gistools <- div(class="outer",
tags$head(
# Include our custom CSS
includeCSS("ui_layers/style/styles.css"),
includeScript("ui_layers/style/gomap.js")
),
leafletOutput(outputId = "dyMap_gis",width="100%", height="100%"),
# Shiny versions prior to 0.11 should use class="modal" instead.
absolutePanel(id = "controls", class = "panel panel-default", fixed = TRUE,
draggable = TRUE, top = 45, left = "auto", right = 1, bottom = "auto",
width = 420, height = "auto",
titlePanel("NicheToolBox"),
h3('GIS Tools'),
br(),
p("In this section you can perform some basic GIS operations on your Niche layers."),
busyIndicator("Computation In progress",wait = 0),
checkboxInput("up_polygon","Upload your polygon",value = FALSE),
conditionalPanel("input.up_polygon==true",
shinyFilesButton("polygis_user", "Choose a shp file" ,
title = "Please select a shapefile:",
multiple = FALSE,
buttonType = "default",
class = NULL)
),
#HTML('
# <ul style="list-style-type:square">
# <li>PCA</>
# <li>Crop</li>
# <li>Mask</li>
# <li>Map Algebra</li>
# </ul>'),
shiny::radioButtons("gis_options",label = "Select a tool:",
choices = c("Write my niche layers in other raster format"="reformatLayers",
"Crop / Mask my niche layers"="CropMaskLayers",
#"Mask my niche layers"= "maskLayers",
"PCA tranform my niche layers"="pca_transform")),
conditionalPanel("input.gis_options == 'CropMaskLayers'",
shiny::radioButtons("CropMask",label = "Select an operation:",
choices = c("Crop"="gis_crop",
"Mask"="gis_mask"),
selected = "gis_mask"),
selectInput("layers2CropMask","Select layers to be processed:",
choices = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
selected = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
multiple = FALSE),
uiOutput("go_MaskCrop"),
# uiOutput("save_cuts"),
actionButton(inputId = "save_gtoolspoly",label = "Save Polygon",styleclass="primary"),
verbatimTextOutput("coords_gis_polygon"),
radioButtons('raster_format2', 'Select a format to write your layers:',
c('.asc','.bil',
'.tif','.nc',
'.sdat','.img'))
),
conditionalPanel("input.gis_options=='reformatLayers'",
selectInput("layers2reformat","Select layers to be reformated:",
choices = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
selected = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
multiple = TRUE),
radioButtons('raster_format', 'Select a format to write your layers:',
c('.asc','.bil',
'.tif','.nc',
'.sdat','.img')),
uiOutput("reformatDir"),
shiny::actionButton("go_reformat",label = "Go"),
busyIndicator("Computation In progress",wait = 0),
verbatimTextOutput("printLayersInfo")
),
conditionalPanel("input.gis_options=='pca_transform'",
h4("Principal Component Analysis"),
radioButtons("pca_by",label = "Select a way to do a PCA:",
choices = c("From my niche layers"="from_ntblayer",
"From rds file created by ntbox (see spca help):"="from_rds")),
conditionalPanel("input.pca_by=='from_ntblayer'",
selectInput("layers2pc","Select layers to be analyzed:",
choices = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
selected = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
multiple = TRUE)
),
conditionalPanel("input.pca_by=='from_rds'",
fileInput('rds_file',
'Select the rds file that has the PCA metadata (see spca help)')
),
uiOutput("check_projLayers"),
conditionalPanel("input.run_pca_proj==true",
selectInput("layers2proj","Select layers to be analyzed. ntbox will assume that the layers that have the same position in the stack represent the same kind of variables:",
choices = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
selected = "Upload your niche layers and Set a workflow direcotry on the AppSettings section",
multiple = TRUE),
textInput("projLayers_wd","Enter a name for PCA projection layeres directory")
),
radioButtons('pca_format', 'Select a format to write the pca layers:',
c('.asc','.bil',
'.tif','.nc',
'.sdat','.img')),
shiny::actionButton("dopca", "Do PCA"),
busyIndicator("Computation In progress",wait = 0),
plotOutput(outputId = "pca_plot",width = "400px",height = "400px")
)
)
)
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