我需要采用 中绘制的形状R 传单 Shiny 应用 使用 addDrawToolbar在 leaflet.extras并将它们保存到可以由 重新导入的文件中R 传单 Shiny 应用 晚些时候。
我专注于leaflet.extras信息在GitHub由 Bhaskar Karambelkar 编写，其中列出了为绘制的形状提取数据的命令。如何在 R 中解析出这些数据？
以下代码是我目前可以做的:绘制形状并将它们打印为 .csv或 .txt文件。我已经包括了这两个例子。所以在这段代码中，你 从绘图工具栏中绘制您想要的任何形状，然后点击 Generate Shape List按钮。
它适用于捕获所有形状坐标，但在这些格式中，数据并不像我需要的那样可用。有没有办法解析这些数据，以便在需要时可以重新导入、显示和编辑它？对此的任何见解都非常感谢!
library(shiny)
library(leaflet)
library(leaflet.extras)
library(utils)
sh <- data.frame()
ui <- bootstrapPage(
tags$style(type = "text/css", "html, body {width:100%;height:100%}"),
leafletOutput("mymap", width = "100%", height = "100%"),
absolutePanel(top = 10, right = 10, width = 300,
style = "padding: 8px",
actionButton("printShapes", h5(strong("Generate Shape List")))
)
)
server <- function(input, output, session) {
output$mymap <- renderLeaflet({
leaflet() %>%
addTiles(group = "Default", attribution = 'Map data © <a href="http://openstreetmap.org">OpenStreetMap</a> contributors') %>%
setView(lng = -98, lat = 38, zoom = 4) %>%
addDrawToolbar(targetGroup = "draw", position = "topleft", editOptions = editToolbarOptions(edit=TRUE))
})
# Generate Shape List Action Button
observeEvent(input$printShapes, {
shapedf <- data.frame()
reactive(shapedf)
shapedf <-input$mymap_draw_all_features
sh <<- as.data.frame(shapedf)
sh <- t(sh)
shpwrite <- write.csv(sh, paste0("OUTPUTdrawings",".csv"))
shpwrite1 <- dput(sh, file = "OUTPUTdrawings1.txt")
})
}
shinyApp(ui = ui, server = server)
最佳答案
经过多次思考、焦虑、反复试验，我终于想出了如何做到这一点。不确定这是否是最好的方法，但它有效。
library(shiny)
library(leaflet)
library(leaflet.extras)
library(utils)
sh <- data.frame()
ui <- bootstrapPage(
tags$style(type = "text/css", "html, body {width:100%;height:100%}"),
leafletOutput("mymap", width = "100%", height = "100%"),
absolutePanel(top = 10, right = 10, width = 300,
style = "padding: 8px",
fileInput("drawingFile",h4(strong("Input Drawing CSV")), accept = ".csv"),
actionButton("printShapes", h5(strong("Generate Drawing File")))
)
)
server <- function(input, output, session) {
output$mymap <- renderLeaflet({
leaflet() %>%
addTiles(group = "Default", attribution = 'Map data © <a href="http://openstreetmap.org">OpenStreetMap</a> contributors') %>%
setView(lng = -98, lat = 30, zoom = 4) %>%
addDrawToolbar(targetGroup = "draw", position = "topleft", editOptions = editToolbarOptions(edit=TRUE))
})
# Generate Shape List Action Button
observeEvent(input$printShapes, {
shapedf <- data.frame()
reactive(shapedf)
shapedf <-input$mymap_draw_all_features
sh <<- as.data.frame(shapedf)
# sh <- t(sh) # This is easier to read manually, but not for reading into R.
shpwrite <- write.csv(sh,paste0("Drawings", ".csv"))
})
# Intake Shape CSV
observeEvent(input$drawingFile, {
drawFile <- input$drawingFile
ext <- file_ext(drawFile$datapath)
req(drawFile)
validate(need(ext == "csv", "Please upload a csv file."))
ddf <- read.csv(drawFile$datapath, header = TRUE) # The drawing dataframe
ind <- which(ddf == "Feature") # Index for drawing df to break up the df to redraw the shapes.
