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The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing values in a long-term water quality data set from the upper Mississippi River, USA.
Categories: Data;
Tags: Information Sciences,
Mississippi River,
North America,
USGS Science Data Catalog (SDC),
Upper Mississippi River, All tags...
Water Resources,
biota,
interpolation,
missingness,
water quality, Fewer tags
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The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.
Tags: Land Use Change,
Mississippi River,
North America,
USGS Science Data Catalog (SDC),
Upper Mississippi River, All tags...
biota,
state change,
topological data analysis,
topology,
water quality, Fewer tags
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