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Showing 1 to 2 of 2 for “"high resolution observation"”.

  1. Information Analysis of Spatiotemporal Data Stream–Models, Algorithms and Evaluations

    … but they all share one major difficulty: high dimensionality. Some of them are data-intensive in spatial space, which needs modeling and feature extraction to reduce spatial dimensions. Others are data-intensive in temporal space, which needs temporal dimension reduction. This dissertation …

    arizona-thes Repository record for Information Analysis of Spatiotemporal Data Stream–Models, Algorithms and Evaluations (opens in a new tab)

  2. Exploring the Spatial Distribution of Marine Nitrogen Fixation Through Statistical Modeling, High-Resolution Observations and Molecular Level Characterization

    … in great part due to the limited number of observations. As part of this dissertation, I applied a variety of approaches including statistical modeling, high-resolution field measurements, and gene sequencing to characterize the biogeography of marine diazotrophy.</p><p>The first approach …

    duke Repository record for Exploring the Spatial Distribution of Marine Nitrogen Fixation Through Statistical Modeling, High-Resolution Observations and Molecular Level Characterization (opens in a new tab)