Geographic Information Systems as a Tool of Modern Age Archeology in Western Siberia

Author:

Gorlyshkin Nikita E.1ORCID

Affiliation:

1. Federal Research Center of Coal and Coal Chemistry, Siberian Branch of the Russian Academy of Sciences

Abstract

Geographic Information Systems (GIS) can be applied to archeological sites that belong to the epoch of Russian exploration of Western Siberia. GIS make it possible to collect, accumulate, and visualize archeological data. Although the method has gained a lot of popularity in the recent decades, Russian GIS-archeology has poor theoretical foundations. This article summarizes experience, problems, and prospects of using GIS at Modern Age archeological sites in Western Siberia. It starts with a comprehensive historiographic analysis of the domestic experience in various regions of Russia. The author introduces a preliminary classification of GIS-technologies. The analysis proved that GIS are acknowledged practical tools that make it possible to accumulate available theoretical data about archeological sites. Some regions have more prospects for GIS-archeology than others. A number of issues will have to be solved to develop the domestic GIS-archeology. For instance, attributive markers, conventional designations, and map bases should be unified. Moreover, archeologists often experience problems with access to data and experience obtained by their colleagues. Finally, there are very few specialized archeological GIS on Modern Age sites. In addition, Russian archeology will definitely benefit from AI-technologies.

Publisher

Kemerovo State University

Reference25 articles.

1. Belim S. V., Brechka D. M., Gorbunova T. A., Larionov I. B., Schmidt I. V. Intelligent geographic information system of archaeological sites. Mathematical Structures and Modeling, 2016, (3): 119–126. (In Russ.) https://www.elibrary.ru/wlxwlz

2. Biryukova T. V., Maslikhova L. I. The main stages of the formation of the regional geoinformation system of cultural heritage objects of the Voronezh region. Student i nauka, 2022, (4): 5–10. (In Russ.) https://www.elibrary.ru/gnbkpu

3. Borodkin L. I., Vladimirov V. N. 50th Anniversary of national quantitative history. Historical informatics, 2018, (3): 1–6. (In Russ.) https://www.elibrary.ru/yhiigd

4. Buryak Z. A., Lisetskii F. N., Ilyashenko S. V. Geoinformation analytical system "Archaeological sites of Crimea". Geodeziya i Kartografiya, 2018, 79(12): 29–40. (In Russ.) https://doi.org/10.22389/0016-7126-2018-942-12-29-40

5. Vostroknutov A. V., Shmuratko D. V. The Perm Cis-Urals in 5th–7th centuries: reconstruction of the settlement system using GIS. Ural'skij Istoricheskij Vestnik, 2021, (1): 160–169. (In Russ.) https://doi.org/10.30759/1728-9718-2021-1(70)-160-169

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3