forked from almeidaxan/bfast-explorer
-
Notifications
You must be signed in to change notification settings - Fork 1
/
ui.R
534 lines (518 loc) · 18.8 KB
/
ui.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
library(shiny)
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$head(includeCSS("www/styles.css"))
},
# ---------------------------------------------------- MAP TAB ----
tabPanel(
title = "Map",
icon = icon(name = "map-marker", lib = "font-awesome", class = "fa-lg"),
# set up shinyjs
useShinyjs(),
div(
id = "map-leaflet",
# render a leaflet map on the background
leafletOutput(
outputId = "leaf",
height = "100%"
),
# create a toolbar on top of the map
fixedPanel(
id = "map-toolbar",
class = "panel panel-default",
top = 60,
bottom = "auto",
right = 250,
left = 250,
# map search query
fluidRow(
column(
4,
HTML('
<div class="form-group shiny-input-container" style="width: 100%;">
<div class="input-group">
<label class="input-group-btn">
<button id="action_search" style="width: 100%;" type="button" class="btn action-button btn-primary">
<i class="fa fa-search"></i>
</button>
</label>
<input id="select_search" type="text" class="form-control" value="" placeholder="Search for a location..."/>
</div>
</div>
'),
# enable "Enter" key press on textInput to activate the search button
tags$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-quote-right"></i> Citation</h3>'),
p(),
"To cite BFAST Explorer in publications, please use",
pre('Alexandre Almeida, Nathalia Menini, Jan Verbesselt, Ricardo Torres (2018). BFAST Explorer: An Effective Tool for Time Series Analysis. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 22-27 July 2018. Valencia, Spain. DOI: 10.1109/IGARSS.2018.8517877.'),
"or, alternatively, the corresponding BibTeX entry described",
a("here", href = "https://github.com/almeidaxan/bfast-explorer#citation", 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>
')
)
)
)
)