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The spatial scan statistics in SaTScan identifies clusters by utilizing a moving window that scans over a map, including different sets of neighboring counties.
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As an alternative, a moving window technique is applied.
We concurrently performed a quantitative evaluation of the landscape fragmentation with a moving window.
A moving window analysis is used in this method.
The models are estimated using a moving window or adaptive approach.
The CAWF employs a moving window approach with a moving reference patch and corresponding moving search window, each centered about pixel i, where i=1,2,…,N.
We used a moving window approach, whereby the window covered 500 events.
The key idea is to keep a moving window that slides when a new sample is available.
Essentially, taking moving averages involves running a moving window over the data and taking averages of points falling within each of these windows.
A moving window was ultimately slid over the entire weight signal.
We also obtained odds ratios using a moving window of exposure.
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