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Spatiotemporal analysis of prehistoric settlement clustering based on terrain constraints in the Linfen area of China
Abstract
Ancient people's choices of where to live were strongly influenced by geography, especially by terrain. However, most settlement clustering algorithms, which use the Euclidean distance, do not consider terrain. Here, we present an improved clustering algorithm for the cluster analysis of ancient ruins that takes terrain‐related factors, such as slope and elevation, into account and uses the resistance distance (also known as the cost‐weighted distance) instead of the Euclidean distance. Furthermore, we select the prehistoric settlements (during 7‐3 ka BP within four cultural stages) in the Linfen area in the Fen River Basin as research objects to analyze the settlement distribution and spatiotemporal evolution of the four cultural staging sites with reference to the climate. We conclude that the proposed site clustering method based on terrain constraints can simulate ancient people's travel routes and improve the clustering results. The spatiotemporal analysis of prehistoric settlements in the Linfen area reveals that most of the settlements are distributed in the alluvial region of the river. Over time, the dependence on the rivers gradually decreased. The clustering and spatiotemporal analysis results show that the proposed method is feasible and applicable to ancient settlements.
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“The associated raster cost values vary according to the different authors (Table 1): Sécher (2017) and Liu et al. (2019) define raster cost values arbitrarily.”
From Mobility of paleolithic populations: biomechanical considerations and spatiotemporal modelling (2021) · cites this paper as Liu et al. (2019)
In the citing paper
“Thus, the influence of topography is much greater in the model proposed by Liu et al. (2019) where journeys are much shorter than those proposed by the other models (between 40% and 70% shorter compared with Barge and Chataigner's (2004) model; 10% to 55% shorter than in Sécher's (2017) model).”
From Mobility of paleolithic populations: biomechanical considerations and spatiotemporal modelling (2021) · cites this paper as Liu et al. (2019)
In the citing paper
“In addition to the problem inherent in the use of different raster cost values, it is also necessary to underline the biases related to the arbitrary definition of these values (see Sécher 2017;Liu et al. 2019)-how do we justify selecting value C for slope p when we see the scale of the difference in results depending on the choice made (see Figure 2, b and c)?”
From Mobility of paleolithic populations: biomechanical considerations and spatiotemporal modelling (2021) · cites this paper as Liu et al. 2019
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Cited by
Sorted by citations
Mobility of paleolithic populations: biomechanical considerations and spatiotemporal modelling
Vaissié, E. (2021) · Paleoanthropology · doi:10.48738/2021.iss1.73 · Cited by 7
Metadata
- Authors
- Liu, F., Yu, L., Nie, Y., & Zhu, J.
- Affiliations
- Remote Sensing of Non‐renewable Resources Laboratory, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences Beijing China
- ORCID
- Liu, Fang
- Venue
- Geoarchaeology
- Publisher
- Wiley
- Published
- 2019-03-18
- Volume
- 34
- Issue
- 5
- Pages
- 509-521
- ISSN
- 0883-6353
- 1520-6548
- Cited by
- 9
- References
- 0
- Language
- en
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