Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China
The emergence of agriculture and the evolution of sedentary societies are among the most important processes in human history. However, although archeologists and social scientists have long been studying these processes, our understanding of them is still limited. This article focuses on the Fuxin...
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ftdoajarticles:oai:doaj.org/article:6a498c7f84964fa18cf933dc1feefcc7 2023-05-15T14:17:45+02:00 Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China Ido Wachtel Royi Zidon Gideon Shelach-Lavi 2020-03-01T00:00:00Z https://doi.org/10.3390/e22030307 https://doaj.org/article/6a498c7f84964fa18cf933dc1feefcc7 EN eng MDPI AG https://www.mdpi.com/1099-4300/22/3/307 https://doaj.org/toc/1099-4300 1099-4300 doi:10.3390/e22030307 https://doaj.org/article/6a498c7f84964fa18cf933dc1feefcc7 Entropy, Vol 22, Iss 3, p 307 (2020) maximal entropy maxent northeast china locational modelling neolithic transition to agriculture settlement patterns Science Q Astrophysics QB460-466 Physics QC1-999 article 2020 ftdoajarticles https://doi.org/10.3390/e22030307 2022-12-30T20:36:16Z The emergence of agriculture and the evolution of sedentary societies are among the most important processes in human history. However, although archeologists and social scientists have long been studying these processes, our understanding of them is still limited. This article focuses on the Fuxin area in present-day Liaoning province in Northeast China. A systematic archeological survey we conducted in Fuxin in recent years located sites from five successive stages of the evolution of agricultural sedentary society. We used the principles of Maximal Entropy to study changes in settlement patterns during a long-term local trajectory, from the incipient steps toward a sedentary agricultural way of life to the emergence of complex societies. Based on the detailed data collected in the field, we developed a geo-statistical model based on Maximal Entropy (MaxEnt) that characterizes the locational choices of societies during different periods. This combination of high-resolution information on the location and density of archeological remains, along with a maximal entropy-based statistical model, enabled us to chart the long-term trajectory of the interactions between human societies and their natural environment and to better understand the different stages of the transition to developed sedentary agricultural society. Article in Journal/Newspaper Archeological Survey Directory of Open Access Journals: DOAJ Articles Entropy 22 3 307 |
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English |
topic |
maximal entropy maxent northeast china locational modelling neolithic transition to agriculture settlement patterns Science Q Astrophysics QB460-466 Physics QC1-999 |
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maximal entropy maxent northeast china locational modelling neolithic transition to agriculture settlement patterns Science Q Astrophysics QB460-466 Physics QC1-999 Ido Wachtel Royi Zidon Gideon Shelach-Lavi Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China |
topic_facet |
maximal entropy maxent northeast china locational modelling neolithic transition to agriculture settlement patterns Science Q Astrophysics QB460-466 Physics QC1-999 |
description |
The emergence of agriculture and the evolution of sedentary societies are among the most important processes in human history. However, although archeologists and social scientists have long been studying these processes, our understanding of them is still limited. This article focuses on the Fuxin area in present-day Liaoning province in Northeast China. A systematic archeological survey we conducted in Fuxin in recent years located sites from five successive stages of the evolution of agricultural sedentary society. We used the principles of Maximal Entropy to study changes in settlement patterns during a long-term local trajectory, from the incipient steps toward a sedentary agricultural way of life to the emergence of complex societies. Based on the detailed data collected in the field, we developed a geo-statistical model based on Maximal Entropy (MaxEnt) that characterizes the locational choices of societies during different periods. This combination of high-resolution information on the location and density of archeological remains, along with a maximal entropy-based statistical model, enabled us to chart the long-term trajectory of the interactions between human societies and their natural environment and to better understand the different stages of the transition to developed sedentary agricultural society. |
format |
Article in Journal/Newspaper |
author |
Ido Wachtel Royi Zidon Gideon Shelach-Lavi |
author_facet |
Ido Wachtel Royi Zidon Gideon Shelach-Lavi |
author_sort |
Ido Wachtel |
title |
Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China |
title_short |
Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China |
title_full |
Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China |
title_fullStr |
Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China |
title_full_unstemmed |
Using the Maximal Entropy Modeling Approach to Analyze the Evolution of Sedentary Agricultural Societies in Northeast China |
title_sort |
using the maximal entropy modeling approach to analyze the evolution of sedentary agricultural societies in northeast china |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/e22030307 https://doaj.org/article/6a498c7f84964fa18cf933dc1feefcc7 |
genre |
Archeological Survey |
genre_facet |
Archeological Survey |
op_source |
Entropy, Vol 22, Iss 3, p 307 (2020) |
op_relation |
https://www.mdpi.com/1099-4300/22/3/307 https://doaj.org/toc/1099-4300 1099-4300 doi:10.3390/e22030307 https://doaj.org/article/6a498c7f84964fa18cf933dc1feefcc7 |
op_doi |
https://doi.org/10.3390/e22030307 |
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Entropy |
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22 |
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307 |
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1766289640908652544 |