| Title | Reconstructing settlement evolution from neolithic to Shang dynasty in Songshan mountain area of central China based on self-organizing feature map |
| Authors | Lu, Peng Chen, Panpan Tian, Yan He, Yang Mo, Duowen Yang, Ruixia Lasaponara, Rosa Masini, Nicola |
| Affiliation | Henan Acad Sci, Inst Geog, Zhengzhou 450052, Henan, Peoples R China UNESCO, Zhengzhou Base, Int Ctr Space Technol Nat & Cultural Heritage Aus, Zhengzhou 450052, Henan, Peoples R China Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China CNR, Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy CNR, Inst Archaeol & Architectural Heritage, I-85050 Tito, PZ, Italy |
| Keywords | Songshan Mountain Region Prehistoric settlements distribution Size-grade division Spatial pattern Evolution characteristic |
| Issue Date | 2019 |
| Publisher | JOURNAL OF CULTURAL HERITAGE |
| Abstract | The Self-Organizing Feature Map (SOFM) is one of the most popular neural network models, recently also adopted in archaeology to improve and enhance, on the basis of the availability of information and archaeological records, our understanding of the long-term human settlements and their evolution. In this paper, SOFM has been applied to classify prehistoric settlement size-grade in the Songshan Mountain Region in China, mainly focusing on the following four periods: Peiligang (9000-7000aBP), Yangshao (7000-5000aBP), Longshan (5000-4000aBP) and Xia-Shang (4000-3000aBP). Outputs from the SOFM analysis enabled us to capture the spatial relation between higher and lower grade settlements and to identify specific morphological patterns. This brought new light on the human settlements and their evolution in relations with the nature, environmental features, and cultural attitude in the Songshan Mountain Region where the Chinese civilization emerged and developed. (C) 2018 Elsevier Masson SAS. All rights reserved. |
| URI | http://hdl.handle.net/20.500.11897/543496 |
| ISSN | 1296-2074 |
| DOI | 10.1016/j.culher.2018.08.006 |
| Indexed | A&HCI SCI(E) EI |
| Appears in Collections: | 城市与环境学院 |
