Paper details

Title: The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces

Authors: Francesco Carrer, Tomasz M. Kossowski, Justyna Wilk, Michał B. Pietrzak, Roger S. Bivand

Abstract: Obtained from OpenAlex

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.

Codecheck details

Certificate identifier: 2020-025

Codechecker name: Daniel Nüst

Time of codecheck: 2020-11-19 12:00:00

Repository: https://github.com/codecheckers/LICD_article

Codecheck report: https://doi.org/10.5281/zenodo.4279275

Summary:

This workflow was very straightforward to check following the authors’ README. All figures stored in the repository could be recreated and match the ones given in the manuscript.


https://codecheck.org.uk/ | GitHub codecheckers

© Stephen Eglen & Daniel Nüst

Published under CC BY-SA 4.0

DOI of Zenodo Deposit

CODECHECK is a process for independent execution of computations underlying scholarly research articles.