebar(
sliderInput("slider", "#observations frequency:", 1, 100, 1)
),
dashboardBody(
leafletOutput("map", height = 600)
)
),
server = function(input, output) {
output$map <- renderLeaflet({
map <- leaflet() %>% addTiles()
map %>% addCircles(data=dat[seq(from = 1, to = nrow(dat), by=input$slider), ], #input$slider
lat = ~lat, lng = ~long, fillOpacity = 1.0)
})
}
))
我有以下一小段代码(更多更少,如所述 HERE)- 我想控制闪亮的滑块显示的点数。你可以看到初始地图在一段时间后加载(观察控制台输出),但它只会在你使用滑块一次后显示。
但我希望在启动 shiny 应用程序期间创建地图后显示它 - 任何提示如何做到这一点?
## app.R ##
library(shiny)
library(shinydashboard)
library(httr)
library(leafletR)
data(quakes)
# dest_dir=tempdir()
dest_dir="foo_map"
dest_file = paste(dest_dir,"quakes","quakes.html",sep="\")
dat = quakes
createMapHTML <- function(inputFreq=1) {
q.dat <- toGeoJSON(data=dat[seq(from = 1, to = nrow(dat), by=inputFreq), ],
dest=dest_dir, name="quakes")
sty <- styleSingle(col="darkblue", fill="darkblue", rad=6)
# create map
q.map <- leaflet(data=q.dat, dest=dest_dir, size = c(1200, 600), incl.data=TRUE,
base.map=list("osm"), style=sty, popup="*", controls="all")
}
# createMapHTML()
runApp(list(
ui = dashboardPage(
dashboardHeader(title = "quakes"),
dashboardSidebar(
sliderInput("slider", "#observations frequency:", 1, 100, 1)
),
dashboardBody(
htmlOutput("inc")
)
),
server = function(input, output, session) {
createMap <- reactive({
createMapHTML(input$slider)
return(includeHTML(dest_file))
})
output$inc<-renderUI({ createMap() })
}
))
所以 leafletR 包的瓶颈是转换为 GeoJson。此外,嵌入 html 的 "includeHTML & htmlOutput" 解决方法是不稳定的..
为了避免两者,我刚切换到传单包:
## app.R ##
library(shiny)
library(shinydashboard)
library(leaflet)
data(quakes)
dat = quakes
runApp(list(
ui = dashboardPage(
dashboardHeader(title = "quakes"),
dashboardSidebar(
sliderInput("slider", "#observations frequency:", 1, 100, 1)
),
dashboardBody(
leafletOutput("map", height = 600)
)
),
server = function(input, output) {
output$map <- renderLeaflet({
map <- leaflet() %>% addTiles()
map %>% addCircles(data=dat[seq(from = 1, to = nrow(dat), by=input$slider), ], #input$slider
lat = ~lat, lng = ~long, fillOpacity = 1.0)
})
}
))