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SRS-GDA: A spatial random sampling toolbox for grid-based hydro-climatic data analysis in environmental change studies

Han Wang, Yunqing Xuan Orcid Logo

Environmental Modelling & Software, Volume: 124, Start page: 104598

Swansea University Author: Yunqing Xuan Orcid Logo

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DOI (Published version): 10.1016/j.envsoft.2019.104598

Abstract

We present in this paper the development of a new, open-source MATLAB toolbox SRS-GDA that aims to providerandom spatial sampling of grid-based hydro-climatic datasets for environmental change studies. This toolboxaddresses the needs of quantifying how hydro-climatic responses, which are often drive...

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Published in: Environmental Modelling & Software
ISSN: 1364-8152
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa52972
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Abstract: We present in this paper the development of a new, open-source MATLAB toolbox SRS-GDA that aims to providerandom spatial sampling of grid-based hydro-climatic datasets for environmental change studies. This toolboxaddresses the needs of quantifying how hydro-climatic responses, which are often driven by grid-based forcingdatasets such as climate model projections, vary with location and scale. The toolbox can be used to carry outrandom spatial sampling of grid-based quantities with various constraints: shape, size, location, dominantorientation and resolution. A case study of a large dataset, the GEAR rainfall dataset is supplied to demonstratethe typical uses case of this toolbox. The provision of the toolbox for downloading together with the sample datais also presented.
Keywords: Spatial random sampling, Grid-based data analysis, Environment change, MATLAB toolbox, Open source software
College: Professional Services
Start Page: 104598

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