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ui.R
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library(shiny)
options(stringsAsFactors=FALSE)
options(shiny.launch.browser=T)
shinyUI(
navbarPage(
title = div(
em(strong("BFAST Explorer")),
HTML("<small>by Alexandre E. Almeida</small>")
),
windowTitle = "BFAST Explorer",
id = "navbar",
position = "fixed-top",
collapsible = T,
header = {
# load styles.css file with custom styles
tags$head(includeCSS("www/styles.css"))
},
# ---------------------------------------------------- MAP TAB ----
tabPanel(
title = "Map",
icon = icon(name = "map-marker", lib = "font-awesome", class = "fa-lg"),
# set up shinyjs
useShinyjs(),
div(
id = "map-leaflet",
# render a leaflet map on the background
leafletOutput(
outputId = "leaf",
height = "100%"
),
# create a toolbar on top of the map
fixedPanel(
id = "map-toolbar",
class = "panel panel-default",
top = 60,
bottom = "auto",
right = 250,
left = 250,
style="z-index:500;",
# map search query
fluidRow(
column(
4,
HTML('
<div class="form-group shiny-input-container" style="width: 100%;">
<div class="input-group">
<label class="input-group-btn">
<button id="action_search" style="width: 100%;" type="button" class="btn action-button btn-primary">
<i class="fa fa-search"></i>
</button>
</label>
<input id="select_search" type="text" class="form-control" value="" placeholder="Search for a location..."/>
</div>
</div>
'),
# enable "Enter" key press on textInput to activate the search button
tags$script('
$(document).on("keyup", function (e) {
if (e.keyCode == 13) {
$("#action_search").click();
}
});
')
),
# 'insert shape' button
column(
4,
div(
HTML('
<div class="form-group shiny-input-container" style="width: 100%;">
<div class="input-group">
<label id="help_insertShape" class="input-group-btn">
<span class="btn btn-primary btn-file">
<i class="fa fa-upload"></i>
<input id="file_insertShape" name="file_insertShape" type="file" style="display: none;" accept="application/octet-stream,application/zip,.zip"/>
</span>
</label>
<input type="text" class="form-control" placeholder="Upload a shapefile..." readonly="readonly"/>
</div>
<div id="file_insertShape_progress" class="progress progress-striped active shiny-file-input-progress">
<div class="progress-bar"></div>
</div>
</div>
'),
bsTooltip(
id = "help_insertShape",
title = '<div align="justify"><p>The shape must be compressed into a zip with, at least, the <strong>.shp</strong>, <strong>.shx</strong>, <strong>.dbf</strong>, and <strong>.prj</strong> files.</p> The zip file <strong>must</strong> have the same name as its contents.</div>',
placement = "bottom",
trigger = "hover",
options = list(container = "body")
)
)
),
# 'clear all markers' button
column(
4,
bsButton(
inputId = "action_clearMarkers",
label = "Clear Markers",
style = "danger",
icon = icon(name = "trash", lib = "font-awesome"),
width = "100%"
)
)
),
fluidRow(
# select which satellite products to download
column(
6,
selectInput(
inputId = "select_satGet",
label = NULL,
width = "100%",
choices = c(""),
multiple = T
)
),
# 'get data' button
column(
6,
bsButton(
inputId = "action_getTs",
label = "Get Data",
style = "success",
icon = icon(name = "download", lib = "font-awesome"),
width = "100%"
),
# tooltip with data preprocessing description
bsTooltip(
id = "action_getTs",
title = '<div align="justify"><p>The Landsat "Surface Refle- ctance" (SR) product is, by construction, already atmosphe- rically corrected.</p> In addition, the downloaded data is also filtered for cloud effects by using the CFMask algorithm.</div>',
placement = "bottom",
trigger = "hover",
options = list(container = "body")
)
)
),
# output text with download results
htmlOutput(outputId = "text_getTs")
)
)
),
# ----------------------------------------------- ANALYSIS TAB ----
tabPanel(
