# r3.neighbors.1grass - Man Page

Makes each voxel value a function of the values assigned to the voxels around it, and stores new voxel values in an output 3D raster map

## Keywords

raster3d, algebra, voxel, statistics, aggregation, neighbor, focal statistics, filter

## Synopsis

**r3.neighbors****r3.neighbors --help****r3.neighbors input**=*name* **output**=*name* **method**=*string* [**quantile**=*float*] **window**=*x,y,z* [**--overwrite**] [**--help**] [**--verbose**] [**--quiet**] [**--ui**]

### Flags

- --overwrite
Allow output files to overwrite existing files

- --help
Print usage summary

- --verbose
Verbose module output

- --quiet
Quiet module output

- --ui
Force launching GUI dialog

### Parameters

**input**=*name*Â**[required]**Name of input 3D raster map

**output**=*name*Â**[required]**Name for output 3D raster map

**method**=*string*Â**[required]**Aggregate operation

Options:*average, median, mode, minimum, maximum, range, stddev, sum, count, variance, diversity, interspersion, quart1, quart3, perc90, quantile***quantile**=*float*Quantile to calculate for method=quantile

Options:*0.0-1.0***window**=*x,y,z*Â**[required]**The size of the window in x, y and z direction, values must be odd integer numbers, eg: 3,3,3

## Description

**r3.neighbors** looks at each voxel in a 3D raster input map layer, and examines the values assigned to the voxel in a user-defined "neighborhood" around it. It outputs a new 3D raster map in which each voxel is assigned a value that is a (user-specified) function of the values in that voxel’s neighborhood. For example, each voxel in the output map might be assigned a value equal to the average of the values appearing in its 3 x 3 x 3 voxel "neighborhood" in the input map layer.

### Options

The user must specify the names of the 3D raster map layers to be used for **input** and **output**, the **method** used to analyze neighborhood values (i.e., the neighborhood function or operation to be performed), and the moving **window** of the neighborhood.

*Neighborhood Operation Methods:* The **neighborhood** operators determine what new value a center voxel in a neighborhood will have after examining values inside its neighboring voxels. Each voxel in a 3D raster map layer becomes the center voxel of a neighborhood as the neighborhood window moves from voxel to voxel throughout the map layer. **r3.neighbors** can perform the following operations:

**average**The average value within the neighborhood.

**median**The value found half-way through a list of the neighborhood’s values, when these are ranged in numerical order.

**mode**The most frequently occurring value in the neighborhood.

**minimum**The minimum value within the neighborhood.

**maximum**The maximum value within the neighborhood.

**range**The range value within the neighborhood.

**stddev**The statistical standard deviation of values within the neighborhood.

**sum**The sum of values within the neighborhood.

**variance**The statistical variance of values within the neighborhood.

**diversity**The number of different values within the neighborhood.

**interspersion**The percentage of voxels containing values which differ from the values assigned to the center voxel in the neighborhood, plus 1.

*Neighborhood Size:* The neighborhood moving **window** specifies which voxel surrounding any given voxel fall into the neighborhood for that voxel. The **window** must be three comma separated odd integers. The dimension order is: x,y,z. For example: the parameter window=3,3,3 specifies a moving window (a cube) with 27 voxel.

## Notes

The **r3.neighbors** program works in the current geographic region. It is recommended, but not required, that the 3D resolution of the geographic region be the same as that of the 3D raster map layer.

**r3.neighbors** doesn’t propagate NULLs, but computes the aggregation over the non-NULL voxels in the neighborhood.

## See Also

*g.region, r.neighbors, r3.mapcalc, r3.stats, r3.support*

## Author

Soeren Gebbert

## Source Code

Available at: r3.neighbors source code (history)

Accessed: Tuesday May 14 13:41:02 2024

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