AI Article Synopsis

  • The research studied how different resolutions of data affect understanding spatial scale effects, especially related to nitrogen removal in wetlands.
  • In 2018, researchers analyzed how nitrogen levels changed across different resolutions and found that a resolution 25 times the original was significant.
  • The study concluded that simply changing the resolution didn't greatly alter the overall pattern, but it was important to look at various resolutions when examining these effects.

Article Abstract

The research on the deviations caused by different resolutions is relevant to the study of spatial scale effects. In 2018, spatial interpolations were performed using the removal ratios of the TN, NH-N, and NO-N of the layers of different resolutions, respectively. Based on the mean and the standard deviation, the area, shape, and position were obtained for four levels related to the removal ratios of the three nitrogen forms. The linear and 6th function fitting methods were used to reveal the differences in nitrogen removal in wetland water at different spatial resolutions. The results showed that a resolution of 25 times the original was the key scale of the spatial effects. Due to the fact that 52 of the 72 functions did not reach a significant level (P < 0.05), the spatial scale effect of the nitrogen removal was mainly characterized by disorderly fluctuations. The results have a certain extrapolation value for the analysis of spatial scale effects. PRACTITIONER POINTS: The resolution difference was not sufficient to change the spatial pattern of the geographic phenomena. The resolution of 25 times the original was the important scale for determining spatial effects. When studying the spatial scale effects caused by differences in resolution, it was necessary to comprehensively consider various resolutions.

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Source
http://dx.doi.org/10.1002/wer.11034DOI Listing

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