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A moving window analysis is used in this method.
The moving window analysis is a statistical technique that identifies significant changes in parameters (i.e., structure and composition) along gradients.
Structure (wetland size) and composition (herbaceous species) are two attributes of an ephemeral wetland that are easily quantifiable using a moving window analysis.
The GMC micromechanics model was chosen as the basis for the moving window analysis since it provides straightforward access to values of the elements of the concentration tensors for the individual phases in a computationally efficient manner.
This article reduces such barriers by introducing a computational framework for moving window analysis that separates the tasks of tallying pixels, patches and edges as a window moves over the map from the internal logic of landscape indicators.
We used structure and vegetation maps and a moving window analysis, with various window sizes representing neighborhood sizes, to calculate the neighborhood density of both houses and wildland vegetation.
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A set of eight catchments with long records (starting in the 1930s or earlier) are used to assess the representativeness of recent trends in a long-term context, via a moving window trend analysis.
Since the 8 SNPs were in low LD, we also performed a three marker moving window haplotype analysis and found no significant associations between lung cancer and haplotype combinations of three SNPs (see Supplemental Table S3).
Figure 9 The original user interest time series (Replay30) is compared to alternative smoothed ones in order to select the most suitable moving window for further analysis.
An edge interface tool combining morphological analysis and a moving window landscape mosaic tri-dimensional model is presented; a "Power Weighted Probability of Dispersal" (PWPD) function is proposed to make connectivity indices sensitive to the landscape resistance.
The temporal variability and the uncertainty of the rating curve and its parameters were analysed through a Monte Carlo (MC) analysis on a moving window of data using the Generalised Likelihood Uncertainty Estimation (GLUE) methodology.
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