surfArea

surfArea,SpatRaster-method

It is often said that if Wales was flattened out it would have an area bigger than England. This function computes the surface area for a raster with elevation values, taking into account the sloping nature of the surface.

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

surfArea function

<dl> <dt>x</dt>
<dd>SpatRaster with elevation values. Currently the raster CRS must be planar and have the same distance units (e.g. m) as the elevation values</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

Author

Compute surface area from elevation data — surfArea

<dl>

 <dt>x</dt>
<dd>SpatRaster with elevation values. Currently the raster CRS must be planar and have the same distance units (e.g. m) as the elevation values</dd>

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

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

</dl>

Compute surface area from elevation data

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surfArea: Compute surface area from elevation data

Description

Usage

Value

Arguments

Author

References

See Also

Examples