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Run the Rwapor Shiny Dashboard

Source: R/run_dashboard.R
run_wapor.Rd

Launches an interactive Shiny application that provides a graphical user interface for configuring and executing WaPOR and AgERA5 data downloads via the wapor_map function.

Usage

run_wapor(
  display.mode = "normal",
  launch.browser = interactive(),
  dev = NULL,
  ...
)

Arguments

display.mode

Character. Passed to shiny::runApp().

launch.browser

Logical. Passed to shiny::runApp().

dev

Logical. If TRUE, forces loading the dashboard from the local inst/shiny directory in the current working directory. If NULL (default), auto-detects if running interactively from the package root. If FALSE, forces loading from the installed package library.

...

Additional arguments passed to shiny::runApp().

Details

The dashboard allows users to:

  • Select variables (WaPOR or AgERA5).

  • Define regions of interest by drawing bounding boxes on a satellite map or by uploading a vector file (.geojson, .gpkg, .kml).

  • Configure output formats, unit conversions, and temporal periods.

  • Preview the exact R code that will be executed.

  • Trigger data downloads directly from the interface.

  • Monitor farm performance during the current growing season using the Monitoring tab, which stores WaPOR time series per farm polygon in a local DuckDB database and displays agronomic stress indicators (ETa/ETp, transpiration fraction, cumulative AETI, NPP).

Monitoring tab

The Monitoring tab requires the duckdb package (install.packages("duckdb")). It:

  1. Accepts a vector file (GeoJSON, GeoPackage, Shapefile) of farm polygons.

  2. Allows the user to select the crop-type column, sowing date, and WaPOR variables to track.

  3. On each "Monitor / Update" click it fetches only the missing dekads (incremental update) and appends them to the local DuckDB file.

  4. Optionally clips and stores AOI raster layers as BLOB objects in the same database for offline visualisation.

  5. Displays a farm map coloured by stress index, per-farm time-series plots, a raster viewer, and a stress dashboard with colour-coded farm performance table.

Examples

if (FALSE) { # \dontrun{
run_wapor()
} # }