Perspective plot of a SpatRaster. This is an implementation of a generic function in the graphics package.

persp

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

Márcia Barbosa

Roger Bivand

Andrew Brown

Michael Chirico

Emanuele Cordano

Krzysztof Dyba

Edzer Pebesma

Barry Rowlingson

Michael D. Sumner

persp function

Perspective plot — persp

<dl>

 <dt>x</dt>
<dd>SpatRaster. Only the first layer is used</dd>

 <dt>maxcells</dt>
<dd>integer &gt; 0. Maximum number of cells to use for the plot. If <code>maxpixels &lt; ncell(x)</code>, <code>spatSample(method="regular")</code> is used before plotting</dd>

 <dt>...</dt>
<dd>Any argument that can be passed to <code><a href='https://rdrr.io/r/graphics/persp.html'>persp</a></code> (graphics package)</dd>
 
</dl>

Arguments

Perspective plot

persp: Perspective plot

Description

Usage

Arguments

See Also

Examples