Long-Term Occupation and Seasonal Settlement of Eastern Eurasian Pastoralists at Begash,Kazakhstan

Abstract

Recent excavations of the prehistoric pastoralist settlement of Begash, located in the Semirech'ye region of eastern Kazakhstan, provide evidence of one of the earliest pastoralist settlements in the eastern Eurasian steppe region. The archaeological complex at Begash includes a multi-period cemetery and rock art in addition to the settlement—a site complex that is well distributed throughout the koksu River Valley. Excavations at Begash have revealed three major phases of architectural development and six phases of material transition and site use, dated by a series of 34 calibrated radiocarbon AMS dates. These data demonstrate that mobile pastoral populations were active in the Dzhungar Mountains and koksu River Valley (Semirech'ye) as early as 2460 CAL B.C., more than 800 years earlier than previous theories suggested. Pastoralist activity at this domestic locale spans nearly 4000 years, with no archaeological evidence for long-term abandonment of the site in prehistory. Rather the occupational phases of the site are only interrupted by short-lived periods of disuse followed by centuries of re-engagement by local pastoralist communities. Thus, the broadly continuous record of material culture, domesticated faunal remains, and settlement at Begash index a local evolution of herding economies in Semirech'ye throughout the Bronze Age, beginning in the middle part of the 3rd millennium B.C. Ultimately, the data from Begash contribute a new perspective on the dynamic nature of Eurasian mobile pastoralists while also illustrating broad continuity in the settlement ecology of local populations that had a key role in the regional transmission of numerous innovations throughout the Bronze Age and later.     

MEAN SHIFT: A NON‐PARAMETRIC ALGORITHM FOR THE SEGMENTATION OF ANOMALIES IN GEOPHYSICAL IMAGES OBTAINED FROM MAGNETIC PROSPECTION DATA

This paper studies the applicability of the Mean Shift algorithm as support in interpreting geophysical images produced, on this occasion, from magnetic prospection data. The data obtained from a magnetic survey carried out in Gilena (Seville province, Spain) by the La Rábida Archaeophysics Group will be used for the research. Its applicability is illustrated by comparing, on the one hand, some reduction‐to‐pole algorithms and on the other, the (well‐known) k‐means algorithm. Finally, the paper shows the results obtained by applying the Mean Shift algorithm as an alternative method to ‘unsupervised clustering’ of anomalies that appear in images obtained from geophysical data, in which the a priori knowledge of the number of classes is difficult or impossible.