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A grid for multidimensional and multivariate spatial representation and data processing

Citation

Stal, T and Reading, AM, A grid for multidimensional and multivariate spatial representation and data processing, Journal of Open Research Software, 8, (1) Article 2. ISSN 2049-9647 (2020) [Refereed Article]


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Copyright Statement

Copyright 2020 the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.5334/jors.287

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 Ďagridí, 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.

Item Details

Item Type:Refereed Article
Keywords:spatial model, multivariate processing, python, regular grid
Research Division:Earth Sciences
Research Group:Geophysics
Research Field:Geophysics not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Stal, T (Mr Tobias Staal)
UTAS Author:Reading, AM (Professor Anya Reading)
ID Code:139134
Year Published:2020
Funding Support:Australian Research Council (SR140300001)
Deposited By:Physics
Deposited On:2020-05-27
Last Modified:2020-06-23
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