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app.R
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app.R
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library(shiny)
library(tidyverse)
library(readxl)
library(data.table)
library(gridExtra)
library(plotrix)
library(plotly)
library(Rcpp)
library(vroom)
#Load functions and dataframes
file.paths <- c("functions/CLCA_byStandandYear.R","functions/CLCA_output.R","functions/load_functions.R")
sapply(file.paths,source,.GlobalEnv)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("Treelist",
"Baseline Model",
choices = c("No"=FALSE,"Yes"=TRUE)
),
fileInput("cutlist",
"FVS Cutlist Output",
accept = c("text/csv", "text/comma-separated-values,text/plain",".csv"),
),
fileInput("carbonsummary",
"FVS Carbon Output",
accept = c("text/csv", "text/comma-separated-values,text/plain",".csv"),
),
checkboxInput("carbonE",
"FVS_Carbon_East?",
TRUE
),
selectInput("region",
"Region",
choices = c("Northeast","North Central","Pacific Northwest; Eastside","Pacific Northwest; Westside",
"Pacific Southwest","Rocky Mountain","South Central","Southeast","West")
),
sliderInput("percentE",
"Percent of pulp used for energy",
min = 0,
max = 1,
step = .05,
value = .5
),
sliderInput("per_eff",
"Wood burning effciency",
min = 0,
max = 1,
step = .05,
value = .5),
downloadButton("downloadData", "Download")
),
mainPanel(
# Application title
title = "Carbon Life Cycle Analysis",
# add a waiting message while app loads
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
tags$div("Please Wait While App is Working", id = "UpdateAnimate", class = "loading dots")),
# main barplot
uiOutput('dropdown'),
plotlyOutput("MainPlot"),
# clca table
div(dataTableOutput("Table"),style = "font-size:80%"),
# css code for the moving elipses of the wait message
tags$head(tags$style(type="text/css", "
.loading {
display: inline-block;
overflow: hidden;
height: 1.3em;
margin-top: -0.3em;
line-height: 1.5em;
vertical-align: text-bottom;
box-sizing: border-box;
}
.loading.dots::after {
text-rendering: geometricPrecision;
content: '.\\A..\\A...\\A....';
animation: spin10 2s steps(10) infinite;
animation-duration: 2s;
animation-timing-function: steps(10);
animation-delay: 0s;
animation-iteration-count: infinite;
animation-direction: normal;
animation-fill-mode: none;
animation-play-state: running;
animation-name: spin10;
}
.loading::after {
display: inline-table;
white-space: pre;
text-align: left;
}
@keyframes spin10 { to { transform: translateY(-15.0em); } }
'
"))
)
)
)
server <- function(input, output) {
# Change max import size
options(shiny.maxRequestSize=1000*1024^2)
# create reactive objects to be used in the functions below
CutlistTable <- reactive({
file <- input$cutlist
ext <- tools::file_ext(file$datapath)
validate(need(ext == "csv", "please upload a csv file"))
read_csv(file$datapath, col_types = c("StandID" = "f","Species" = "c"))
})
CSTable <- reactive({
file <- input$carbonsummary
ext <- tools::file_ext(file$datapath)
validate(need(ext == "csv", "please upload a csv file"))
read_csv(file$datapath, col_types = c("StandID" = "f"))
})
clcatable <- reactive({
CLCA_bySY(CutlistTable(),
CarbE = input$carbonE,
Treelist = input$Treelist,
Carbonsummary = CSTable(),
per_energy = input$percentE,
per_ef = input$per_eff,
Region1 = input$region)
})
# use inputs to render bar graph of carbon
output$dropdown <- renderUI({
req(CutlistTable())
selectInput("StandID","Choose Stand",unique(clcatable()$StandID))
})
output$MainPlot <- renderPlotly({
if(input$Treelist == FALSE){
plotData <- clcatable() %>%
filter(StandID == input$StandID)
barfig <- plot_ly(plotData, x = ~years, y = ~inuse_MgCO2e, type = "bar", name = "In Use")%>%
add_trace(y = ~landfill_MgCO2e, name = "landfill")%>%
add_trace(y = ~Harvest_MgCO2e, name = "Harvest Emissions")%>%
add_trace(y = ~Transport_MgCO2e, name = "Transport Emissions")%>%
add_trace(y = ~Manu_MgCO2e, name = "Manufacturing Emissions")%>%
add_trace(y = ~Avoided_MgCO2e, name = "Avoided Emissions")%>%
add_trace(y = ~ForestStocks, name = "Forest Stocks")%>%
add_trace(y = ~NetCO2e, type = "scatter", mode= "lines",
line = list(color = "red"),
name = "MeanNetCO2")%>%
layout(barmode = "relative", paper_bgcolor='rgb(255,255,255)', plot_bgcolor='rgb(229,229,229)',
xaxis = list(title = "Years Since Cut",
gridcolor = 'rgb(255,255,255)',
showgrid = TRUE,
showline = FALSE,
showticklabels = TRUE,
tickcolor = 'rgb(127,127,127)',
ticks = 'outside',
zeroline = FALSE),
yaxis = list(title = "Mean CO2e (Mg)",
gridcolor = 'rgb(255,255,255)',
showgrid = TRUE,
showline = FALSE,
showticklabels = TRUE,
tickcolor = 'rgb(127,127,127)',
ticks = 'outside',
zeroline = FALSE), barmode = "group")
}
})
# use inputs to render carbon table
output$Table <- renderDataTable(
clcatable(),
options = list(scrollY = 300)
)
# use clcatable ractive from above and allow user to download as .csv
output$downloadData <- downloadHandler(
filename = function() {
paste("clca_data","csv", sep=".")
},
content = function(file) {
write.table(clcatable(), file, sep = ",", row.names = FALSE)
}
)
}
# Run the application
shinyApp(ui = ui, server = server)