Using the GridR’s core grid resampling API

This guide walks you through GridR’s core grid resampling API, array_grid_resampling, in a series of focused tutorials. Each page is self-contained and executable as a Jupyter notebook — you can follow them in order or jump directly to the topic you need.

Each page declares its prerequisites and ends with a pointer to the next logical step.

Recommended reading order

The pages are ordered for first-time readers below. Use the Previous / Next links at the bottom of each page to navigate sequentially.

  1. Getting started — your first call to array_grid_resampling

  2. Geometric transformations — translation, rotation, zoom

  3. Output control — nodata_out, validity masks, output windows

  4. Masking inputs — grid masks and array masks

  5. B-Spline masking — cardinal B-Spline interpolation and its specifics

  6. Boundary conditions — handling source-array edges

  7. Standalone mode — what GridR does for you automatically

  8. Pipeline integration — disabling standalone for chained workflows

Tutorials