Mostly used for elevation maps or similar. Mode resampling selects the value which appears most often of all the sampled points.Īvailable methods for resampling overviews Nearest neighbor Each output point depends on 16 input points (4x4 pixel kernel), as before.Īverage resampling computes the average of all non-NODATA contributing pixels. This has some nice properties, but simple B-spline interpolation gives an output function that does not pass through the original sample points. The disadvantage of the Cubic option is that it requires more processing time.Ĭubic B-splines use an interpolation kernel that is the result of convolving a unit-width box with itself 4 times. The output from cubic convolution is geometrically less distorted than the raster achieved by running the nearest neighbor resampling algorithm. If this is unacceptable, use Bilinear instead. It is appropriate for continuous data, although it may result in the output raster containing values outside the range of the input raster. Performs a cubic convolution and determines the new value of a cell-based on fitting a smooth curve through the 16 nearest input cell centers (4x4 pixel kernel). It is useful for continuous data and will cause some smoothing of the data. Performs a bilinear interpolation and determines the new value of a cell-based on a weighted distance average of the four nearest input cell centers (2x2 pixel kernel). This is the default option for resampling. Rarely makes sense for production data can be used for quick testing since it is much faster than the others. It is used primarily for discrete data, such as land-use classification. Performs the nearest neighbor assignment and is the fastest of the interpolation methods. The following section describes each of the available resampling methods and corresponding output using the same input. This setting can be made in the Image tab of the Global settings dialog. In MapTiler Desktop there are 6 resampling methods that you can choose from to be used in the rendering process. As mentioned above, it is used for interpolation of the values of individual pixels and it affects the sharpness vs smoothness of the produced maps. The selected resampling method affects the visual quality of the output tiles. This is used when the input and output do not line up exactly, when the pixel size changes, when the data is shifted, or a combination of these. ![]() Resampling is the process of interpolating pixel values while transforming your raster dataset. The global settings dialog is available since MapTiler Desktop 11.3. In this article, you will learn what resampling is, how the selection of the resampling method affects the output, and where this setting can be made from. ![]() To obtain the best output quality tiles from the MapTiler Desktop application, it is possible to choose a resampling method to be used in the rendering process.
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