/
app.R
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app.R
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library(shiny)
library(shinyjs)
library(sf)
library(dplyr)
library(leaflet)
library(lubridate)
## Geocoding function using OSM Nominatim API
## details: http://wiki.openstreetmap.org/wiki/Nominatim
## made by: D.Kisler
geocode <- function(address = NULL) {
d <- jsonlite::fromJSON(
gsub('\\@addr\\@', gsub('\\s+', '\\%20', address),
'https://nominatim.openstreetmap.org/search/@addr@?format=json&addressdetails=0&limit=1'),
flatten = T)
if(length(d) == 0) return(data.frame())
data.frame(lon = as.numeric(d$lon), lat = as.numeric(d$lat)) %>%
return()
}
# Shapefile for NUTS3 regions
germany_nuts <- readRDS(file.path("data", "germany_nuts3_incidence.RDS"))
if (max(germany_nuts$sieben_tage, na.rm = TRUE) < 300) {
pal_leg <- c("keine Fälle übermittelt", "< 5", "5-25",
"25-50", "50-100", "100-150", "150-250", "> 250")
} else if (max(germany_nuts$sieben_tage, na.rm = TRUE) < 500) {
pal_leg <- c("keine Fälle übermittelt", "< 5", "5-25",
"25-50", "50-100", "100-200", "200-300", "> 300")
} else {
pal_leg <- c("keine Fälle übermittelt", "< 5", "5-25",
"25-50", "50-150", "150-300", "300-500", "> 500")
}
# Define UI -----------------------------------------------------
ui <- bootstrapPage(
theme = bslib::bs_theme(version = 4, bootswatch = "simplex"),
shinyWidgets::setBackgroundColor("#d4dadc"),
useShinyjs(),
tags$style(type = "text/css", "html, body {width:100%;height:100%; font-family: Oswald, sans-serif;} #loadingId{margin: auto;}"),
tags$script(src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/3.5.16/iframeResizer.contentWindow.min.js",
type="text/javascript"),
tags$script(
'
$(document).keyup(function(event) {
if (event.key == "Enter") {
$("#go").click();
}
});
$(document).ready(function () {
navigator.geolocation.getCurrentPosition(onSuccess, onError);
function onError (err) {
Shiny.onInputChange("geolocation", false);
}
function onSuccess (position) {
setTimeout(function () {
var coords = position.coords;
console.log(coords.latitude + ", " + coords.longitude);
Shiny.onInputChange("geolocation", true);
Shiny.onInputChange("lat", coords.latitude);
Shiny.onInputChange("long", coords.longitude);
}, 1100)
}
});
'
),
absolutePanel(
id = "loadingId",
top = "45%", left = 0, right = 0, fixed = TRUE, draggable = FALSE, width = 100, height = "5%", style = "z-index:0; min-width: 40px;",
p("Bitte warten...")
),
leafletOutput("map", height = "100%", width = "100%"),
absolutePanel(
top = 100, left = 10, draggable = TRUE, width = "20%", style = "z-index:500; min-width: 135px;",
textInput("address", "Adresse suchen", placeholder = "in Deutschland"),
checkboxInput("use_location", "Oder nutze deinen aktuellen Standort!"),
actionButton("go", "Suchen!", class = "btn-primary")
),
absolutePanel(
top = "96.5%", left = 5, draggable = FALSE, width = "20%", height = "3%", style = "z-index:500; min-width: 20px;",
a(href="https://github.com/STBrinkmann/Covid19_Dashboard_Germany", "Mehr Infos..", target="_blank")
)
)
# Define server ------------------------------------------------
server <- shinyServer(function(input, output) {
addResourcePath("myPlots", "/srv/shiny-server/Covid_DE_Dashboard/Plots")
# Leaflet map
pal <- c("#D9D9D6", "#BBBCBC", "#FFC27B", "#FF8F1C", "#FE5000", "#A6192E", "#BB29BB")
leafPal1 <- leaflet::colorFactor(pal, germany_nuts$color, na.color = "white")
output$map <- renderLeaflet({
leaflet::leaflet(leaflet::leafletOptions(leaflet::leafletCRS(crsClass = "L.CRS.EPSG4326"))) %>%
addMapPane(name = "polygons", zIndex = 410) %>%
addMapPane(name = "maplabels", zIndex = 420) %>%
setMaxBounds(lng1 = -5,
lat1 = 40,
lng2 = 25,
lat2 = 60) %>%
addProviderTiles("CartoDB.PositronNoLabels",
options = providerTileOptions(minZoom = 5, maxZoom = 11)) %>%
leaflet::addProviderTiles("CartoDB.PositronOnlyLabels",
options = providerTileOptions(minZoom = 5, maxZoom = 11,
pane = "maplabels"),
group = "map labels") %>%
leaflet::setView(10.5, 51, zoom = 6) %>%
leaflet::addPolygons(data = germany_nuts,
stroke = F, fill = TRUE, fillOpacity = 1, weight = 1.2,
color = ~leafPal1(color), label = ~NUTS_NAME,
group = "gadmCHE",
options = leafletOptions(pane = "polygons"),
highlight = highlightOptions(
weight = 3,
color = "black",
opacity = 1,
fillOpacity = 0.9,
bringToFront = TRUE,
sendToBack = TRUE),
popup = paste0(
"
<html>
<head>
