The best resampling method to employ when projecting a raster of land use codes is nearest neighbor, bilinear, cubic convolution, affine.
What is raster resampling?
- Raster resampling is the process of altering the spatial resolution of a raster dataset (raising or reducing).
- The uncorrected image's original digital pixel values are used to calculate the new pixel values throughout the resampling process.
- The bicubic resampling technique is typically regarded as the finest choice for obtaining highly effective outcomes. However, bilinear or nearest neighbor may be preferable choices if speed is more crucial than quality.
- The jackknife and bootstrap resampling techniques are two of the most used. These two are illustrations of nonparametric statistical techniques.
- In statistical inference, the Jackknife method is used to calculate the bias and standard error of a test statistic.
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