app.R
In zappingseb/omanymore:
# ideas:
# * get geos work to search for points in the map
# Try to get the routes between places by order in the table
# Make uploading a table possible
# Get rid of KML, instead manage the routes with the app itself
library(here)
library(R6)
library(shiny)
library(leaflet)
library(RColorBrewer)
library(XML)
library(maptools)
library(rhandsontable)
library(stringr)
library(shinyjs)
#library(rgdal); library(XML)
#
## SET WORKING DIRECTORY FIRST!!
#dir <- getwd()
#
#kmlfilelist <- list.files(dir, pattern =".kml$", full.names=TRUE, recursive=FALSE)
#
#ImportKml <- function (kmlfile) {
# doc0 <- xmlTreeParse(kmlfile, useInternal = TRUE)
# rootNode0 <- xmlRoot(doc0)
# rootName0 <- xmlName(rootNode0)
# element1Name0 <- names(rootNode0)
#
# kmlNodeNames <- unname(names(rootNode0[1][[1]]))
# kmlFolderNodeNum <- which(kmlNodeNames == "Folder")
# kmlFolderNodeName <- xmlValue(rootNode0[[1]][[kmlFolderNodeNum]][[1]])
#
# kmlIn <- readOGR(dsn=kmlfile, layer = kmlFolderNodeName)
#}
# ImportedKmls <- lapply(kmlfilelist, ImportKml)
#addTiles = function (map, urlTemplate = "http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
# attribution = NULL, layerId = NULL, group = NULL, options = tileOptions())
#{
# options$attribution = attribution
# if (missing(urlTemplate) && is.null(options$attribution))
# options$attribution = paste("? <a href='http://openstreetmap.org'>OpenStreetMap",
# "contributors, <a href='http://creativecommons.org/licenses/by-sa/2.0/\'>CC-BY-SA")
# invokeMethod(map, getMapData(map), "addTiles", urlTemplate,
# layerId, group, options)
#}
# quakes data
#lat long depth mag stations
#1 -20.42 181.62 562 4.8 41
#2 -20.62 181.03 650 4.2 15
#3 -26.00 184.10 42 5.4 43
#4 -17.97 181.66 626 4.1 19
#5 -20.42 181.96 649 4.0 11
#6 -19.68 184.31 195 4.0 12
source("test_googlesheets.R")
source("kml_handling.R")
source("switchButton.R")
ui <- bootstrapPage(
useShinyjs(),
tags$style(type = "text/css", "html, body {width:100%;height:100%}"),
tags$head(includeCSS(here("www/css/button.css"))),
fluidPage(
fluidRow(
column(12, div(style = "width: 100%; max-height: 300px;position:fixed;top:0px;z-index:8",
leafletOutput("leaflet_map",width="100%",height="100%")),style="z-index:2"),
column(12, div(style="width:100%;margin-left:10px;margin-right:10px;margin-top:10px;z-index:2",
uiOutput("table_container")),style="z-index:1")
)
),
absolutePanel(top = 0, id="menu",right = 0,width="200px",fixed=T,style="z-index:10;background-color:white;display:none;padding:20px;padding-top:70px",
fluidPage(
fluidRow(
column(12,
switchButton(inputId = "map_switch",
label = "Show on Map?",
value = FALSE, col = "GB", type = "TF")),
column(12,
switchButton(inputId = "route_switch",
label = "Show whole Route?",
value = TRUE, col = "GB", type = "TF")),
column(12,div(
tags$label("Reset to the whole Trip?"),
tags$br(),
actionButton("map_reset","Reset")
))
)
)
# ,verbatimTextOutput('selected')
),
absolutePanel(
top = 0,
right = 0,
fixed=T,
style="z-index:10;margin:20px;",
actionButton("menu_in_out","Menu"))
)
server <- function(input, output, session) {
kml_file <- KMLDocument$new(filename=here("/www/kmls/oman_route.kml"),ignore_altitude=TRUE)
map_data_reactive <- kml_file$xml_data[1][[1]]
map_data_reactive <- as.data.frame(apply(map_data_reactive,2,as.numeric))
# sheets <- GoogleTable$new("https://docs.google.com/spreadsheets/d/16O1MSjRnD5epMqHIpKFQvp2o7jsrH1kYfBo3a2hj6T8/edit?usp=sharing")
view_data <- read.csv(here("www","oman_info.csv"),header=T,stringsAsFactors = F,na.strings = "")
