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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AC - Archeologie, antropologie, etnologie

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Journal of Archaeological Science

ISSN

0305-4403

e-ISSN

—

Svazek periodika

69

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

100-109

Kód UT WoS článku

000377822500010

EID výsledku v databázi Scopus

2-s2.0-84964582934