The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces
Authors:
- Francesco Carrer,
- Tomasz Mikołaj Kossowski,
- Justyna Wilk,
- Michał B. Pietrzak,
- Roger S. Bivand
Abstract
Global and local analyses of spatial autocorrelation are commonplace in spatial archaeology. However, they are exclusively focused on continuous numerical parameters, even though logical (presence/absence) and categorical parameters are equally frequent in archaeological research. Global tests of spatial dependence for categorical data are routinely used in other fields, and local versions of these tests (known as LICD) have recently been developed. This paper provides a detailed description of such methods, and presents the first adaptation and application of LICD to archaeological data. Different LICD versions have been tested on two case-studies: (a) an archaeological grid, with object presence or absence recorded for each cell; (b) Historic Landscape Characterisation, with the origin of character types (mediaeval, post-mediaeval or modern) recorded for each region. These examples seek to showcase and promote the use of LICD in landscape and intra-site archaeology.
- Record ID
- UAMf86063696c9d4c708480583aa470958e
- Author
- Journal series
- Journal of Archaeological Science, ISSN 0305-4403, e-ISSN 1095-9238
- Issue year
- 2021
- Vol
- 126
- Pages
- 1-9
- Article number
- 105306
- Keywords in English
- Spatial analysisLocal autocorrelationLICDJoin-count statisticsRegular and irregular lattice
- ASJC Classification
- ;
- DOI
- DOI:10.1016/j.jas.2020.105306 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 200
- Score source
- journalList
- Score
- = 200.0, 15-02-2022, ArticleFromJournal
- Publication indicators
- = 2; = 3; : 2018 = 1.836; : 2019 (2 years) = 2.787 - 2019 (5 years) =3.182
- Citation count
- 7
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAMf86063696c9d4c708480583aa470958e/
- URN
urn:amu-prod:UAMf86063696c9d4c708480583aa470958e
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.