prepExData

Prepare example data included in the package that contain wrapped terra
objects. This applies <code><a href="/link/terra%3A%3Aunwrap()?package=roads&version=1.2.0" data-mini-rdoc="roads::terra::unwrap()">terra::unwrap()</a></code> recursively to the list provided so
that all <code>PackedSpatRasters</code> are converted to <code>SpatRasters</code>.

Iterative least cost path and minimum spanning tree methods for projecting
forest road networks. The methods connect a set of target points to an existing
road network using 'igraph' <https://igraph.org> to identify least cost routes.
The cost of constructing a road segment between adjacent pixels is determined
by a user supplied weight raster and a weight function; options include the
average of adjacent weight raster values, and a function of the elevation
differences between adjacent cells that penalizes steep grades. These road
network projection methods are intended for integration into R workflows and
modelling frameworks used for forecasting forest change, and can be applied
over multiple time-steps without rebuilding a graph at each time-step.

Sarah Endicott

roads

Road Network Projection

Kyle Lochhead

Josie Hughes

Patrick Kirby

Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment 

Province of British Columbia 

prepExData function

<dl><dt>x</dt>
<dd>list. Contains elements some of which are packed <code>SpatRasters</code>.</dd></dl>

Arguments

Prepare example data included in the package that contain wrapped terra
objects. This applies <code><a href='https://rdrr.io/pkg/terra/man/wrap.html'>terra::unwrap()</a></code> recursively to the list provided so
that all <code>PackedSpatRasters</code> are converted to <code>SpatRasters</code>.

Prepare example data — prepExData

<dl>

<dt>x</dt>
<dd>list. Contains elements some of which are packed <code>SpatRasters</code>.</dd>

</dl>

prepExData: Prepare example data

Description

Usage

Value

Arguments

Examples