circular_window

Create a matrix that can be used as a window when working with
rasters. It uses a radius to set to 0 the weights of pixels that are farther
than this distance. This is helpful to create circular focals.

Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed.
The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).

Jeremy Gelb

geocmeans

Implementing Methods for Spatial Fuzzy Unsupervised
Classification

Philippe Apparicio

circular_window function

<dl><dt>radius</dt>
<dd>The size in metres of the radius of the circular focal</dd>
<dt>res</dt>
<dd>The width in metres of a pixel. It is assumed that pixels are squares.</dd></dl>

Arguments

Circular window — circular_window

<dl>

<dt>radius</dt>
<dd>The size in metres of the radius of the circular focal</dd>


<dt>res</dt>
<dd>The width in metres of a pixel. It is assumed that pixels are squares.</dd>

</dl>

circular_window: Circular window

Description

Usage

Value

Arguments

Details

Examples