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app.r
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### peer app ###
# A Shiny web application by Mauricio H. Vancine and Thiago Sanna Freire Silva (2018)
# A product of the Ecosystem Dynamics Observatory
# http://tscanada.wix.com/ecodyn
# 2018-09-12
# Find out more about building applications with Shiny here: http://shiny.rstudio.com/
###-------------------------------------------------------------------------------------###
# memory
rm(list = ls(envir = .GlobalEnv), envir = .GlobalEnv)
# packages
library(shiny)
library(shinyjs)
library(shinydashboard)
library(data.table)
library(DT)
library(tidyverse)
library(leaflet)
library(googlesheets)
###-----------------------------------------------------------------------------------###
# load responses
responses.gs.title <- gs_title("responses")
responses.gs <- gs_read(responses.gs.title)
# fields get saved
fields <- c("class")
# save a response
saveData <- function(data){
data <- as.data.frame(t(data))
if(exists("responses")){
responses <<- rbind(responses, data)
} else{
responses <<- data
}
}
# load all previous responses
loadData <- function(){
if(exists("responses")){
responses
}
}
# use colors
usecolors <- cbind(use = c("Varzea Forest", "Igapo Forest", "Woodlands", "Shrubs",
"Herbaceous", "Urban", "Sand Bank", "Bare Rocks",
"White Water", "Black Water", "Clear Water"),
colors = c("green", "lightgreen", "cadetblue",
"orange", "beige", "black", "red", "gray",
"blue", "darkblue", "lightblue"))
#### shiny app ####
shinyApp(
### ui
shinyUI(
# page
dashboardPage(title = "PEER Mapping",
# title
dashboardHeader(title = "Projeto PEER"),
# side bar
dashboardSidebar(
sidebarMenu(
# menu information
menuItem("Instruções",
tabName = "information",
icon = icon("info-circle")),
# menu mapping
menuItem("Seleção de Amostras",
tabName = "mapping",
icon = icon("globe")),
# menu review
menuItem("Revisão",
tabName = "review",
icon = icon("eye"))
)),
# body
dashboardBody(
tabItems(
## information
tabItem(tabName = "information",
# introduction
column(width = 12,
fluidRow(
box(title = "Instruções",
width = NULL,
includeMarkdown("instructions.md"))))),
## mapping
tabItem(tabName = "mapping",
# map
column(width = 8,
box(width = NULL,
leafletOutput("map", height = 600))),
# class, data and finish
column(width = 4,
fluidRow(
# choose class
box(width = NULL,
title = "Escolha a classe a ser identificada:",
selectInput("class",
"(Antes de clicar, aproxime o zoom até 200 m!)",
choices = usecolors[, 1])),
# data
box(width = NULL,
title = "Pontos Coletados",
dataTableOutput("data")),
# send data to review
box(width = NULL,
title = "Clique aqui para finalizar (não é possível adicionar pontos depois!)",
actionButton("finish", "Finalizar!", width = "100%"))))),
## review
tabItem(tabName = "review",
# map
column(width = 8,
box(width = NULL,
leafletOutput("map_review", height = 600))),
# submit
column(width = 4,
fluidRow(
box(width = NULL,
title = "Plotar pontos ou finalizar envio de dados",
actionButton("submit", "Enviar dados!", width = "49%"),
actionButton("plot", "Desenhar pontos", width = "49%")))),
# data
column(width = 4,
fluidRow(
box(width = NULL,
title = "Revise sua seleção e remova pontos se necessário.",
helpText("Clique em 'Desenhar Pontos' para visualizar os pontos selecionados. É preciso clicar novamente cada vez que um ponto seja excluído.
