normalize.longitude

normalize.longitude,SpatVector-method

Normalize the longitude of geometries, that is move geometries to a bounding box of -180 to 180 degrees

methods

spatial

Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. 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/terra/> to get started. 'terra' is a replacement for 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

Karl Forner

Jeroen Ooms

Edzer Pebesma

Michael D. Sumner

normalize.longitude function

<dl> <dt>x</dt>
<dd>SpatVector</dd></dl>

Arguments

normalize vector data that crosses the dateline — normalize.longitude

<dl>

 <dt>x</dt>
<dd>SpatVector</dd>

</dl>

normalize vector data that crosses the dateline

normalize.longitude: normalize vector data that crosses the dateline

Description

Usage

Value

Arguments

See Also

Examples