The irregularly gridded raster to be resampled.

There are four resampling methods for this function:

• Nearest Neighbor—Calculates pixel value using the nearest pixel. If no source pixel exists, no new pixel can be created in the output.
• Bilinear—Calculates pixel value using the distance-weighted value of four nearest pixels.
• Linear Tinning—Uses a triangulated irregular network from the center points of each cell in the irregular raster to interpolate a surface that is then converted to a regular raster.
• Natural Neighbor—Performs a nearest neighbor assignment, is the fastest of the interpolation methods. It is used primarily for discrete data, such as a land-use classification, since it will not change the values of the cells. The maximum spatial error will be one-half the cell size.

The cell size for the output raster will be automatically detected; however, you can change this if you want to. The cell size can be changed, but the extent of the raster dataset will remain the same.