A Maxent Predictive Model for Hunter-Gatherer Sites in the Southern Pampas, Argentina

Q1 Social Sciences Open Quaternary Pub Date : 2021-09-21 DOI:10.5334/oq.97
Daniel J. Rafuse
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引用次数: 4

Abstract

The following paper presents the results of a Species Distribution Model (SDM) for grassland hunter-gatherer archaeology sites in the southern Pampas region of Argentina. The goal of this exploratory model is to provide a complementary survey model for the detection of archaeological sites in this region, which will also help characterize and discuss site locations and regional distribution patterns of hunter-gatherer occupations. Even in this largely homogenous and highly dynamic landscape, SDMs can help guide archaeological surveys by identifying some environmental variables affecting hunter-gatherer decisions, and can provide insights into mobility and archaeological settlement patterns. Among the available tools for SDM, Maximum Entropy Modeling (Maxent) is one of the most widely used approaches in archaeological predictive modelling. After controlling for bias and adjustment of several modifiable parameters, the Maxent software provided a potentially effective predictive model to direct future archaeological survey and heritage management projects. The results of this research suggest that watercourses and slope were the key environmental factors influencing the distribution of hunter-gatherer archaeological sites in the southern Pampas region.
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阿根廷潘帕斯南部狩猎采集者遗址的Maxent预测模型
本文介绍了阿根廷潘帕斯南部草原狩猎采集考古遗址的物种分布模型(SDM)的结果。该探索性模型的目标是为该地区考古遗址的探测提供一个补充的调查模型,这也将有助于描述和讨论遗址位置和狩猎采集职业的区域分布模式。即使在这种高度同质和高度动态的景观中,SDMs也可以通过识别影响狩猎采集者决策的一些环境变量来帮助指导考古调查,并可以提供对流动性和考古定居模式的见解。在可用的SDM工具中,最大熵建模(Maxent)是考古学预测建模中应用最广泛的方法之一。在控制偏差和调整几个可修改参数后,Maxent软件为指导未来的考古调查和遗产管理项目提供了一个潜在有效的预测模型。研究结果表明,河道和坡度是影响潘帕斯南部狩猎采集者考古遗址分布的关键环境因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Quaternary
Open Quaternary Social Sciences-Archeology
CiteScore
2.90
自引率
0.00%
发文量
10
审稿时长
19 weeks
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