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The codispersion map: a graphical tool to visualize the association between two spatial variables
Author(s) -
Vallejos Ronny,
Osorio Felipe,
Mancilla Diego
Publication year - 2015
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/stan.12060
Subject(s) - construct (python library) , graph , association (psychology) , computer science , mathematics , code (set theory) , plane (geometry) , spatial analysis , correlation coefficient , algorithm , theoretical computer science , statistics , geometry , philosophy , set (abstract data type) , epistemology , programming language
The codispersion coefficient quantifies the association between two spatial processes for a particular direction (spatial lag) on a two‐dimensional space. When this coefficient is computed for many directions, it is useful to display those values on a single graph. In this article, we suggest a graphical tool called a codispersion map to visualize the spatial correlation between two sequences on a plane. We describe how to construct a codispersion map for regular and non‐regular lattices, providing algorithms in both cases. Three numerical examples are given to illustrate how useful this map can be to detect those directions for which the codispersion coefficient attains its maximum and minimum values. We also provide the R code to construct the codispersion map in practice.