ELSA: a new local indicator for spatial association

Nicholas A. S. Hamm, Babak Naimi, Thomas A. Groen

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Number of pages7
DOIs
Publication statusPublished - 6 Apr 2021
Event 29th Annual GIS Research UK Conference (GISRUK) - Cardiff University, Cardiff, United Kingdom
Duration: 14 Apr 202116 Apr 2021
http://dx.doi.org/10.5281/zenodo.4665865

Conference

Conference 29th Annual GIS Research UK Conference (GISRUK)
Abbreviated titleGISRUK 2021
Country/TerritoryUnited Kingdom
CityCardiff
Period14/04/2116/04/21
Internet address

Keywords

  • LISA
  • categorical data
  • hierarchical classification
  • continuou data

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