<style>
table, th, td {
border-collapse: collapse;
}
th, td {
padding: 1;
text-align: left;
}
tr.spaceUnder>td {
line-height: 2.5;
}
</style>
</head>
<body>
<h5><b>", germany_nuts$NUTS_NAME, "</b></h5>",
"<table style=\"width:100%\">
<tr>
<th></th>
<th></th>
</tr>
<tr class=\"spaceUnder\">
<th>7-Tage-Inzidenz:</th>
<td>", ifelse(!is.na(germany_nuts$sieben_tage), germany_nuts$sieben_tage, "Nicht verfügbar"), "</td>
</tr>
<tr>
<th>Intensivbetten-Auslastung:</th>
<td></td>
</tr>
<tr>
<td> Gesamt</td>
<td>", germany_nuts$DIVI_ges, "</td>
</tr>
<tr>
<td> Davon COVID-19</td>
<td>", ifelse(germany_nuts$DIVI_ges == "Nicht verfügbar",
"Nicht verfügbar", germany_nuts$DIVI_covid), "</td>
</tr>
<tr>
<th><br>7-Tage-Inzidenz<br>der vergangenen 14 Tagen:</th>
<td></td>
</tr>
</table>
<img src=", file.path("myPlots", paste0(germany_nuts$Kennziffer, ".svg")) ," border=0 height=90% width=90%></img>
</body>
</html>
"
)) %>%
leaflet::addPolylines(data = germany_nuts,
color = "#2D2926",
stroke = TRUE,
opacity = 1,
weight = 1,
options = pathOptions(clickable = FALSE, pane = "polygons"),
group = "gadmCHE") %>%
leaflet::addLegend(data = germany_nuts,
"bottomright",
opacity = 1.0,
colors = c("white", pal),
labels = pal_leg,
title = "7-Tage-Inzidenz")
})
# actionButton
shiny::observeEvent(input$go, {
shiny::withProgress(
message = "Suche...",
value = 1/3, {
# Use Geolocaton
if (input$use_location) {
tryCatch({
shiny::validate(
shiny::need(input$geolocation, message = F)
)
if(!input$geolocation) stop()
}, error = function(e) {
shiny::showModal(shiny::modalDialog(title = "Sorry!",
tags$p("Du musst den Standortzugriff erlauben!"),
footer = shiny::modalButton("Abbrechen"),
easyClose = TRUE))
}
)
shiny::validate(
shiny::need(input$geolocation, message = F)
)
lat <- input$lat
lon <- input$long
geo_point <- data.frame(lon = as.numeric(lon), lat = as.numeric(lat))
# Use address input
} else {
shiny::validate(
shiny::need(nchar(input$address) > 2, message = FALSE)
)
tryCatch({
geo_point <- geocode(address = input$address)
if (length(geo_point) == 0) stop()
}, error = function(e) {
shiny::showModal(shiny::modalDialog(title = "Sorry!",
tags$p("Wir konnten diese Adresse nicht finden."),
tags$p("Versuch es noch einmal!"),
footer = shiny::modalButton("Abbrechen"),
easyClose = TRUE))
}
)
shiny::validate(
shiny::need(length(geo_point) > 0, message = FALSE)
)
lat <- geo_point$lat
lon <- geo_point$lon
}
incProgress(1/3)
# Convert input to sf
geo_point <- geo_point %>%
sf::st_as_sf(coords = c("lon", "lat"), crs = sf::st_crs(germany_nuts)) %>%
dplyr::rename(geom = geometry)
# Intersect of NUTS3/LAU and address
landkreis_intersect <- germany_nuts[geo_point, ]
tryCatch({
if (nrow(landkreis_intersect) == 0) stop("Error")
}, error = function(e) {
shiny::showModal(shiny::modalDialog(title = "Sorry!",
tags$p("Diese Adresse scheint nicht innerhalb von Deutschland zu liegen."),
tags$p("Versuch es noch einmal!"),
footer = shiny::modalButton("Abbrechen"),
easyClose = TRUE))
}
)
shiny::validate(
shiny::need(nrow(landkreis_intersect) > 0, message = FALSE)
)
incProgress(1/3)
# Update Leaflet map
runjs('$(".leaflet-popup-close-button")[0].click();')
leaflet::leafletProxy("map") %>%
leaflet::setView(lon, lat, zoom = 10) %>%
leaflet::addPopups(lng = lon, lat = lat,
popup = paste0(
"
<html>
<head>
<style>
table, th, td {
border-collapse: collapse;
}
th, td {
padding: 1;
text-align: left;
}
tr.spaceUnder>td {
line-height: 2.5;
}
</style>
</head>
<body>
<h5><b>", landkreis_intersect$NUTS_NAME, "</b></h5>",
"<table style=\"width:100%\">
<tr>
<th></th>
<th></th>
</tr>
<tr class=\"spaceUnder\">
<th>7-Tage-Inzidenz:</th>
<td>", ifelse(!is.na(landkreis_intersect$sieben_tage), landkreis_intersect$sieben_tage, "Nicht verfügbar"), "</td>
</tr>
<tr>
<th>Intensivbetten-Auslastung:</th>
<td></td>
</tr>
<tr>
<td> Gesamt</td>
<td>", landkreis_intersect$DIVI_ges, "</td>
</tr>
<tr>
<td> Davon COVID-19</td>
<td>", ifelse(landkreis_intersect$DIVI_ges == "Nicht verfügbar",
"Nicht verfügbar", landkreis_intersect$DIVI_covid), "</td>
</tr>
<tr>
<th><br>7-Tage-Inzidenz<br>der vergangenen 14 Tagen:</th>
<td></td>
</tr>
</table>
<img src=", file.path("myPlots", paste0(landkreis_intersect$Kennziffer, ".svg"))," border=0 height=90% width=90%></img>
</body>
</html>
"
))
incProgress(1/3)
}
)
})
})
# Run the application ------------------------------------------
shinyApp(ui = ui, server = server)