{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T03:10:30Z","timestamp":1767237030198,"version":"build-2065373602"},"reference-count":138,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T00:00:00Z","timestamp":1713484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSFC-INSF Joint Research Project","award":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"],"award-info":[{"award-number":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"],"award-info":[{"award-number":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"]}]},{"name":"Academician and Expert Workstation of Yunnan Province","award":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"],"award-info":[{"award-number":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"]}]},{"name":"European Research Council","award":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"],"award-info":[{"award-number":["42261144670","2019QZKK0601","202305AF150183","ERC-2019-ADG-883700-TRAM"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Traditional GIS-based statistical models are intended to extrapolate patterns of settlements and their interactions with the environment. They contribute significantly to our knowledge of past human\u2013land relationships. Yet, these models are often criticized for their empiricism, lopsided specific factors, and for overlooking the synergy between variables. Though largely untested, machine learning and artificial intelligence methods have the potential to overcome these shortcomings comprehensively and objectively. The northeastern Tibetan Plateau (NETP) is characterized by diverse environments and significant changes to the social system from the Neolithic to Bronze Age. In this study, this area serves as a representative case for assessing the complex relationships between settlement locations and geographic environments, taking full advantages of these new models. We have explored a novel modeling case by employing GIS and random forests to consider multiple factors, including terrain, vegetation, soil, climate, hydrology, and land suitability, to construct classification models identifying environmental variation across different cultural periods. The model exhibited strong performance and a high archaeological prediction value. Potential living maps were generated for each cultural stage, revealing distinct environmental selection strategies from the Neolithic to Bronze Age. The key environmental parameters of elevation, climate, soil erosion, and cultivated land suitability were calculated with high weights, influencing human environmental decisions synergistically. Furthermore, we conducted a quantitative analysis of temporal dynamics in climate and subsistence to understand driving mechanisms behind environmental strategies. These findings suggest that past human environmental strategies were based on the comprehensive consideration of various factors, coupled with their social economic scenario. Such subsistence-oriented activities supported human beings in overcoming elevation limitation, and thus allowed them to inhabit wider pastoral areas. This study showcases the potential of machine learning in predicting archaeological probabilities and in interpreting the environmental influence on settlement patterns.<\/jats:p>","DOI":"10.3390\/rs16081454","type":"journal-article","created":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T03:57:07Z","timestamp":1713758227000},"page":"1454","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["GIS and Machine Learning Models Target Dynamic Settlement Patterns and Their Driving Mechanisms from the Neolithic to Bronze Age in the Northeastern Tibetan Plateau"],"prefix":"10.3390","volume":"16","author":[{"given":"Gang","family":"Li","sequence":"first","affiliation":[{"name":"Ministry of Education Key Laboratory of Western China\u2019s Environmental System, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}]},{"given":"Jiajia","family":"Dong","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of Western China\u2019s Environmental System, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7872-1515","authenticated-orcid":false,"given":"Minglu","family":"Che","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of Western China\u2019s Environmental System, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of Western China\u2019s Environmental System, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"},{"name":"School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China"}]},{"given":"Jing","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China"}]},{"given":"Guanghui","family":"Dong","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of Western China\u2019s Environmental System, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"},{"name":"School of Geographical Sciences and Tourism, Zhaotong University, Zhaotong 657000, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.1016\/j.jas.2011.03.035","article-title":"Deletion\/Substitution\/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning","volume":"38","author":"Fernandes","year":"2011","journal-title":"J. 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