# data.frame(sheets$list_of_sheets[["Oman_info"]])
# Reactive expression for the data subsetted to what the user selected
filteredData_by_table <- reactive({
if(!is.null(input$table_select$select$r)){
quakes <- view_data
quakes[
input$table_select$select$r,
]
}else{
NULL
}
})
filteredData_by_table_upper_lower <- reactive({
if(!is.null(input$table_select$select$r)){
quakes <- view_data
rows_with_info <- which(!is.na(quakes$GPS.lat))
first_row_above <- max(rows_with_info[which(rows_with_info < input$table_select$select$r)],na.rm=T)
first_row_behind <- min(rows_with_info[which(rows_with_info > input$table_select$select$r)],na.rm=T)
if(first_row_above==-Inf || first_row_behind==-Inf || first_row_behind==Inf || first_row_above==Inf){
NULL
}else{
quakes[c(first_row_above,first_row_behind),]
}
}else{
NULL
}
})
# circles when a new color is chosen) should be performed in
# an observer. Each independent set of things that can change
# should be managed in its own observer.
# observe({
# pal <- colorpal()
#
# leafletProxy("map", data = filteredData()) %>%
# clearShapes() %>%
# addCircleMarkers(lat=~lat,lng=~long, radius = ~stations*5, color = "#777777",
# fillColor = ~pal(stations), fillOpacity = 0.9, popup = ~paste(stations)
# )
# })
#
# # Use a separate observer to recreate the legend as needed.
# observe({
# proxy <- leafletProxy("map", data = quakes_reactive())
#
# # Remove any existing legend, and only if the legend is
# # enabled, create a new one.
# proxy %>% clearControls()
# if (input$legend) {
# pal <- colorpal()
# proxy %>% addLegend(position = "bottomright",
# pal = pal, values = ~stations
# )
# }
# })
output$table=
renderRHandsontable(
rhandsontable(data=view_data,
selectCallback = TRUE,
readOnly = TRUE,
width="100%",
height="100%")%>%hot_table(stretchH = "all",zindex="1")%>%
hot_cols(colWidths = rep(70,ncol(view_data)))
)
# output$selected=renderPrint({
# cat('Selected Row:',input$table_select$select$r)
# cat('\nSelected Column:',input$table_select$select$c)
# cat('\nSelected Cell Value:',
# input$table_select$data[[
# input$table_select$select$r]][[input$table_select$select$c]])
# cat('\nSelected Range: R',input$table_select$select$r,
# 'C',input$table_select$select$c,':R',input$table_select$select$r2,
# 'C',input$table_select$select$c2,sep="")
# cat('\nChanged Cell Row Column:',input$table$changes$changes[[1]][[1]],
# input$table$changes$changes[[1]][[2]])
# cat('\nChanged Cell Old Value:',input$table$changes$changes[[1]][[3]])
# cat('\nChanged Cell New Value:',input$table$changes$changes[[1]][[4]])
# })
output$table_container <- renderUI({
div(rHandsontableOutput("table"))
})
output$leaflet_map <- renderLeaflet({
leaflet(data = map_data_reactive,height="300px") %>% addTiles() %>%
fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat)) %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
})
# Map Switch Observer
observe({
if(input$map_switch){
js_code <-"$( '#leaflet_map' ).css('height','300px');"
shinyjs::runjs(js_code)
shinyjs::runjs("$('#table_container').css('margin-top','300px');")
if(input$route_switch){
if(!is.null(input$table_select$select$r)){
leafletProxy("leaflet_map", data = map_data_reactive) %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
}else{
output$leaflet_map <-
renderLeaflet({
leaflet(data = map_data_reactive,height="300px") %>% addTiles() %>%
#fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat)) %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
