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我在 R-shiny 中创建了一个应用程序,使用 leaflet.extra 包,我放了一张 map ,我的用户可以在其中绘制多边形,我的目标是能够下载我的用户绘制的多边形作为 GeoJson 或 Shapefil (.shp) 。我的应用程序如下所示:
ui <- fluidPage(
textOutput("text"),leafletOutput("mymap") )
和服务器:
poly<-reactiveValues(poligonos=list()) #save reactiveValues
output$mymap <- renderLeaflet({
leaflet("mymap") %>%
addProviderTiles(providers$Stamen.TonerLite, #map type or map theme. -default($Stame.TonerLite)
options = providerTileOptions(noWrap = TRUE)
)%>% addDrawToolbar(
targetGroup='draw',
editOptions = editToolbarOptions(selectedPathOptions = selectedPathOptions())) %>%
addLayersControl(overlayGroups = c('draw'), options =
layersControlOptions(collapsed=FALSE)) %>%
addStyleEditor()
})
polygons<- eventReactive(input$mymap_draw_all_features, {
features<-input$mymap_draw_all_features
poly$poligonos<-c(poly$poligonos,features)
return(poly$poligonos)
})
名为“polygons”的 eventReactive 函数负责记录绘制的多边形(坐标),但我不知道如何保存它们或转换为 GeoJson 或 shapefile 格式。
最佳答案
您可以获取使用 DrawToolbar 制作的多边形的坐标,并使用它们在 reactiveValues
SpatialPolygonsDataFrame 中创建多边形。您可以将该 SPDF 导出为 shapefile(在下面的示例中,您必须发布到服务器才能使下载选项起作用。它在 R Studio 中不起作用)。
ui <- fluidPage(
textOutput("text"),leafletOutput("mymap"),
downloadButton('downloadData', 'Download Shp'))
--
server<- function(input, output, session) {
output$mymap <- renderLeaflet({
leaflet("mymap") %>%
addProviderTiles(providers$Stamen.TonerLite, #map type or map theme. -default($Stame.TonerLite)
options = providerTileOptions(noWrap = TRUE)) %>%
addDrawToolbar(targetGroup = "drawnPoly",
rectangleOptions = F,
polylineOptions = F,
markerOptions = F,
editOptions = editToolbarOptions(selectedPathOptions = selectedPathOptions()),
circleOptions=F,
polygonOptions=drawPolygonOptions(showArea=TRUE, repeatMode=F , shapeOptions=drawShapeOptions( fillColor="red",clickable = TRUE))) %>%
addStyleEditor()
})
latlongs<-reactiveValues() #temporary to hold coords
latlongs$df2 <- data.frame(Longitude = numeric(0), Latitude = numeric(0))
#########
#empty reactive spdf
value<-reactiveValues()
SpatialPolygonsDataFrame(SpatialPolygons(list()), data=data.frame (notes=character(0), stringsAsFactors = F))->value$drawnPoly
#fix the polygon to start another
observeEvent(input$mymap_draw_new_feature, {
coor<-unlist(input$mymap_draw_new_feature$geometry$coordinates)
Longitude<-coor[seq(1,length(coor), 2)]
Latitude<-coor[seq(2,length(coor), 2)]
isolate(latlongs$df2<-rbind(latlongs$df2, cbind(Longitude, Latitude)))
poly<-Polygon(cbind(latlongs$df2$Longitude, latlongs$df2$Latitude))
polys<-Polygons(list(poly), ID=input$mymap_draw_new_feature$properties$`_leaflet_id`)
spPolys<-SpatialPolygons(list(polys))
#
value$drawnPoly<-rbind(value$drawnPoly,SpatialPolygonsDataFrame(spPolys,
data=data.frame(notes=NA, row.names=
row.names(spPolys))))
###plot upon ending draw
observeEvent(input$mymap_draw_stop, {
#replot it - take off the DrawToolbar to clear the features and add it back and use the values from the SPDF to plot the polygons
leafletProxy('mymap') %>% removeDrawToolbar(clearFeatures=TRUE) %>% removeShape('temp') %>% clearGroup('drawnPoly') %>% addPolygons(data=value$drawnPoly, popup="poly", group='drawnPoly', color="blue", layerId=row.names(value$drawnPoly)) %>%
addDrawToolbar(targetGroup = "drawnPoly",
rectangleOptions = F,
polylineOptions = F,
markerOptions = F,
editOptions = editToolbarOptions(selectedPathOptions = selectedPathOptions()),
circleOptions=F,
polygonOptions=drawPolygonOptions(showArea=TRUE, repeatMode=F , shapeOptions=drawShapeOptions( fillColor="red",clickable = TRUE)))
})
latlongs$df2 <- data.frame(Longitude = numeric(0), Latitude = numeric(0)) #clear df
})
########################
### edit polygons / delete polygons
observeEvent(input$mymap_draw_edited_features, {
f <- input$mymap_draw_edited_features
coordy<-lapply(f$features, function(x){unlist(x$geometry$coordinates)})
Longitudes<-lapply(coordy, function(coor) {coor[seq(1,length(coor), 2)] })
Latitudes<-lapply(coordy, function(coor) { coor[seq(2,length(coor), 2)] })
polys<-list()
for (i in 1:length(Longitudes)){polys[[i]]<- Polygons(
list(Polygon(cbind(Longitudes[[i]], Latitudes[[i]]))), ID=f$features[[i]]$properties$layerId
)}
spPolys<-SpatialPolygons(polys)
SPDF<-SpatialPolygonsDataFrame(spPolys,
data=data.frame(notes=value$drawnPoly$notes[row.names(value$drawnPoly) %in% row.names(spPolys)], row.names=row.names(spPolys)))
value$drawnPoly<-value$drawnPoly[!row.names(value$drawnPoly) %in% row.names(SPDF),]
value$drawnPoly<-rbind(value$drawnPoly, SPDF)
})
observeEvent(input$mymap_draw_deleted_features, {
f <- input$mymap_draw_deleted_features
ids<-lapply(f$features, function(x){unlist(x$properties$layerId)})
value$drawnPoly<-value$drawnPoly[!row.names(value$drawnPoly) %in% ids ,]
})
#write the polys to .shp
output$downloadData<-downloadHandler(
filename = 'shpExport.zip',
content = function(file) {
if (length(Sys.glob("shpExport.*"))>0){
file.remove(Sys.glob("shpExport.*"))
}
proj4string(value$drawnPoly)<-"+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
writeOGR(value$drawnPoly, dsn="shpExport.shp", layer="shpExport", driver="ESRI Shapefile")
zip(zipfile='shpExport.zip', files=Sys.glob("shpExport.*"))
file.copy("shpExport.zip", file)
if (length(Sys.glob("shpExport.*"))>0){
file.remove(Sys.glob("shpExport.*"))
}
}
)
}
--
shinyApp(ui=ui,server=server)
关于r - 如何从 R (Shiny) 下载在 leaflet.draw 中绘制的多边形作为 GeoJson 文件,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44979900/
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