Kaarel Sikk

Kaarel Sikk
Masaryk University | MUNI

PhD

About

11
Publications
1,085
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15
Citations
Introduction
Additional affiliations
January 2012 - January 2015
University of Tartu
Position
  • Project Manager

Publications

Publications (11)
Article
Full-text available
Inductive locational models have been used for decades to map the probability of past settlements and identify the preferred environmental conditions for habitation. In this study we apply inductive modelling to compare the spatial structure of the settlement systems of hunter-fisher-gatherer groups (Narva and Combed Ware Culture) and early agraria...
Article
The behavioural ecological approach to anthropology states that the density and distribution of resources determines optimal patterns of resource use and also sets its constraints to grouping, mobility and settlement choice. Central place foraging (CPF) models have been used for analyzing foraging behaviours of hunter-gatherers and drawing a causal...
Article
Full-text available
Fireplaces and burnt stones related to them are common features found at Stone Age settlement sites. Although information about them is present in archaeological reports and also available in publications, there has been no general research done regarding combustion features specifically. The purpose of this study was to fill the gap of relevant re...

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Projects

Project (1)
Project
This project uses the methods of social network analysis, geoinformatics, and natural language processing to shed new light on the social, spatial, and discursive patterns of medieval dissident Christianities, heresy trials, and inquisitorial records. Our case studies focus on Languedoc from the 1230s to the 1320s; Lombardy and Tuscany from the 1240s to the 1300s; and England from the 15th to the 16th centuries, thereby covering various dissident religious cultures such as Cathars, Waldensians, Beguins, Fraticelli, Guglielmites, and Lollards. The project is funded by an ERC Consolidator grant (2021-2026). Previously it has received an EXPRO grant from the Czech Science Foundation (2019-2021).