Get metadata associated with the sources or layers of a SpatRaster

meta

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.

Robert Hijmans

terra

Spatial Data Analysis

Robert J. Hijmans

Andrew Brown

Márcia Barbosa

Roger Bivand

Michael Chirico

Emanuele Cordano

Krzysztof Dyba

Edzer Pebesma

Barry Rowlingson

Michael D. Sumner

meta function

meta — meta

<dl>

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

 <dt>layers</dt>
<dd>logical. Should the layer level metadata be returned?</dd>

</dl>

Arguments

meta: meta

Description

Usage

Arguments

Value