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This paper explores the potential of open spatial datasets to explain the occurrence of citizen-reported flood incidents during a heavy rain event.
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Wimmer et al. (2009) use the Ethnic Power Relations (EPR) dataset to explain secessionist claims of ethnic groups in all countries of the world from World War II to 2005.
Therefore, selecting appropriate variables from a dataset to explain a response variable is a fundamental data fusion technique in mining process.
As a diversity measure, PD has been shown for some datasets to better explain variation in community productivity than species or functional group richness [9], [18].
The exaggerated reduction of diversity of X-linked regions in derived populations contained within the compiled dataset unfortunately remains difficult to explain.
We performed heat map and clustering analysis using a subset of named lipid markers in our dataset to help explain the observed patterns from our richness estimators, major lipid class analysis, and PCA.
This is partially due to the lack of longitudinal datasets that contain sufficient information to explain dynamically changing behaviour.
The current work provides a good example of how to use a unified mathematical model to explain complicated datasets obtained from in vitro metal-binding and transcription experiments which have been widely performed for metal ion homeostasis and detoxification systems [ 22, 29, 31, 36, 37].
One participant commented, For me, the take-home message is that if you want to build a mathematical model to explain a dataset, you should have a good understanding of the dataset.
Here due to space constraints we are unable to explain the dataset.
Readers may ask for more details but due to space constraints we are unable to explain the dataset.
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CEO of Professional Science Editing for Scientists @ prosciediting.com