mem_info

free_RAM

<code>mem_info</code> prints the amount of RAM that is required and available to process a SpatRaster.
<code>free_RAM</code> returns the amount of RAM that is available

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

Márcia Barbosa

Roger Bivand

Andrew Brown

Michael Chirico

Emanuele Cordano

Krzysztof Dyba

Edzer Pebesma

Barry Rowlingson

Michael D. Sumner

mem function

<dl> <dt>x</dt>
<dd>SpatRaster</dd> <dt>n</dt>
<dd>positive integer. The number of copies of <code>x</code> that are needed</dd> <dt>print</dt>
<dd>logical. print memory info?</dd></dl>

Arguments

Memory available and needed — mem

<dl>

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

 <dt>n</dt>
<dd>positive integer. The number of copies of <code>x</code> that are needed</dd>

 <dt>print</dt>
<dd>logical. print memory info?</dd>

</dl>

Memory available and needed

mem: Memory available and needed

Description

Usage

Value

Arguments

Examples