smooth_dem

Spatially smooth dem by (window) filtering

internal

Provides tools to automate the morphological delineation of
riverside urban areas based on a method introduced in Forgaci (2018)
<doi:10.7480/abe.2018.31>. Delineation entails the identification of
corridor boundaries, segmentation of the corridor, and delineation of
the river space using two-dimensional spatial information from street
network data and digital elevation data in a projected CRS. The
resulting delineation can be used to characterise spatial phenomena
that can be related to the river as a central element.

Claudiu Forgaci

rcrisp

Automate the Delineation of Urban River Spaces

Francesco Nattino

Fakhereh Alidoost

Meiert Willem Grootes

Netherlands eScience Center 

smooth_dem function

<dl><dt>dem</dt>
<dd>raster data of dem</dd>
<dt>method</dt>
<dd>smoothing function to be used, e.g. "median",
as accepted by <code><a href="/link/terra%3A%3Afocal()?package=rcrisp&version=0.3.1" data-mini-rdoc="rcrisp::terra::focal()">terra::focal()</a></code></dd>
<dt>window</dt>
<dd>size of smoothing kernel</dd></dl>

Arguments

Spatially smooth dem by (window) filtering — smooth_dem

<dl>

<dt>dem</dt>
<dd>raster data of dem</dd>


<dt>method</dt>
<dd>smoothing function to be used, e.g. "median",
as accepted by <code><a href='https://rdrr.io/pkg/terra/man/focal.html'>terra::focal()</a></code></dd>


<dt>window</dt>
<dd>size of smoothing kernel</dd>

</dl>

smooth_dem: Spatially smooth dem by (window) filtering

Description

Usage

Value

Arguments