spiderPlots: Spider chart

In geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

Spider chart

Description

Display spider charts to quickly compare values between groups

Usage

spiderPlots(data, belongmatrix, chartcolors = NULL)

Arguments

data	A dataframe with numeric columns
belongmatrix	A membership matrix
chartcolors	A vector of color names used for the spider plot

Details

For each group, the weighted mean of each variable in data is calculated based on the probability of belonging to this group of each observation. On the chart the exterior ring represents the maximum value obtained for all the groups and the interior ring the minimum. The groups are located between these two limits in a linear way.

Value

NULL, the plots are displayed directly by the function (see fmsb::radarchart)

Examples

data(LyonIris)
AnalysisFields <-c("Lden","NO2","PM25","VegHautPrt","Pct0_14","Pct_65","Pct_Img",
"TxChom1564","Pct_brevet","NivVieMed")
dataset <- sf::st_drop_geometry(LyonIris[AnalysisFields])
queen <- spdep::poly2nb(LyonIris,queen=TRUE)
Wqueen <- spdep::nb2listw(queen,style="W")
result <- SFCMeans(dataset, Wqueen,k = 5, m = 1.5, alpha = 1.5, standardize = TRUE)
spiderPlots(dataset,result$Belongings)

geocmeans documentation built on Sept. 12, 2023, 9:06 a.m.