Literature DB >> 30283156

Spatio-temporal modelling as a way to reconstruct patterns of past human activities.

Jan Kolář1,2, Martin Macek3, Peter Tkáč1, Péter Szabó1.   

Abstract

This paper examines the possibilities of creating quantified models of past human activities in both time and space. The study area lies in the southeastern Czech Republic and western Slovakia. The spatio-temporal model of behavioural categories was calculated with the help of Monte Carlo simulations and statistical testing. One of the main advantages of our approach is that it admits the probabilistic nature of input data, quantifies them and provides probabilistic results comparable with other proxies. It also presents a less biased way of how archaeological data from regions and periods with low numbers of 14C datings can be incorporated into models of past population dynamics.

Entities:  

Keywords:  Central Europe; Monte Carlo simulation; chronology; modelling; past human activities; prehistoric population dynamics; temporal uncertainty

Year:  2015        PMID: 30283156      PMCID: PMC6166865          DOI: 10.1111/arcm.12182

Source DB:  PubMed          Journal:  Archaeometry        ISSN: 0003-813X            Impact factor:   1.886


  1 in total

1.  Regional population collapse followed initial agriculture booms in mid-Holocene Europe.

Authors:  Stephen Shennan; Sean S Downey; Adrian Timpson; Kevan Edinborough; Sue Colledge; Tim Kerig; Katie Manning; Mark G Thomas
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

  1 in total
  1 in total

1.  The origin of grasslands in the temperate forest zone of east-central Europe: long-term legacy of climate and human impact.

Authors:  Petr Kuneš; Helena Svobodová-Svitavská; Jan Kolář; Mária Hajnalová; Vojtěch Abraham; Martin Macek; Peter Tkáč; Péter Szabó
Journal:  Quat Sci Rev       Date:  2015-05-15       Impact factor: 4.112

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.