})
}
}else{
leafletProxy("leaflet_map", data = map_data_reactive) %>%
removeShape("overall")
# output$leaflet_map <-
# renderLeaflet({
# leaflet(data = map_data_reactive,height="300px") %>% addTiles() %>%
# fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat))
# })
}
}else{
output$leaflet_map <- renderLeaflet({
NULL
})
shinyjs::runjs("$('#table_container').css('margin-top','0px');")
}
})
# Table click observer
observeEvent({input$table_select$select$r},{
# Get a selected row
if(!is.null(filteredData_by_table())){
# If the row contains Geo Data highlight it on the map
if(!is.na(filteredData_by_table()$GPS.lat)){
print(filteredData_by_table()$GPS.lat)
leafletProxy("leaflet_map", data = filteredData_by_table()) %>%
removeMarkerFromCluster(layerId = "11_red",clusterId="1") %>%
addMarkers(lat=~as.numeric(GPS.lat),lng=~as.numeric(GPS.long),layerId="11_red", clusterId="1")
#, radius = 50, color = "#777777",
# fillColor = "red",fillOpacity = 0.9, popup = "test"
# )
}else{
if(!is.na(filteredData_by_table()$Wohin)){
geo_data <- data.frame(lon=NA,lat=NA)#ggmap::geocode(filteredData_by_table()$Wohin)
if(!is.na(geo_data$lon)){
leafletProxy("leaflet_map", data = geo_data) %>%
removeMarkerFromCluster(layerId = "11_red",clusterId="1") %>%
addCircleMarkers(lat=~as.numeric(lat),lng=~as.numeric(lon), radius = 50, color = "#777777",
fillColor = "red", layerId="11_red", clusterId="1",fillOpacity = 0.9, popup = "test"
)
}else{
showNotification("Finding Route between points...",duration=5,type="error",id="waiter")
# Get the point on the route before and after the selected row
routing_points_table <- filteredData_by_table_upper_lower()
# Derive the route between the point before and after the selected row in the table
if(!is.null(routing_points_table)){
routing_table <- kml_file$get_route_between_two_points(kml_file,
as.numeric(routing_points_table$GPS.long[1]),
as.numeric(routing_points_table$GPS.lat[1]),
as.numeric(routing_points_table$GPS.long[2]),
as.numeric(routing_points_table$GPS.lat[2]))
routing_table <- as.data.frame(apply(routing_table[[1]],2,as.numeric))
names(routing_table)<-c("long","lat")
# Update the lealet map to the route found and
# Display just the route
if(input$route_switch){
output$leaflet_map <- renderLeaflet({
leaflet(data = routing_table,height="300px") %>% addTiles() %>%
fitBounds(~min(long)-0.001, ~min(lat)-0.001, ~max(long)+0.001, ~max(lat)+0.001) %>%
clearShapes() %>%
addPolylines(data = routing_table, lng = ~long, lat = ~lat,label="high_route",color="#F00",layerId="route") %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
})
}else{
output$leaflet_map <- renderLeaflet({
leaflet(data = routing_table,height="300px") %>% addTiles() %>%
fitBounds(~min(long)-0.001, ~min(lat)-0.001, ~max(long)+0.001, ~max(lat)+0.001) %>%
clearShapes() %>%
removeShape("overall") %>%
addPolylines(data = routing_table, lng = ~long, lat = ~lat,label="high_route",color="#F00",layerId="route")
})
}
removeNotification(id="waiter")
}else{
showNotification("No route could be found",duration=5,type="error")
}
}#if geodata is na
}# if Wohin is na
}# if GPS.lat is na
}# if is NULL Table
})
observeEvent({input$map_reset},{
if(input$map_switch){
leafletProxy("leaflet_map", data = map_data_reactive) %>%
fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat))
}
})
observeEvent({
input$menu_in_out
},{
shinyjs::runjs('
$("#menu").toggle();
'
)
})
#
}
shinyApp(ui,server)
zappingseb/omanymore documentation built on May 7, 2019, 9:48 p.m.
