Researchers use 2D and 3D spatial models of multivariate data of differing resolutions and formats. It can be challenging to work with multiple datasets, and it is time consuming to set up a robust, performant grid to handle such spatial models. We share ‘agrid’, a Python module which provides a framework for containing multidimensional data and functionality to work with those data. The module provides methods for defining the grid, data import, visualisation, processing capability and export. To facilitate reproducibility, the grid can point to original data sources and provides support for structured metadata. The module is written in an intelligible high level programming language, and uses well documented libraries as numpy, xarray, dask and rasterio.
Funding
Australian Research Council
History
Publication title
Journal of Open Research Software
Volume
8
Pagination
1-7
ISSN
2049-9647
Department/School
Institute for Marine and Antarctic Studies
Publisher
Ubiquity Press Ltd
Place of publication
United Kingdom
Rights statement
Copyright 2020 the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/