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The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces
Journal of Archaeological Science ( IF 2.8 ) Pub Date : 2020-12-15 , DOI: 10.1016/j.jas.2020.105306
Francesco Carrer , Tomasz M. Kossowski , Justyna Wilk , Michał B. Pietrzak , Roger S. Bivand

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.



中文翻译:

应用分类数据本地指标(LICD)探索考古空间中的空间依赖性

空间自相关的全局和局部分析在空间考古学中很普遍。但是,尽管在考古学研究中逻辑(存在/不存在)和分类参数同样频繁,但它们仅专注于连续的数值参数。对分类数据的空间依赖性的全局测试通常在其他领域中使用,并且最近已经开发了这些测试的本地版本(称为LICD)。本文提供了这种方法的详细说明,并提出了LICD在考古数据上的首次改编和应用。在两个案例研究中测试了不同的LICD版本:(a)考古网格,每个单元记录有无物体;(b)历史景观特征,具有字符类型的起源(中世纪,后中世纪)。这些示例旨在展示和促进LICD在景观和现场考古中的使用。

更新日期:2020-12-15
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