Ao finalizar, clique em 'Enviar Dados'."),
dataTableOutput("data_review"),
tags$script("$(document).on('click', '#data_review button', function () {
Shiny.onInputChange('lastClickId',this.id);
Shiny.onInputChange('lastClick', Math.random()) });"))))),
## stats
tabItem(tabName = "stats",
# title
column(width = 12,
fluidRow(
box(title = "Stats",
width = NULL,
"Como estamos progredindo?"))),
# stats
column(width = 12,
fluidRow(
valueBox(nrow(responses.gs),
"Responses",
width = 12,
color = "maroon",
icon = icon("globe")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[1, 1]), 2]),
as.character(usecolors[1, 1]),
width = 3,
color = "green",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[2, 1]), 2]),
as.character(usecolors[2, 1]),
width = 3,
color = "olive",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[3, 1]), 2]),
as.character(usecolors[3, 1]),
width = 3,
color = "teal",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[5, 1]), 2]),
as.character(usecolors[4, 1]),
width = 3,
color = "orange",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[6, 1]), 2]),
as.character(usecolors[5, 1]),
width = 3,
color = "yellow",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[7, 1]), 2]),
as.character(usecolors[6, 1]),
width = 3,
color = "black",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[8, 1]), 2]),
as.character(usecolors[7, 1]),
width = 3,
color = "yellow",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[9, 1]), 2]),
as.character(usecolors[8, 1]),
width = 3,
color = "black",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[10, 1]), 2]),
as.character(usecolors[9, 1]),
width = 3,
color = "light-blue",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[11, 1]), 2]),
as.character(usecolors[10, 1]),
width = 3,
color = "navy",
icon = icon("map-marker")),
valueBox(nrow(responses.gs[responses.gs$class == as.character(usecolors[1, 1]), 2]),
as.character(usecolors[11, 1]),
width = 3,
color = "blue",
icon = icon("map-marker"))))))
)
)
),
### server
shinyServer(
function(input, output, session){
### mapping
## icon
icons.response.gs <- awesomeIcons(icon = "check-circle",
library = "fa",
markerColor = as.character(usecolors[usecolors[, 1] == responses.gs$class, 2]))
## map
output$map <- renderLeaflet({
# add map
leaflet() %>%
# add tiles
addTiles() %>%
# specif the tiles
addProviderTiles("Esri.WorldImagery",
group = "Satelite",
options = providerTileOptions(minZoom = 5)) %>%
# layer control
addLayersControl(
baseGroups = c("Satelite", "Basemap"),
options = layersControlOptions(collapsed = TRUE)) %>%
# zoom
setView(-56, -7, zoom = 5.3) %>%
# back zoom
addEasyButton(easyButton(
icon = "fa-globe",
title = "Back zoom",
onClick = JS("function(btn, map){ map.setView([-4, -56], 5); }"))) %>%
# rectangle
addRectangles(
lng1 = -68, lat1 = 0.5,
lng2 = -48, lat2 = -6,
fillColor = "transparent") %>%
# minimap
addMiniMap(
tiles = providers$Esri.WorldStreetMap,
position = "bottomleft",
zoomLevelOffset = -4,
toggleDisplay = TRUE) %>%
# scalebar
addScaleBar(
position = "bottomleft") %>%
# legend
addLegend("bottomright",
labels = usecolors[, 1],
colors = usecolors[, 2],
title = "Land use") %>%
# sample markers
addAwesomeMarkers(lng = responses.gs$lon,
lat = responses.gs$lat,
label = paste0(responses.gs$id, "-", responses.gs$class),
labelOptions = labelOptions(noHide = FALSE, opacity = .5),
icon = icons.response.gs)
})
## click counter
counter <- reactiveValues(countervalue = 0)
## store the click
observeEvent(input$map_click, {
counter$countervalue <- counter$countervalue + 1
data.i <- reactive({
req(input$class)
req(input$map_click)
data <- sapply(fields, function(x) input[[x]])
data <- c(
id = counter$countervalue,
data,
lon = round(input$map_click[[2]], 4),
lat = round(input$map_click[[1]], 4))
})
saveData(data.i())
icons.click.map <- awesomeIcons(icon = "circle",
library = "fa",
iconColor = "gray",
markerColor = as.character(usecolors[usecolors[, 1] == input$class, 2]))
leafletProxy("map") %>%
addAwesomeMarkers(lng = input$map_click$lng,
lat = input$map_click$lat,
label = paste0(counter$countervalue, " - ", input$class),
labelOptions = labelOptions(noHide = FALSE, opacity = .5),
icon = icons.click.map)
})
# show the previous responses
output$data <- renderDataTable({
input$map_click
datatable(loadData(),
rownames = FALSE,
options = list(searching = FALSE, pageLength = 4,
order = list(list(2, "desc"))),
class = "cell-border stripe")
})
### review
## map
output$map_review <- renderLeaflet({
# add map
leaflet() %>%
# add tiles
addTiles() %>%
# specif the tiles
addProviderTiles("Esri.WorldImagery",
group = "Satelite",
options = providerTileOptions(minZoom = 5)) %>%
# layer control
addLayersControl(
baseGroups = c("Satelite", "Basemap"),
options = layersControlOptions(collapsed = TRUE)) %>%
# zoom
setView(-56, -7, zoom = 5.3) %>%
# back zoom
addEasyButton(easyButton(
icon = "fa-globe",
title = "Back zoom",
onClick = JS("function(btn, map){ map.setView([-4, -56], 5); }"))) %>%
# rectangle
addRectangles(
lng1 = -68, lat1 = 0.5,
lng2 = -48, lat2 = -6,
fillColor = "transparent") %>%
# minimap
addMiniMap(
tiles = providers$Esri.WorldStreetMap,
position = "bottomleft",
zoomLevelOffset = -4,
toggleDisplay = TRUE) %>%
# scalebar
addScaleBar(
position = "bottomleft") %>%
# legend
addLegend("bottomright",
labels = usecolors[, 1],
colors = usecolors[, 2],
title = "Land use")
})
## review data
vals <- reactiveValues()
observeEvent(input$finish, {
req(input$finish)
vals$Data <- data.table(loadData())
showModal(modalDialog(
title = "Fim da coleta",
"Coleta finalizada, vá para a aba 'Revisão'!"
