GeoBM:一个基于Python的工具,用于整合可视化全球文献识别数据的集成可视化
Chun Chong Fu1, Jorge Fleta-Asín2,3, Fernando Muñoz3,4
1Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Bandar Barat, 31900 Kampar, Perak, Malaysia.
MethodsX
|July 30, 2025
概括
GeoBM (地理图书法测绘) 提供了一种可视化全球研究的新方法,克服了传统地图的局限性. 这一框架增强了对科学成果的理解和国际合作,以改善科学政策.
科学领域:
- 圣经计量学和科学计量学
- 地理信息系统 (GIS) 是指地理信息系统.
- 科学科学政策的科学科学政策.
背景情况:
- 传统的地理空间可视化,如 choropleth 地图,与文献数据中常见的异质性和过度分散性作斗争.
- 现有的方法往往会扭曲全球科学成果和合作模式的表现.
- 需要可扩展和强大的方法来可视化复杂的,大规模的研究数据.
研究的目的:
- 引入GeoBM (地理图库测绘),这是一个计算框架,用于增强全球科学成果和合作的地理可视化.
- 解决传统的地理空间技术在文献分析中的方法缺陷.
- 为全球研究网络提供一个更细致的空间分析工具.
主要方法:
- GeoBM将国家级标准化出版量与双边合作频率相结合.
- 该框架使用Python,具有模块化,算法优化的实时数据处理程序.
- 纳入统计控制以减轻过度分散和增强视觉保真.
主要成果:
- GeoBM产生高分辨率,可解释的地理地图,反映研究强度和国际连接.
- 该框架使出版密度和协作强度的双重重点表示成为可能.
- 在Google Colab和GitHub等平台上的开源部署确保了可访问性和可重复性.
结论:
- GeoBM为全球研究网络的空间分析提供了一个强大的工具.
- 该框架有助于在科学政策,研究管理和创新研究中进行更细致的评估.
- 对图书统计数据进行增强的地理可视化对于理解当代研究环境至关重要.
关键词:
图书统计学分析图书馆计量标准 (Bibliometrix) 是一个城市空间 (Citespace) 是一个城市空间.国家合作地图.在Github上,我们可以使用Github.谷歌的协作 谷歌的协作网络 网络 网络 网络 网络 网络在生产生产生产生产生产.在Python算法中使用的算法.在VOSviewer中使用VOSviewer.更多相关视频
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