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 language | English |
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| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 6 Apr 2021 |
| Event | 29th Annual GIS Research UK Conference (GISRUK) - Cardiff University, Cardiff, United Kingdom Duration: 14 Apr 2021 → 16 Apr 2021 http://dx.doi.org/10.5281/zenodo.4665865 |
Conference
| Conference | 29th Annual GIS Research UK Conference (GISRUK) |
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| Abbreviated title | GISRUK 2021 |
| Country/Territory | United Kingdom |
| City | Cardiff |
| Period | 14/04/21 → 16/04/21 |
| Internet address |
Keywords
- LISA
- categorical data
- hierarchical classification
- continuou data