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climate-can

climate and productivity

Scratch: html preview.

Note on Targets

Targets is a cool package. It allows you to specify a DAG of tasks, and then run them in parallel. It also allows you to cache the results of tasks, so that if you change one task, it will only re-run the tasks that depend on it.

The keynotes for running this package are:

  1. When you open your R session, run library(targets).
  2. When you want to run the entire pipeline, run tar_make().
  3. When you want to create a single object, run tar_make(object_name).
  4. To call a targets object, use tar_read(object_name).
  5. To see the DAG, run tar_visnetwork().
  6. To load the results of a target into memory, run tar_load(object_name).

What's new?

Added the raw productivity files to the targets script. The files can be loaded more efficiently as they have done here but I am not yet comfortable using targets. I will look at it again tomorrow. The directory issue is resolved but the scratch.qmd is not running fully in my local PC, still struggling with it. Like when I render the file, I don't get this. Need to fix it!

The variable information for climate data are available here.

What's next?

  1. Fix the add_enclosing_polydat() function so that only calculates the enclosing polygon for any given weather station once.

Shell Script to Convert .tif to NetCDF:

#!/bin/bash
for tif in *.tif; do
  nc="${tif%.tif}.nc"
  gdal_translate -of NetCDF "$tif" "$nc"
done