))
})
output$data_review <- renderDataTable({
input$finish
req(input$finish)
DT <- vals$Data
DT[["actions"]] <- paste0('<div class="btn-group" role="group" aria-label="Basic example">
<button type="button" class="btn btn-secondary delete" id=delete_', 1:nrow(vals$Data), '>Delete</button>
</div>')
datatable(DT, rownames = FALSE, class = "cell-border stripe", escape = FALSE,
options = list(searching = FALSE, pageLength = 5, order = list(list(2, "desc"))))
})
observeEvent(input$lastClick,
{
if(input$lastClickId %like% "delete")
{
row_to_del <- as.numeric(gsub("delete_", "", input$lastClickId))
vals$Data <- vals$Data[-row_to_del]
}
}
)
## icons in map
observeEvent(input$plot, {
req(input$plot)
leafletProxy(map = "map_review", data = data.table(vals$Data)) %>%
clearMarkers() %>%
addCircleMarkers(
lng = ~as.numeric(as.character(lon)),
lat = ~as.numeric(as.character(lat)),
label = ~as.character(paste0(id, " - ", class)),
color = ~left_join(data.table(use = as.character(vals$Data$class)), data.table(usecolors))[, 2],
opacity = .7,
fill = TRUE,
fillColor = "white",
fillOpacity = 0,
weight = 5,
radius = 8,
labelOptions = labelOptions(noHide = TRUE, opacity = .5))
})
## submit data
dataModal <- function(failed = FALSE){
modalDialog(
title = "Preencha suas informações, para que possamos entrar em contato em caso de dúvidas!",
easyClose = TRUE,
textInput("name", "Nome", placeholder = "Seu nome"),
textInput("email", "E-mail", placeholder = "Seu e-mail"),
textInput("institution", "Instituição", placeholder = "Sua instituição"),
span("Depois de clicar 'OK', aguarde! O envio pode levar alguns segundos."),
if(failed)
div(tags$b("Por favor preencha todos os campos!",
style = "color: red;")),
footer = tagList(
modalButton("Cancelar"),
actionButton("ok", "OK")
)
)
}
# show modal when button is clicked
observeEvent(input$submit, {
showModal(dataModal())
})
# when OK button is pressed, attempt to send the data set
observeEvent(input$ok, {
# check that data object exists and is data frame
if(nzchar(input$name) && nzchar(input$email) && nzchar(input$institution)) {
da.gs <- gs_new(paste('peer',input$name, input$email, input$institution,
sub(" ", "_", gsub(":", "-", as.character(Sys.time())))),
ws_title = paste(input$name, input$email, input$institution, sep = "_"),
input = as.data.table(vals$Data),
trim = TRUE,
verbose = FALSE) %>%
gs_read()
removeModal()
showModal(modalDialog(
title = "Dados Enviados",
"Os dados foram enviados com sucesso! Muito obrigado por sua contribuição!"
))
} else {
showModal(dataModal(failed = TRUE))
}
})
# stop app when close browser
session$onSessionEnded(function() {
stopApp()
})
})
)
###--------------------------------------------------------------------------------###