A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing

• Published in: Journal of Open Research Software
• Main Authors: Stål, Tobias, Reading, Anya M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Ubiquity Press 2020
• Subjects: Geophysics; Remonte sensing; Spatial model; Multivariate processing; Python; Regular grid; Antarctic; Antarc*
• Online Access: https://openresearchsoftware.metajnl.com/jms/article/view/287; https://doi.org/10.5334/jors.287

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 statement: This research was supported under Australian Research Council’s Special Research Initiative for Antarctic Gateway Partnership (Project ID SR140300001).