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Towards an Operative Predictive Model for the Songshan Area during the Yangshao Period

Bibliographic Data

ID22033175
AuthorsLijie Yan (0009-0000-4811-9252, Henan Academy of Sciences), Peng Lü (0000-0003-1195-1816, Henan Academy of Sciences, corresponding author), Panpan Chen (0000-0002-0497-2654, Henan Academy of Sciences), Maria Danese (0000-0001-7414-5083, National Research Council), Xiang Li (0000-0001-6509-2709, The University of Queensland), Nicola Masini (0000-0002-8804-5718, Chinese Academy of Sciences), Xia Wang (0000-0002-5256-0611, Henan Academy of Sciences), Lanbo Guo (Henan Academy of Sciences), Dong Zhao (0000-0002-2404-7669, Henan Academy of Sciences), Dongyuan Zhao (0000-0001-9332-5960, Henan Academy of Sciences)
Year2021
Volume10
Issue4
Pages217
Publication date2021-04-01
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10040217
OpenAlexW3151715637
LanguageEN
References cited30

The literature in the field of archaeological predictive models has grown in the last years, looking for new factors the most effective methods to introduce. However, where predictive models are used for archaeological heritage management, they could benefit from using a more speedy and consequently useful methods including some well-consolidated factors studied in the literature. In this paper, an operative archaeological predictive model is developed, validated and discussed, in order to test its effectiveness. It is applied to Yangshao period (5000–3000 BC) in the Songshan area, where Chinese civilization emerged and developed, and uses 563 known settlement sites. The satisfactory results herein achieved clearly suggest that the model herein proposed can be reliably used to predict the geographical location of unknown settlements

Archaeology · Art · Geography · Human settlement · Archaeological Research and Protection · Archaeology and ancient environmental studies · Computer Science · Cultural Heritage Management and Preservation · Geology

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