A grid for multidimensional and multivariate spatial representation and data processing.

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Authors

Tobias Stål , Anya M. Reading

Abstract

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 a Python module that provides a framework for containing multidi- mensional 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.

DOI

https://doi.org/10.31223/osf.io/9szfp

Subjects

Computer Sciences, Earth Sciences, Geophysics and Seismology, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics

Keywords

Geophysics, python, grid

Dates

Published: 2019-11-22 21:54

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License

GNU Lesser General Public License (LGPL) 2.1

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