Skip to contents

Preview a records or an rtoi object

Usage

rsat_preview(x, n, ...)

# S4 method for rtoi,Date
rsat_preview(x, n, lpos = c(3, 2, 1), add.layer = FALSE, verbose = FALSE, ...)

# S4 method for rtoi,missing
rsat_preview(x, n, lpos = c(3, 2, 1), add.layer = FALSE, verbose = FALSE, ...)

# S4 method for records,Date
rsat_preview(
  x,
  n,
  lpos = c(3, 2, 1),
  tmp_dir = file.path(tempdir()),
  add.layer = FALSE,
  verbose = FALSE,
  get.map = TRUE,
  ...
)

# S4 method for records,numeric
rsat_preview(
  x,
  n,
  lpos = c(3, 2, 1),
  tmp_dir = file.path(tempdir()),
  add.layer = FALSE,
  verbose = FALSE,
  get.map = TRUE,
  ...
)

Arguments

x

a records or an rtoi object.

n

the date expressed as the temporal index in the time series.

...

additional arguments

lpos

vector argument. Defines the position of the red-green-blue layers to enable a false color visualization.

add.layer

logical argument. If TRUE, the function plots the image on an existing map.

verbose

logical argument. If TRUE, the function prints the running steps and warnings.

tmp_dir

character argument. The directory where preview images are located.

get.map

logical argument. If TRUE, the function return the leaflet map.

Value

nothing. Previews the region in the viewer.

Examples

if (FALSE) {
library(rsat)

# load example rtoi
file.copy(from=system.file("ex/Navarre",package="rsat"),
         to=tempdir(),
         recursive = TRUE)

navarre <- read_rtoi(file.path(tempdir(),"Navarre"))

set_credentials("username", "password")
set_database(file.path(tempdir(), "DATABASE"))

# by default the first date in rtoi is previewed
rsat_preview(navarre)


preview.dates <- dates(navarre)
# use add.layer to preview images of several days
rsat_preview(navarre,preview.dates[2],add.layer = TRUE)

# you can also preview records
rcrds <- records(navarre)
rsat_preview(rcrds, n = 1)
}