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A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.
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A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.
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A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.
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This project contains a Python class for easy analysis of hyperspectral imagery time series with simplex volume maximisation (SiVM) and R code for statistical evaluation.
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Reproducible Research with RMarkdown - a small introductory example for the OESA Juniors Methods Seminar, 2019-01-23.
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