Evaluating Mesolithic settlement patterns in mountain environments (Dolomites, Eastern Italian Alps): The role of research biases and locational strategies

IF 0.4 0 ARCHAEOLOGY Archeologia e Calcolatori Pub Date : 2017-01-01 DOI:10.19282/AC.28.1.2017.08
D. Visentin, F. Carrer
{"title":"Evaluating Mesolithic settlement patterns in mountain environments (Dolomites, Eastern Italian Alps): The role of research biases and locational strategies","authors":"D. Visentin, F. Carrer","doi":"10.19282/AC.28.1.2017.08","DOIUrl":null,"url":null,"abstract":"The wealth of Mesolithic evidence in the Alpine environments makes it possible to attempt a reconstruction of highland settlement patterns based on the distribution of known sites. However, just how representative this site distribution is has not yet been fully tested and the impact of research biases on the spatial organisation of Mesolithic findspots is not clear. In order to tackle these issues the locational pattern of Mesolithic sites recorded in an upland area of the Venetian Dolomites (North-Eastern Italy) was analysed. Point pattern analysis was used to correlate site distribution with two sets of covariates mirroring research biases and prehistoric settlement preferences. Point-process models were created and compared using both standard Akaike and Bayesian Information Criteria. Results indicate that both factors equally influence the current site distribution. The low number of statistically significant variables - slope and land-use - suggests the existence of additional variables that were not considered. An additional model helped us explore the importance of alternative variables and provided new perspectives for future investigation of high-altitude Mesolithic landscapes, with particular attention to highland mobility.","PeriodicalId":43161,"journal":{"name":"Archeologia e Calcolatori","volume":"1 1","pages":"129-145"},"PeriodicalIF":0.4000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archeologia e Calcolatori","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19282/AC.28.1.2017.08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
引用次数: 5

Abstract

The wealth of Mesolithic evidence in the Alpine environments makes it possible to attempt a reconstruction of highland settlement patterns based on the distribution of known sites. However, just how representative this site distribution is has not yet been fully tested and the impact of research biases on the spatial organisation of Mesolithic findspots is not clear. In order to tackle these issues the locational pattern of Mesolithic sites recorded in an upland area of the Venetian Dolomites (North-Eastern Italy) was analysed. Point pattern analysis was used to correlate site distribution with two sets of covariates mirroring research biases and prehistoric settlement preferences. Point-process models were created and compared using both standard Akaike and Bayesian Information Criteria. Results indicate that both factors equally influence the current site distribution. The low number of statistically significant variables - slope and land-use - suggests the existence of additional variables that were not considered. An additional model helped us explore the importance of alternative variables and provided new perspectives for future investigation of high-altitude Mesolithic landscapes, with particular attention to highland mobility.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估山地环境中中石器时代的定居模式(白云石,意大利阿尔卑斯山脉东部):研究偏差和定位策略的作用
阿尔卑斯环境中丰富的中石器时代证据使得根据已知遗址的分布尝试重建高地定居模式成为可能。然而,这个遗址分布的代表性还没有得到充分的测试,研究偏差对中石器时代发现地点的空间组织的影响也不清楚。为了解决这些问题,在威尼斯白云岩(意大利东北部)高地地区记录的中石器时代遗址的位置模式进行了分析。点模式分析将遗址分布与反映研究偏差和史前定居偏好的两组协变量相关联。建立了点过程模型,并使用标准赤池信息准则和贝叶斯信息准则进行了比较。结果表明,这两个因素对当前站点分布的影响是相等的。统计上有重要意义的变量- -坡度和土地利用- -数目少表明存在未考虑的其他变量。另一个模型帮助我们探索了替代变量的重要性,并为未来高海拔中石器时代景观的研究提供了新的视角,特别是对高地流动性的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.60
自引率
50.00%
发文量
0
审稿时长
40 weeks
期刊介绍: From the outset, the aim was to initiate an open and continuous exchange of information among different countries, thus prompting the creation of an international Scientific Committee. Representatives of the major Italian and foreign institutes interested in archaeological computing agreed to become members. A qualified Editorial board also assures a continuous flow of information and a profitable exchange of data. The journal covers three distinct parts. The first considers methodological approaches: it collects articles concerning theoretical aspects of archaeological computing as well as reports on programmes conducted by dedicated international institutions. The main section contains articles on various computer applications, such as databases, Geographical Information Systems, quantitative methods, expert systems, computer graphics, image processing, multimedia and web tools. A section is also dedicated to the automatic processing of documentary sources. The third aspect of the journal is characterised by book reviews and bibliographic news, with the aim to provide readers with an up-to-date source of documentation. Special thematic issues and Conference Proceedings have also been included.
期刊最新文献
SfM-photogrammetry for fast recording of archaeological features in remote areas Adulis (Eritrea): criticità e peculiarità di un sito complesso nel Corno d’Africa L’architetto, l’archeologo e Nostradamus Il recupero del genius loci del sito archeologico di Ghoufi (Aurès, Wilaya de Batna, Algeria) From databases to archaeological online resources: the logic of object classification
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1