mapRasters

Internal function to realize maps based on rasters

internal

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

mapRasters function

<dl><dt>object</dt>
<dd>A FCMres object</dd>
<dt>undecided</dt>
<dd>A float between 0 and 1 giving the minimum value that an
observation must get in the membership matrix to not be considered as
uncertain (default = NULL)</dd></dl>

Arguments

Mapping the clusters (rasters) — mapRasters

<dl>

<dt>object</dt>
<dd>A FCMres object</dd>


<dt>undecided</dt>
<dd>A float between 0 and 1 giving the minimum value that an
observation must get in the membership matrix to not be considered as
uncertain (default = NULL)</dd>

</dl>

mapRasters: Mapping the clusters (rasters)

Description

Usage

Value

Arguments

Examples