Comparing implementations of global and local indicators of spatial association

Author:

Bivand Roger S.ORCID,Wong David W. S.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference56 articles.

1. Alam M, Rönnegård L, Shen X (2015) Fitting conditional and simultaneous autoregressive spatial models in hglm. R J 7(2):5–18. http://journal.r-project.org/archive/2015-2/alam-ronnegard-shen.pdf

2. Allaire JJ, Ushey K, Tang Y (2018) reticulate: interface to ’Python’. https://CRAN.R-project.org/package=reticulate , R package version 1.8

3. Anselin L (1992) SpaceStat, a software program for analysis of spatial data. National Center for Geographic Information and Analysis (NCGIA), University of California, Santa Barbara

4. Anselin L (1995) Local indicators of spatial association—LISA. Geogr Anal 27(2):93–115

5. Anselin L (1996) The Moran scatterplot as an ESDA tool to assess local instability in spatial association. In: Fischer MM, Scholten HJ, Unwin D (eds) Spatial analytical perspectives on GIS. Taylor & Francis, London, pp 111–125

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