Reconstructing the full temporal range of archaeological phenomena from sparse data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43903018" target="_blank" >RIV/60076658:12310/21:43903018 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60077344:_____/21:00553266
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S0305440321001497?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0305440321001497?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jas.2021.105479" target="_blank" >10.1016/j.jas.2021.105479</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Reconstructing the full temporal range of archaeological phenomena from sparse data
Popis výsledku v původním jazyce
Archaeologists rarely discover the first or last known occurrences of past cultural phenomena, yet 'start' and 'end' dates are central to our understanding of past human behaviour; therein lays a paradox long known within the discipline. Optimal linear estimation (OLE) has recently been used to reconstruct the full temporal range of prehistoric archaeological technologies using only the partial records available. That is, OLE has been used to reconstruct the portions of the archaeological record not yet evidenced through artefact discoveries. Here we present OLE to a wider archaeological audience and outline for the first time the model's assumptions as they pertain to archaeological phenomena. We demonstrate OLE to be an accessible, user-friendly and methodologically transparent temporal range estimation method applied via a single set of equations. Further, we present five additional frequentist techniques that enable archaeologists to account for observation reliability, search effort and extreme data scarcity when inferring temporal ranges. These methods allow archaeologists to gain a more accurate understanding of the temporal range of past human behaviour.
Název v anglickém jazyce
Reconstructing the full temporal range of archaeological phenomena from sparse data
Popis výsledku anglicky
Archaeologists rarely discover the first or last known occurrences of past cultural phenomena, yet 'start' and 'end' dates are central to our understanding of past human behaviour; therein lays a paradox long known within the discipline. Optimal linear estimation (OLE) has recently been used to reconstruct the full temporal range of prehistoric archaeological technologies using only the partial records available. That is, OLE has been used to reconstruct the portions of the archaeological record not yet evidenced through artefact discoveries. Here we present OLE to a wider archaeological audience and outline for the first time the model's assumptions as they pertain to archaeological phenomena. We demonstrate OLE to be an accessible, user-friendly and methodologically transparent temporal range estimation method applied via a single set of equations. Further, we present five additional frequentist techniques that enable archaeologists to account for observation reliability, search effort and extreme data scarcity when inferring temporal ranges. These methods allow archaeologists to gain a more accurate understanding of the temporal range of past human behaviour.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10618 - Ecology
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Archaeological Science
ISSN
0305-4403
e-ISSN
—
Svazek periodika
135
Číslo periodika v rámci svazku
NOV 2021
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
6
Strana od-do
—
Kód UT WoS článku
000701928200001
EID výsledku v databázi Scopus
2-s2.0-85114784231