Towards an Operative Predictive Model for the Songshan Area during the Yangshao Period
Creators
- 1. Institute of Geography, Henan Academy of Sciences, Zhengzhou 450052, China
- 2. Zhengzhou Base, International Center on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Zhengzhou 450052, China
- 3. Institute of Science of Cultural Heritage, National Research Council, C.da Santa Loja, 85050 Tito Scalo (PZ), Italy
- 4. Consiglio Nazionale delle Ricerche
- 5. School of Earth and Environmental Sciences, University of Queensland, Brisbane, QLD 4072, Australia
- 6. University of Queensland
- 7. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No.9, Dengzhuang South Road, Haidi, Beijing 100094, China
- 8. Chinese Academy of Sciences
Description
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.
Open Access
Licence Attribution (CC BY)
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Publication Details
Journal article
Persistent Identifiers
DOI
10.3390/ijgi10040217
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MAGID
3151715637
Funding
Financial Support
National Natural Science Foundation of China — Grant: 41701014, 41971016, 41671014
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the Study of Environment archaeology in Zhengzhou, the Digital Environment Archaeology Specially-appointed Researcher of Henan, China — Grant: 210501002
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Chinese National Funding of Social Sciences — Grant: 18CKG003
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the basic scientific research of Henan — Grant: 210601027, 200601016
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Science and technology project of Henan Province — Grant: 192102310019
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References
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