Multidimensional Raster function

Overview

Adds multidimensional data to a map as a multidimensional raster layer.

This function is useful when performing raster analysis workflows using a function chain.

Supported multidimensional raster datasets include netCDF, GRIB, HDF, and Esri's CRF. Multidimensional mosaic datasets are also supported.


Parameter name	Description
Raster	The input multidimensional raster.
Variables	The variable or variables to be included in the multidimensional raster layer.
Interpolation Method	The resampling method used to interpolate irregular data. Nearest Neighbor—Calculates the output pixel value using the nearest input pixel. If no source pixel exists, no new pixel can be created in the output. This is the default. Linear Tinning—Uses a triangulated irregular network from the center point of each pixel in the irregular raster to interpolate a surface that is then converted to a regular raster. Natural Neighbor—Finds the closest subset of input samples to a query point and applies weights to them, based on proportionate areas, to interpolate a value. Inverse Distance Weighting —Determines pixel values using a linearly weighted combination of a set of sample points or pixels. The weight is a function of the inverse of the distance from the known points or pixels.
Interpolation Cellsize	The cell size of the interpolated raster. The default value is `1`.