Skip to content

Commit

Permalink
Removed plot select from carbon tracking
Browse files Browse the repository at this point in the history 
Both plots generate now, instead of just selecting one
  • Loading branch information
@ciara-donegan
ciara-donegan committed Jan 31, 2024
1 parent 8a2d40f commit 1d7814c
Showing 1 changed file with 178 additions and 97 deletions.
275 changes: 178 additions & 97 deletions h2/components/modules/mod_tracking.R
View file
Original file line number Diff line number Diff line change
Expand Up @@ -31,40 +31,40 @@ tracking_ui <- function(id) {
"Soil"="Soil"),
selected="Atmosphere"),

prettyRadioButtons(ns("plotSelect"), label="Select plot to view:",
choices = list("Area Plot"=1,
"Animated Bar Plot"=2),
selected=1),
# prettyRadioButtons(ns("plotSelect"), label="Select plot to view:",
# choices = list("Area Plot"=1,
# "Animated Bar Plot"=2),
# selected=1),

prettyRadioButtons(ns("ff"), label="Toggle fossil fuels:",
choices = list("On"=1,"Off"=2)),
bsPopover(ns("ff"), title="",content="Select whether you want fossil fuels to be included (On), or only non-anthropogenic sources of carbon (Off).",
placement = "top", trigger = "hover", options = NULL),

conditionalPanel(
condition = "input.plotSelect == 1",
# conditionalPanel(
# condition = "input.plotSelect == 1",
prettyRadioButtons(ns("view"), label="View:",
choices = list("Carbon Amount"=10,
"Carbon Fraction"=7),
selected = 10),
choices = list("Carbon Amount"=1,
"Carbon Fraction"=2),
selected = 1),
bsPopover(ns("view"), title="",content="Select whether you want to view the total amounts of carbon in each pool (Carbon Amount), or the fraction each pool has of the total amount in the system (Carbon Fraction).",
placement = "top", trigger = "hover", options = NULL),
ns = NS("tracking_1")
),
# ns = NS("tracking_1")
# ),
actionButton(ns("generate"),"Generate"),
downloadButton(ns("downloadGif"),"Download Plot"),
),
mainPanel(
conditionalPanel(
condition = "input.plotSelect == 1",
# conditionalPanel(
# condition = "input.plotSelect == 1",
withSpinner(plotlyOutput(ns("fig"))),
ns = NS("tracking_1")
),
conditionalPanel(
condition = "input.plotSelect == 2",
# ns = NS("tracking_1")
# ),
# conditionalPanel(
# condition = "input.plotSelect == 2",
withSpinner(imageOutput(ns("gif"))),
ns = NS("tracking_1")
)
# ns = NS("tracking_1")
# )
)
)
}
Expand Down Expand Up @@ -127,90 +127,171 @@ tracking_server <- function(id) {
ungroup()

# Plotting
plotSelect <- reactive({input$plotSelect}) # area or bar
view <- reactive({input$view}) # fraction or amount
view <- as.numeric(view())
# plotSelect <- reactive({input$plotSelect}) # area or bar
#view <- reactive({input$view}) # fraction or amount
#view <- as.numeric(view())
#browser()

# Area plot
if (plotSelect() == 1) {
# if (plotSelect() == 1) {

print("Generating plot...")
area_plot <-
plot_ly(
filter(df, source_name == "HL Ocean"),
x = ~ year,
y = ~ source_amt,
name = "HL Ocean",
type = "scatter",
mode = "none",
stackgroup = "one",
fillcolor = "#2C728EFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "LL Ocean"),
y = ~ source_amt,
name = "LL Ocean",
fillcolor = "#3B528BFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Intermediate Ocean"),
y = ~ source_amt,
name = "Intermediate Ocean",
fillcolor = "#472D7BFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Deep Ocean"),
y = ~ source_amt,
name = "Deep Ocean",
fillcolor = "#440154FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Atmosphere"),
y = ~ source_amt,
name = "Atmosphere",
fillcolor = "#21908CFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Vegetation"),
y = ~ source_amt,
name = "Vegetation",
fillcolor = "#27AD81FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Soil"),
y = ~ source_amt,
name = "Soil",
fillcolor = "#5DC863FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Detritus"),
y = ~ source_amt,
name = "Detritus",
fillcolor = "#AADC32FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Fossil Fuels"),
y = ~ source_amt,
name = "Fossil Fuels",
fillcolor = "#FDE725FF"
)
area_plot <-
area_plot %>% layout(title = paste0("Amount of Carbon in ", selectedPool(), " by Source"),
xaxis = list(title=""),
yaxis = list(title="Carbon Pool (Pg C)"))
# Carbon amount
if (input$view == 1) {

