scale_linear

scale_linear,SpatRaster-method

Linear scaling of raster cell values between a specified minimum and maximum value.

 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

Michael Chirico

Emanuele Cordano

Krzysztof Dyba

Edzer Pebesma

Barry Rowlingson

Michael D. Sumner

scale_linear function

<dl> <dt>x</dt>
<dd>SpatRaster</dd> <dt>min</dt>
<dd>minimum value to scale to</dd> <dt>max</dt>
<dd>maximum value to scale to</dd> <dt>filename</dt>
<dd>character. Output filename</dd> <dt>...</dt>
<dd>additional arguments for writing files as in <code>writeRaster</code></dd></dl>

Arguments

Scale values linearly — scale_linear

<dl>

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

 <dt>min</dt>
<dd>minimum value to scale to</dd>

 <dt>max</dt>
<dd>maximum value to scale to</dd>

 <dt>filename</dt>
<dd>character. Output filename</dd>

 <dt>...</dt>
<dd>additional arguments for writing files as in <code>writeRaster</code></dd>

</dl>

Scale values linearly

scale_linear: Scale values linearly

Description

Usage

Value

Arguments

See Also

Examples