title = "Analysis",
icon = icon(name = "bar-chart", lib = "font-awesome", class = "fa-lg"),
fluidPage(
# ----------------------------------------- TIME SERIES ---
fixedRow(
style = "margin-top: 71px;",
column(
3,
h3(class = "text-heading", "Visualization"),
# select which satellite products to plot
selectInput(
inputId = "select_satPlot",
label = "Satellite product",
width = "100%",
choices = NULL,
multiple = T
),
# select which band/index to plot
selectInput(
inputId = "select_index",
label = "Data",
width = "100%",
choices = NULL
),
# add a tooltip to select_index warning about mixing bands from different satellites
bsTooltip(
id = "select_index",
title = '<div align="justify">Be careful when comparing <strong>bands</strong> from different satellites.<p></p><hr><em>For more information about Landsat bands, please visit <a href="https://landsat.usgs.gov/what-are-band-designations-landsat-satellites" target="_blank">this link</a>.</em></div>',
placement = "right",
trigger = "focus",
options = list(container = "body")
),
# select which change detection algorithm to run
selectInput(
inputId = "select_chgDet",
label = "Change detection algorithm",
width = "100%",
choices = c("Select the change detection algorithm..." = "", "bfastmonitor", "bfast01", "bfast")
),
# tooltip with brief explanations about the change detection algorithms
bsTooltip(
id = "select_chgDet",
title = '<div align="justify"><strong><div class="text-highlight">bfastmonitor</div></strong>Monitoring for the first break at the end of the time series.<p></p><strong><div class="text-highlight">bfast01</div></strong>Checking for one major break in the time series.<p></p><strong><div class="text-highlight">bfast</div></strong>Time series decomposition and multiple breakpoint detection in trend and seasonal components.<p></p><hr><em>For more information about these algorithms, please visit <a href="http://bfast.r-forge.r-project.org/" target="_blank">this link</a>.</em></div>',
placement = "right",
trigger = "focus",
options = list(container = "body")
),
# buttons to download the data and the plot figures
h5(style = "cursor:default;", strong("Download")),
downloadButton(
outputId = "action_downloadDataRaw",
label = "Data",
class = "btn-primary"
),
bsButton(
inputId = "action_downloadPlotRaw",
label = "Plot",
style = "primary",
icon = icon(name = "download", lib = "font-awesome")
),
# checkbox to show/hide latlong coordinates
checkboxInput(
inputId = "select_showCoords",
label = "Show coordinates?",
value = T,
width = "100%"
)
),
# time series plot and its legend
column(
9,
splitLayout(
cellWidths = c("75%", "25%"),
plotOutput(outputId = "plot_raw", height = 300),
plotOutput(outputId = "plot_raw_legend", height = 300)
)
)
),
# ---------------------------------------- BFASTMONITOR ---
conditionalPanel(
condition = "input.select_chgDet == 'bfastmonitor' && input.select_satPlot != null",
hr(),
fluidRow(
column(
3,
h3(class = "text-heading", "bfastMonitor"),
helpText("Based on", a("bfmApp", href = "https://github.com/loicdtx/bfmApp", target = "_blank"), "by Loïc Dutrieux"),
fluidRow(
# formula parameter
column(
6,
selectInput(
inputId = "select_bfm_formula",
label = "Formula",
width = "100%",
choices = c("trend + harmon", "trend", "harmon"),
selected = "trend + harmon"
)
),
# history period type parameter
column(
6,
selectInput(
inputId = "select_bfm_history",
label = "History period type",
width = "100%",
choices = c("ROC", "BP", "all"),
selected = "ROC"
),
# tooltip with brief explanations about the history period type parameter
bsTooltip(
id = "select_bfm_history",
title = '<div align="justify"><strong><div class="text-highlight">ROC</div></strong>Reverse-ordered CUSUM.<p></p><strong><div class="text-highlight">BP</div></strong>Bai & Perron<br> breakpoint estimation.<p></p><strong><div class="text-highlight">all</div></strong>All available observations.</div>',
