Analysing settlement dynamics using statistics based on archaeological theory

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985912%3A_____%2F19%3A00512035" target="_blank" >RIV/67985912:_____/19:00512035 - isvavai.cz</a>

Result on the web

<a href="https://2019.caaconference.org/wp-content/uploads/sites/25/2019/04/CAA2019_programabstracts_v20190423.pdf" target="_blank" >https://2019.caaconference.org/wp-content/uploads/sites/25/2019/04/CAA2019_programabstracts_v20190423.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Analysing settlement dynamics using statistics based on archaeological theory

Original language description

The mechanisms of settlement and land use in prehistory can be examined by testing the hypothesis that variations in spatio-temporal distribution of archaeological evidence of settlements mirror changes of the actual settlement patterns. To test this, we need a mathematical model describing the relation between the quantity of evidence and intensity of settlement activities which produced it. This model has to take into account all of the following uncertainties inherent to archaeological data: (1) The actual time and place of past events is not known and lies within the boundaries given by dating and localization of the evidence. (2) The events took place in areas which had a certain extent in time and space. (3) The observed distribution of evidence is affected by variations in feature visibility, sampling intensity and accuracy. We can test the null hypothesis that changes in spatio-temporal distribution of archaeological evidence can be explained by fluctuations stemming from these uncertainties. If we assume that an archaeologically detected site of settlement activity (as defined by the settlement area theory) represents a spatio-temporal volume, rather than a single point in time and space, we need a probabilistic method, which considers spatial and temporal dimensions equally. We propose the evidence density estimation (EDE) function, which can be applied on radiocarbon-dated evidence as well as typo-chronologically dated evidence to produce spatio-temporal distribution maps or summed distributions representing intensity of settlement activities within the examined area.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

60102 - Archaeology

Project

<a href="/en/project/EF16_019%2F0000728" target="_blank" >EF16_019/0000728: Ultra-trace isotope research in social and environmental studies using accelerator mass spectrometry</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů