SpatEntropy: Spatial Entropy Measures in R

Preprint English OPEN
Altieri, Linda; Cocchi, Daniela; Roli, Giulia;
  • Subject: Statistics - Computation

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 contains functions for the computation of entropy and spatial entropy measures. The extension... View more
  • References (12)
    12 references, page 1 of 2

    Altieri, L., D. Cocchi, G. Pezzi, E. Scott, and M. Ventrucci (2014). Urban sprawl scatterplots for urban morphological zones data. Ecological Indicators 36, 315-323.

    Altieri, L., D. Cocchi, and G. Roli (2018a). A new approach to spatial entropy measures. Environmental and Ecological Statistics 25, 95-110.

    Altieri, L., D. Cocchi, and G. Roli (2018b). SpatEntropy: Spatial Entropy Measures. R package version 0.1.0.

    Anselin, L. (1995). Local indicators of spatial association - LISA. Geographical Analysis 27(2), 94-115.

    Baddeley, A., E. Rubak, and R. Turner (2015). Spatial Point Patterns: Methodology and Applications with R. London: Chapman and Hall/CRC Press.

    Batty, M. (1974). Spatial entropy. Geographical Analysis 6, 1-31.

    Batty, M. (1976). Entropy in spatial aggregation. Geographical Analysis 8, 1-21.

    Batty, M. (2010). Space, scale, and scaling in entropy maximizing. Geographical Analysis 42, 395-421.

    Cover, T. M. and J. A. Thomas (2006). Elements of Information Theory. Second Edition. Hoboken, New Jersey: John Wiley & Sons, Inc.

    Cressie, N. (1993). Statistics for Spatial Data. Revised Edition. Hoboken, New Jersey: John Wiley & Sons, Inc.

  • Similar Research Results (1)
  • Related Organizations (1)
  • Metrics
Share - Bookmark