placement = "right",
trigger = "focus",
options = list(container = "body")
)
)
),
fluidRow(
# harmonic order parameter (only show if applicable)
column(
6,
conditionalPanel(
condition = "input.select_bfm_formula == 'harmon' | input.select_bfm_formula == 'trend + harmon'",
sliderInput(
inputId = "select_bfm_order",
label = "Harmonic order",
width = "100%",
value = 1,
min = 1,
max = 9,
step = 1
)
)
),
# start of monitoring period parameter
column(
6,
dateInput(
inputId = "select_bfm_monitor",
label = "Start of monitoring",
width = "100%",
format = "yyyy-mm",
startview = "decade"
),
# tooltip with brief explanations about the monitoring period default
bsTooltip(
id = "select_bfm_monitor",
title = '<div align="justify">Defaults to the last<br> 30% of the data.</div>',
placement = "bottom",
options = list(container = "body")
)
)
),
# buttons to download the data and the plot figures
h5(style = "cursor:default;", strong("Download")),
downloadButton(
outputId = "action_downloadDataBfm",
label = "Results",
class = "btn-primary"
),
bsButton(
inputId = "action_downloadPlotBfm",
label = "Plot",
style = "primary",
icon = icon(name = "download", lib = "font-awesome")
)
),
# bfastmonitor plot and its legend
column(
9,
splitLayout(
cellWidths = c("75%", "25%"),
plotOutput(outputId = "plot_bfm", height = 300),
plotOutput(outputId = "plot_bfm_legend", height = 300)
)
)
)
),
# --------------------------------------------- BFAST01 ---
conditionalPanel(
condition = "input.select_chgDet == 'bfast01' && input.select_satPlot != null",
hr(),
fluidRow(
column(
3,
h3(class = "text-heading", "bfast01"),
fluidRow(
# formula parameter
column(
6,
selectInput(
inputId = "select_bf01_formula",
label = "Formula",
width = "100%",
choices = c("trend + harmon", "trend", "harmon"),
selected = "trend + harmon"
)
),
# harmonic order parameter (only show if applicable)
column(
6,
conditionalPanel(
condition = "input.select_bf01_formula == 'harmon' | input.select_bf01_formula == 'trend + harmon'",
sliderInput(
inputId = "select_bf01_order",
label = "Harmonic order",
width = "100%",
value = 1,
min = 1,
max = 1,
step = 1
)
)
)
),
# buttons to download the data and the plot figures
h5(style = "cursor:default;", strong("Download")),
downloadButton(
outputId = "action_downloadDataBf01",
label = "Results",
class = "btn-primary"
),
bsButton(
inputId = "action_downloadPlotBf01",
label = "Plot",
style = "primary",
icon = icon(name = "download", lib = "font-awesome")
)
),
# bfast01 plot and its legend
column(
9,
splitLayout(
cellWidths = c("75%", "25%"),
plotOutput(outputId = "plot_bf01", height = 300),
plotOutput(outputId = "plot_bf01_legend", height = 300)
)
)
)
),
# ----------------------------------------------- BFAST ---
conditionalPanel(
condition = "input.select_chgDet == 'bfast' && input.select_satPlot != null",
hr(),
fluidRow(
column(
3,
h3(class = "text-heading", "bfast"),
fluidRow(
# h parameter (minimal segment size)
column(
6,
sliderInput(
inputId = "select_bfast_h",
label = "h",
width = "100%",
value = 0.15,
step = 0.01,
min = 0.00,
max = 0.50
),
# explanation about what the h parameter means
bsTooltip(
id = "select_bfast_h",
title = '<div align="justify">Minimal segment size between potentially detected breaks.</div>',
placement = "right",
options = list(container = "body")
)
),
# season type parameter
column(
6,
selectInput(
inputId = "select_bfast_season",
label = "Season type",
width = "100%",
choices = c("dummy", "harmonic", "none"),
selected = "dummy"
)
)
),
# buttons to download the data and the plot figures
h5(style = "cursor:default;", strong("Download")),
downloadButton(outputId = "action_downloadDataBfast",
label = "Results",
class = "btn-primary"),
bsButton(
inputId = "action_downloadPlotBfast",
