在佛罗里达州西南部,动物园考古数据集和以人为中心的生态系统的网络方法
Isabelle Holland-Lulewicz1, Jacob Holland-Lulewicz1
1Department of Anthropology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
PloS one
|December 19, 2023
概括
网络图形提供了一种强大的新方法来可视化复杂的动物园考古数据. 这种方法有效地揭示了动物组合和人类环境动态中的复杂关系,克服了传统图表的局限性.
科学领域:
- 动物园 考古学
- 计算考古学 计算考古学
- 数据可视化 数据可视化
背景情况:
- 动物园考古数据集庞大而复杂,使得可视化和沟通具有挑战性.
- 像条形图和饼图这样的传统方法简化了数据,但可以掩盖复杂的关系和人与环境的动态.
- 现有的可视化技术往往限制了动物组合中的细微模式的识别.
研究的目的:
- 展示正式网络图的实用性,用于可视化复杂的动物园考古数据集.
- 突出动物园考古学中背景,物种,时间和环境信息之间的关系.
- 将网络图表展示为解释以人为中心的生态系统的有效工具.
主要方法:
- 正式网络图形理论应用于动物园的考古数据.
- 使用佛罗里达州西南部 (美国) 的案例研究来说明该方法.
- 网络图的比较分析与传统的可视化技术.
主要成果:
- 网络图有效地捕捉了动物园考古数据集中固有的复杂性.
- 这种方法突出了背景,时间和动物组合之间的关系.
- 视觉化揭示了反映着以人为中心生态系统的基本方面模式.
结论:
- 正式网络图提供了一种可视化和解释动物园考古数据的卓越方法.
- 网络图为理解复杂的动物组合结构提供了一个快速而有洞察力的解决方案.
- 这种方法增强了对过去生态系统中人类环境动态的解释.
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