print("Generating plot...")
area_plot <-
plot_ly(
filter(df, source_name == "HL Ocean"),
x = ~ year,
y = ~ source_amt,
name = "HL Ocean",
type = "scatter",
mode = "none",
stackgroup = "one",
fillcolor = "#2C728EFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "LL Ocean"),
y = ~ source_amt,
name = "LL Ocean",
fillcolor = "#3B528BFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Intermediate Ocean"),
y = ~ source_amt,
name = "Intermediate Ocean",
fillcolor = "#472D7BFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Deep Ocean"),
y = ~ source_amt,
name = "Deep Ocean",
fillcolor = "#440154FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Atmosphere"),
y = ~ source_amt,
name = "Atmosphere",
fillcolor = "#21908CFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Vegetation"),
y = ~ source_amt,
name = "Vegetation",
fillcolor = "#27AD81FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Soil"),
y = ~ source_amt,
name = "Soil",
fillcolor = "#5DC863FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Detritus"),
y = ~ source_amt,
name = "Detritus",
fillcolor = "#AADC32FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Fossil Fuels"),
y = ~ source_amt,
name = "Fossil Fuels",
fillcolor = "#FDE725FF"
)
area_plot <-
area_plot %>% layout(title = paste0("Amount of Carbon in ", selectedPool(), " by Source"),
xaxis = list(title=""),
yaxis = list(title="Carbon Pool (Pg C)"))
}

# Carbon fraction
if (input$view == 2) {

print("Generating plot...")
area_plot <-
plot_ly(
filter(df, source_name == "HL Ocean"),
x = ~ year,
y = ~ source_fraction,
name = "HL Ocean",
type = "scatter",
mode = "none",
stackgroup = "one",
fillcolor = "#2C728EFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "LL Ocean"),
y = ~ source_fraction,
name = "LL Ocean",
fillcolor = "#3B528BFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Intermediate Ocean"),
y = ~ source_fraction,
name = "Intermediate Ocean",
fillcolor = "#472D7BFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Deep Ocean"),
y = ~ source_fraction,
name = "Deep Ocean",
fillcolor = "#440154FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Atmosphere"),
y = ~ source_fraction,
name = "Atmosphere",
fillcolor = "#21908CFF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Vegetation"),
y = ~ source_fraction,
name = "Vegetation",
fillcolor = "#27AD81FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Soil"),
y = ~ source_fraction,
name = "Soil",
fillcolor = "#5DC863FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Detritus"),
y = ~ source_fraction,
name = "Detritus",
fillcolor = "#AADC32FF"
)
area_plot <-
area_plot %>% add_trace(
data = filter(df, source_name == "Fossil Fuels"),
y = ~ source_fraction,
name = "Fossil Fuels",
fillcolor = "#FDE725FF"
)
area_plot <-
area_plot %>% layout(title = paste0("Fraction of Carbon in ", selectedPool(), " by Source"),
xaxis = list(title=""),
yaxis = list(title="Carbon Pool (Fraction)"))
}

output$fig <- renderPlotly(area_plot)

} else if (plotSelect() == 2) {
# } else if (plotSelect() == 2) {

output$gif <- renderImage({
# Temp file to save output
Expand Down Expand Up @@ -257,7 +338,7 @@ tracking_server <- function(id) {
# height = 300,
# alt = "An animation tracking the sources of carbon in a chosen pool"
)}, deleteFile = TRUE)
}
# }

}) %>%
bindEvent(input$generate)
Expand Down

0 comments on commit 1d7814c

Please sign in to comment.