R Package Documentation
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# ideas:
# * get geos work to search for points in the map
# Try to get the routes between places by order in the table
# Make uploading a table possible
# Get rid of KML, instead manage the routes with the app itself
library(here)
library(R6)
library(shiny)
library(leaflet)
library(RColorBrewer)
library(XML)
library(maptools)
library(rhandsontable)
library(stringr)
library(shinyjs)
#library(rgdal); library(XML)
#
## SET WORKING DIRECTORY FIRST!!
#dir <- getwd()
#
#kmlfilelist <- list.files(dir, pattern =".kml$", full.names=TRUE, recursive=FALSE)
#
#ImportKml <- function (kmlfile) {
# doc0 <- xmlTreeParse(kmlfile, useInternal = TRUE)
# rootNode0 <- xmlRoot(doc0)
# rootName0 <- xmlName(rootNode0)
# element1Name0 <- names(rootNode0)
#
# kmlNodeNames <- unname(names(rootNode0[1][[1]]))
# kmlFolderNodeNum <- which(kmlNodeNames == "Folder")
# kmlFolderNodeName <- xmlValue(rootNode0[[1]][[kmlFolderNodeNum]][[1]])
#
# kmlIn <- readOGR(dsn=kmlfile, layer = kmlFolderNodeName)
#}
# ImportedKmls <- lapply(kmlfilelist, ImportKml)
#addTiles = function (map, urlTemplate = "http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
# attribution = NULL, layerId = NULL, group = NULL, options = tileOptions())
#{
# options$attribution = attribution
# if (missing(urlTemplate) && is.null(options$attribution))
# options$attribution = paste("? <a href='http://openstreetmap.org'>OpenStreetMap",
# "contributors, <a href='http://creativecommons.org/licenses/by-sa/2.0/\'>CC-BY-SA")
# invokeMethod(map, getMapData(map), "addTiles", urlTemplate,
# layerId, group, options)
#}
# quakes data
#lat long depth mag stations
#1 -20.42 181.62 562 4.8 41
#2 -20.62 181.03 650 4.2 15
#3 -26.00 184.10 42 5.4 43
#4 -17.97 181.66 626 4.1 19
#5 -20.42 181.96 649 4.0 11
#6 -19.68 184.31 195 4.0 12
source("test_googlesheets.R")
source("kml_handling.R")
source("switchButton.R")
ui <- bootstrapPage(
useShinyjs(),
tags$style(type = "text/css", "html, body {width:100%;height:100%}"),
tags$head(includeCSS(here("www/css/button.css"))),
fluidPage(
fluidRow(
column(12, div(style = "width: 100%; max-height: 300px;position:fixed;top:0px;z-index:8",
leafletOutput("leaflet_map",width="100%",height="100%")),style="z-index:2"),
column(12, div(style="width:100%;margin-left:10px;margin-right:10px;margin-top:10px;z-index:2",
uiOutput("table_container")),style="z-index:1")
)
),
absolutePanel(top = 0, id="menu",right = 0,width="200px",fixed=T,style="z-index:10;background-color:white;display:none;padding:20px;padding-top:70px",
fluidPage(
fluidRow(
column(12,
switchButton(inputId = "map_switch",
label = "Show on Map?",
value = FALSE, col = "GB", type = "TF")),
column(12,
switchButton(inputId = "route_switch",
label = "Show whole Route?",
value = TRUE, col = "GB", type = "TF")),
column(12,div(
tags$label("Reset to the whole Trip?"),
tags$br(),
actionButton("map_reset","Reset")
))
)
)
# ,verbatimTextOutput('selected')
),
absolutePanel(
top = 0,
right = 0,
fixed=T,
style="z-index:10;margin:20px;",
actionButton("menu_in_out","Menu"))
)
server <- function(input, output, session) {
kml_file <- KMLDocument$new(filename=here("/www/kmls/oman_route.kml"),ignore_altitude=TRUE)
map_data_reactive <- kml_file$xml_data[1][[1]]
map_data_reactive <- as.data.frame(apply(map_data_reactive,2,as.numeric))
# sheets <- GoogleTable$new("https://docs.google.com/spreadsheets/d/16O1MSjRnD5epMqHIpKFQvp2o7jsrH1kYfBo3a2hj6T8/edit?usp=sharing")
view_data <- read.csv(here("www","oman_info.csv"),header=T,stringsAsFactors = F,na.strings = "")
