rep,SpatRaster-method

spatial

Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).

Robert Hijmans

terra

Spatial Data Analysis

Robert J. Hijmans

Roger Bivand

Emanuele Cordano

Krzysztof Dyba

Edzer Pebesma

Michael D. Sumner

rep function

<dl> <dt>x</dt>
<dd>SpatRaster</dd> <dt>...</dt>
<dd>arguments as in <code><a href="/link/rep?package=terra&version=1.7-83" data-mini-rdoc="terra::rep">rep</a></code></dd></dl>

Arguments

Replicate layers — rep

<dl>

 <dt>x</dt>
<dd>SpatRaster</dd>

 <dt>...</dt>
<dd>arguments as in <code><a href='https://rdrr.io/r/base/rep.html'>rep</a></code></dd>

</dl>

Replicate layers

rep: Replicate layers

Description

Usage

Value

Arguments

Examples