ELSA: a new local indicator for spatial association

Hamm, Nicholas A.S., Naimi, Babak and Groen, Thomas (2021) ELSA: a new local indicator for spatial association. In: The 29th Annual GIS Research UK Conference (GISRUK), 14-16 April 2021, Cardiff, Wales, UK (Online).

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Abstract

There are several local indicators of spatial association (LISA) that allow exploration of local patterns in spatial data. Despite numerous situations where categorical variables are encountered, few attempts have been devoted to the development of methods to explore the local spatial pattern in categorical data. To our knowledge, there is no indicator of local spatial association that can be used for both continuous and categorical data. We introduce ELSA, which can be used for exploring and testing local spatial association for continuous and categorical variables. We provide the R-package elsa for making these computations.

Item Type: Conference or Workshop Item (Paper)
Keywords: LISA, categorical data, hierarchical classification, continuous data
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Geographical Sciences
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Depositing User: Hamm, Nicholas
Date Deposited: 20 Apr 2021 06:28
Last Modified: 20 Apr 2021 06:28
URI: https://eprints.nottingham.ac.uk/id/eprint/65130

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