# data.frame(sheets$list_of_sheets[["Oman_info"]])
# Reactive expression for the data subsetted to what the user selected
filteredData_by_table <- reactive({
if(!is.null(input$table_select$select$r)){
quakes <- view_data
quakes[
input$table_select$select$r,
]
}else{
NULL
}
})
filteredData_by_table_upper_lower <- reactive({
if(!is.null(input$table_select$select$r)){
quakes <- view_data
rows_with_info <- which(!is.na(quakes$GPS.lat))
first_row_above <- max(rows_with_info[which(rows_with_info < input$table_select$select$r)],na.rm=T)
first_row_behind <- min(rows_with_info[which(rows_with_info > input$table_select$select$r)],na.rm=T)
if(first_row_above==-Inf || first_row_behind==-Inf || first_row_behind==Inf || first_row_above==Inf){
NULL
}else{
quakes[c(first_row_above,first_row_behind),]
}
}else{
NULL
}
})
# circles when a new color is chosen) should be performed in
# an observer. Each independent set of things that can change
# should be managed in its own observer.
# observe({
# pal <- colorpal()
#
# leafletProxy("map", data = filteredData()) %>%
# clearShapes() %>%
# addCircleMarkers(lat=~lat,lng=~long, radius = ~stations*5, color = "#777777",
# fillColor = ~pal(stations), fillOpacity = 0.9, popup = ~paste(stations)
# )
# })
#
# # Use a separate observer to recreate the legend as needed.
# observe({
# proxy <- leafletProxy("map", data = quakes_reactive())
#
# # Remove any existing legend, and only if the legend is
# # enabled, create a new one.
# proxy %>% clearControls()
# if (input$legend) {
# pal <- colorpal()
# proxy %>% addLegend(position = "bottomright",
# pal = pal, values = ~stations
# )
# }
# })
output$table=
renderRHandsontable(
rhandsontable(data=view_data,
selectCallback = TRUE,
readOnly = TRUE,
width="100%",
height="100%")%>%hot_table(stretchH = "all",zindex="1")%>%
hot_cols(colWidths = rep(70,ncol(view_data)))
)
# output$selected=renderPrint({
# cat('Selected Row:',input$table_select$select$r)
# cat('\nSelected Column:',input$table_select$select$c)
# cat('\nSelected Cell Value:',
# input$table_select$data[[
# input$table_select$select$r]][[input$table_select$select$c]])
# cat('\nSelected Range: R',input$table_select$select$r,
# 'C',input$table_select$select$c,':R',input$table_select$select$r2,
# 'C',input$table_select$select$c2,sep="")
# cat('\nChanged Cell Row Column:',input$table$changes$changes[[1]][[1]],
# input$table$changes$changes[[1]][[2]])
# cat('\nChanged Cell Old Value:',input$table$changes$changes[[1]][[3]])
# cat('\nChanged Cell New Value:',input$table$changes$changes[[1]][[4]])
# })
output$table_container <- renderUI({
div(rHandsontableOutput("table"))
})
output$leaflet_map <- renderLeaflet({
leaflet(data = map_data_reactive,height="300px") %>% addTiles() %>%
fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat)) %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
})
# Map Switch Observer
observe({
if(input$map_switch){
js_code <-"$( '#leaflet_map' ).css('height','300px');"
shinyjs::runjs(js_code)
shinyjs::runjs("$('#table_container').css('margin-top','300px');")
if(input$route_switch){
if(!is.null(input$table_select$select$r)){
leafletProxy("leaflet_map", data = map_data_reactive) %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
}else{
output$leaflet_map <-
renderLeaflet({
leaflet(data = map_data_reactive,height="300px") %>% addTiles() %>%
#fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat)) %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
