Climate Data

Set-up instructions for `KrigR` and preparations for the workshop.

Introduction to the theory and considerations of climate reanalyses and statistical downscaling applications.

This part of the workshop is meant to give a very brief introduction to KrigR and I highly recommend you peruse the rest of the content, too. -- -- Pre-KrigR Housekeeping Before we can commence the quick start guide, I want to set up a directory structure and prepare some plotting functions to make the rest of the guide run more smoothly.

Preparations for the workshop.

Download specifications and considerations with `KrigR`.

Kriging specifications and considerations with `KrigR`.

Using KrigR to obtain bioclimatic variables.

Using `KrigR` with third-party data.

This part of the workshop is dependant on set-up and preparation done previously here. First, we load KrigR: library(KrigR) I expect that you will often be interested not just in past and current climatic conditions, but also in future projections of climate data at high spatial resolutions.

The future directions for `KrigR`.