12 citations · 21 across the 4 of their papers we have counts for
5 papers
Estimation of entropy measures for categorical variables with spatial correlation
Linda Altieri, Daniela Cocchi, Giulia Roli
Entropy is a measure of heterogeneity widely used in applied sciences, often when data are collected over space. Recently, a number of approaches has been proposed to include spati…
PC priors for residual correlation parameters in one-factor mixed models
Massimo Ventrucci, Daniela Cocchi, Gemma Burgazzi +1
Lack of independence in the residuals from linear regression motivates the use of random effect models in many applied fields. We start from the one-way anova model and extend it t…
Measuring heterogeneity in urban expansion via spatial entropy
Linda Altieri, Daniela Cocchi, Giulia Roli
The lack of efficiency in urban diffusion is a debated issue, important for biologists, urban specialists, planners and statisticians, both in developed and new developing countrie…
SpatEntropy: Spatial Entropy Measures in R
Linda Altieri, Daniela Cocchi, Giulia Roli
This article illustrates how to measure the heterogeneity of spatial data presenting a finite number of categories via computation of spatial entropy. The R package SpatEntropy con…
The use of spatial information in entropy measures
Linda Altieri, Daniela Cocchi, Giulia Roli
The concept of entropy, firstly introduced in information theory, rapidly became popular in many applied sciences via Shannon's formula to measure the degree of heterogeneity among…