Modelling distribution of archaeological settlement evidence based on heterogeneous spatial and temporal data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985912%3A_____%2F16%3A00463345" target="_blank" >RIV/67985912:_____/16:00463345 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.jas.2016.04.003" target="_blank" >http://dx.doi.org/10.1016/j.jas.2016.04.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jas.2016.04.003" target="_blank" >10.1016/j.jas.2016.04.003</a>

Result language
angličtina
Original language name
Modelling distribution of archaeological settlement evidence based on heterogeneous spatial and temporal data
Original language description
We analyse variations in prehistoric agricultural settlement behaviour both in space and time to detect main turning points and shifts in settlement patterns in Bohemia, western Czech Republic. We propose a theoretical framework to address our research question and a new evidence density estimation (EDE) method combining and extending existing approaches to produce probabilistic maps and temporal frequency distribution (TFD) curves. This method takes into account heterogeneous spatial and temporal accuracy of archaeological data, and it models settlement structure where respective sites have a specific area and a given interval of duration. We determined minimal sampling densities of archaeological data enabling the method to predict prehistoric settlement at a statistically significant level. The EDE method is universally applicable for all datasets with sampling densities of more than 0.05 archaeological actions per km2 for chrono-typologically dated evidence and 0.035 actions per km2 for radiocarbon or similar dates. The results show that changes in spatial extent, density and clustering of settlement activities occur repeatedly throughout the whole agricultural prehistory and shed new light on settlement behaviour of past populations.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AC - Archaeology, anthropology, ethnology
OECD FORD branch
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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