Point clouds, LiDAR and other datasets store their geolocation as irregularly spaced arrays of point data. The Interpolate Irregular Data function converts irregularly gridded point feature class data into a raster dataset with square pixels.
You can change the interpolation method and output cell size used in the Interpolate Irregular Data raster function.
The input point feature class or shapefile.
The name of the field that contains the value of the points to be interpolated.
The cell size for the output raster dataset. This can be different from the input raster, though the extent of the raster dataset will remain the same.
The resampling method to use for interpolation:
The number of pixels to be included for resampling. The default value is 3 pixels.