})
}
}else{
leafletProxy("leaflet_map", data = map_data_reactive) %>%
removeShape("overall")
# output$leaflet_map <-
# renderLeaflet({
# leaflet(data = map_data_reactive,height="300px") %>% addTiles() %>%
# fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat))
# })
}
}else{
output$leaflet_map <- renderLeaflet({
NULL
})
shinyjs::runjs("$('#table_container').css('margin-top','0px');")
}
})
# Table click observer
observeEvent({input$table_select$select$r},{
# Get a selected row
if(!is.null(filteredData_by_table())){
# If the row contains Geo Data highlight it on the map
if(!is.na(filteredData_by_table()$GPS.lat)){
print(filteredData_by_table()$GPS.lat)
leafletProxy("leaflet_map", data = filteredData_by_table()) %>%
removeMarkerFromCluster(layerId = "11_red",clusterId="1") %>%
addMarkers(lat=~as.numeric(GPS.lat),lng=~as.numeric(GPS.long),layerId="11_red", clusterId="1")
#, radius = 50, color = "#777777",
# fillColor = "red",fillOpacity = 0.9, popup = "test"
# )
}else{
if(!is.na(filteredData_by_table()$Wohin)){
geo_data <- data.frame(lon=NA,lat=NA)#ggmap::geocode(filteredData_by_table()$Wohin)
if(!is.na(geo_data$lon)){
leafletProxy("leaflet_map", data = geo_data) %>%
removeMarkerFromCluster(layerId = "11_red",clusterId="1") %>%
addCircleMarkers(lat=~as.numeric(lat),lng=~as.numeric(lon), radius = 50, color = "#777777",
fillColor = "red", layerId="11_red", clusterId="1",fillOpacity = 0.9, popup = "test"
)
}else{
showNotification("Finding Route between points...",duration=5,type="error",id="waiter")
# Get the point on the route before and after the selected row
routing_points_table <- filteredData_by_table_upper_lower()
# Derive the route between the point before and after the selected row in the table
if(!is.null(routing_points_table)){
routing_table <- kml_file$get_route_between_two_points(kml_file,
as.numeric(routing_points_table$GPS.long[1]),
as.numeric(routing_points_table$GPS.lat[1]),
as.numeric(routing_points_table$GPS.long[2]),
as.numeric(routing_points_table$GPS.lat[2]))
routing_table <- as.data.frame(apply(routing_table[[1]],2,as.numeric))
names(routing_table)<-c("long","lat")
# Update the lealet map to the route found and
# Display just the route
if(input$route_switch){
output$leaflet_map <- renderLeaflet({
leaflet(data = routing_table,height="300px") %>% addTiles() %>%
fitBounds(~min(long)-0.001, ~min(lat)-0.001, ~max(long)+0.001, ~max(lat)+0.001) %>%
clearShapes() %>%
addPolylines(data = routing_table, lng = ~long, lat = ~lat,label="high_route",color="#F00",layerId="route") %>%
addPolylines(data = map_data_reactive, lng = ~long, lat = ~lat,layerId="overall")
})
}else{
output$leaflet_map <- renderLeaflet({
leaflet(data = routing_table,height="300px") %>% addTiles() %>%
fitBounds(~min(long)-0.001, ~min(lat)-0.001, ~max(long)+0.001, ~max(lat)+0.001) %>%
clearShapes() %>%
removeShape("overall") %>%
addPolylines(data = routing_table, lng = ~long, lat = ~lat,label="high_route",color="#F00",layerId="route")
})
}
removeNotification(id="waiter")
}else{
showNotification("No route could be found",duration=5,type="error")
}
}#if geodata is na
}# if Wohin is na
}# if GPS.lat is na
}# if is NULL Table
})
observeEvent({input$map_reset},{
if(input$map_switch){
leafletProxy("leaflet_map", data = map_data_reactive) %>%
fitBounds(~min(long), ~min(lat), ~max(long), ~max(lat))
}
})
observeEvent({
input$menu_in_out
},{
shinyjs::runjs('
$("#menu").toggle();
'
)
})
#
}
shinyApp(ui,server)
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