ind <- as.array(ind)
for (i in 1:nrow(ind)) {
if(i != nrow(ind)) thisShape <- ddf[ind[i]:ind[i+1]]
else thisShape <- ddf[ind[i]:ncol(ddf)]
#####
if(thisShape[3] == "polyline") {
tf <- array(startsWith(names(thisShape),"features.geometry.coordinates"))
w <- 1
pnts <- array()
for (i in 1:nrow(tf)) {
if(tf[i] == TRUE) {
pnts[w] <- thisShape[i]
w <- w+1
}
}
n <- 1
m <- 1
plng <- array()
plat <- array()
pnts <- as.array(pnts)
for (j in 1:nrow(pnts)) {
if(j %% 2 == 1) {
plng[n] <- pnts[j]
n <- n+1
}
else if(j %% 2 == 0) {
plat[m] <- pnts[j]
m <- m+1
}
}
as.vector(plng, mode = "any")
as.vector(plat, mode = "any")
PL <- data.frame(matrix(unlist(plng)))
PLsub <- data.frame(matrix(unlist(plat)))
PL <- cbind(PL, PLsub)
colnames(PL) <- c("lng","lat")
PL1 <- reactiveVal(PL)
proxy <- leafletProxy("mymap", data = PL1())
proxy %>% addPolylines(lng = ~lng, lat = ~lat, group = "draw")
}
#####
else if(thisShape[3] == "polygon") {
tf <- array(startsWith(names(thisShape),"features.geometry.coordinates"))
w <- 1
pnts <- array()
for (i in 1:nrow(tf)) {
if(tf[i] == TRUE) {
pnts[w] <- thisShape[i]
w <- w+1
}
}
n <- 1
m <- 1
plng <- array()
plat <- array()
pnts <- as.array(pnts)
for (j in 1:nrow(pnts)) {
if(j %% 2 == 1) {
plng[n] <- pnts[j]
n <- n+1
}
else if(j %% 2 == 0) {
plat[m] <- pnts[j]
m <- m+1
}
}
as.vector(plng, mode = "any")
as.vector(plat, mode = "any")
PG <- data.frame(matrix(unlist(plng)))
PGsub <- data.frame(matrix(unlist(plat)))
PG <- cbind(PG, PGsub)
colnames(PG) <- c("lng","lat")
PG1 <- reactiveVal(PG)
proxy <- leafletProxy("mymap", data = PG1())
proxy %>% addPolygons(lng = ~lng, lat = ~lat, group = "draw")
}
#####
else if(thisShape[3] == "rectangle"){
rlng1 <- as.numeric(thisShape[5])
rlat1 <- as.numeric(thisShape[6])
rlng2 <- as.numeric(thisShape[9])
rlat2 <- as.numeric(thisShape[10])
proxy <- leafletProxy("mymap")
proxy %>% addRectangles(lng1 = rlng1, lat1 = rlat1, lng2 = rlng2, lat2 = rlat2,
group = "draw")
}
#####
else if(thisShape[3] == "circle"){
crad <- as.numeric(thisShape[4])
clng <- as.numeric(thisShape[6])
clat <- as.numeric(thisShape[7])
proxy <- leafletProxy("mymap")
proxy %>% addCircles(lng = clng, lat = clat, radius = crad, group = "draw")
}
#####
else if(thisShape[3] == "marker") {
mlng <- as.numeric(thisShape[5])
mlat <- as.numeric(thisShape[6])
proxy <- leafletProxy("mymap")
proxy %>% addMarkers(lng = mlng, lat = mlat, group = "draw")
}
#####
else if(thisShape[3] == "circlemarker") {
cmlng <- as.numeric(thisShape[6])
cmlat <- as.numeric(thisShape[7])
proxy <- leafletProxy("mymap")
proxy %>% addCircleMarkers(lng = cmlng, lat = cmlat, group = "draw")
}
}
})
}
shinyApp(ui = ui, server = server)
关于r - 如何保存在 R Leaflet Shiny map 中绘制的 addDrawToolbar 形状，以便我可以重新导入它们？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/65347690/