label = "Plot",
style = "primary",
icon = icon(name = "download", lib = "font-awesome")
)
),
# bfast plot and its legend
column(
9,
splitLayout(
cellWidths = c("75%", "25%"),
plotOutput(outputId = "plot_bfast", height = 300),
plotOutput(outputId = "plot_bfast_legend", height = 300)
)
)
)
)
)
),
# ----------------------------------------------- TUTORIAL TAB ----
tabPanel(
title = "Tutorial",
icon = icon(name = "question-circle", lib = "font-awesome", class = "fa-lg"),
fluidPage(
div(style = "max-width: 70%; margin-left: auto; margin-right: auto; margin-top: 71px;",
align = "justify",
includeMarkdown("./md/tutorial.md")
)
)
),
# -------------------------------------------------- ABOUT TAB ----
tabPanel(
title = "About",
icon = icon(name = "info-circle", lib = "font-awesome", class = "fa-lg"),
fluidPage(
div(
style = "margin-left: auto; margin-right: auto; margin-top: 71px; width: 600px;",
div(
align = "center",
HTML('<h1><strong><em>BFAST Explorer</em></strong> <br> <small class = text-highlight>v0.0.3</small></h1>')
),
hr(),
HTML('<h3 class="text-heading"> <i class="fa fa-users"></i> Authors</h3>'),
p(),
div("MSc. Alexandre Esteves Almeida", a(icon("user", lib = "font-awesome"), href = "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4672382A6", target = "_blank"), a(icon("envelope", lib = "font-awesome"), href = "mailto:[email protected]")),
div("Nathalia Menini, Master's Student", a(icon("user", lib = "font-awesome"), href = "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K8200531Y0", target = "_blank"), a(icon("envelope", lib = "font-awesome"), href = "mailto:[email protected]")),
div("Prof. Dr. Jan Verbesselt", a(icon("user", lib = "font-awesome"), href = "https://www.wur.nl/en/Persons/Jan-Verbesselt.htm", target = "_blank")),
div("Prof. Dr. Ricardo da Silva Torres", a(icon("user", lib = "font-awesome"), href = "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4769295A9", target = "_blank")),
hr(),
HTML('<h3 class="text-heading"> <i class="fa fa-university"></i> Development</h3>'),
p(),
div(
align = "center",
div(class = "image-highlight", a(img(src = "logo-tribes.png", height = "80px"), href = "http://www.e-tribes.com.br", target = "_blank")),
p(),
div(class = "image-highlight", a(img(src = "logo-unicamp.svg", height = "80px"), href = "http://www.unicamp.br/unicamp/english/", target = "_blank")),
div(class = "image-highlight", a(img(src = "logo-wur.png", height = "120px"), href = "http://www.wur.nl/en.htm", target = "_blank"))
),
p(),
HTML('This work is a product of the Tribes project, developed within the University of Campinas (UNICAMP) <a href="http://www.ic.unicamp.br/en" target="_blank">Institute of Computing</a> and the Wageningen University & Research (WUR) <a href="http://www.wur.nl/en/Expertise-Services/Chair-groups/Environmental-Sciences/Laboratory-of-Geo-information-Science-and-Remote-Sensing.htm" target="_blank">Laboratory of Geo-information Science and Remote Sensing</a>.'),
hr(),
HTML('<h3 class="text-heading"> <i class="fa fa-handshake-o"></i> Supporters</h3>'),
p(),
div(align = "center",
div(class = "image-highlight", a(img(src = "logo-fapesp.svg", height = "40px"), href = "http://www.fapesp.br/en/", target = "_blank")),
div(style = "display:inline;", HTML("  ")),
div(class = "image-highlight", a(img(src = "logo-ms-research.png", height = "40px"), href = "http://www.fapesp.br/en/5392", target = "_blank")),
div(style = "display:inline;", HTML("  ")),
div(class = "image-highlight", a(img(src = "logo-cnpq.svg", height = "60px"), href = "http://cnpq.br/", target = "_blank"))
)
),
HTML('
<span class="fa-stack hidden-n" style="position: absolute; left: 1px;">
<i class="fa fa-heart fa-stack-2x text-danger"></i>
<strong class="fa-stack-1x fa-inverse" style="margin-top: -.05em;">N</strong>
</span>
')
)
)
)
)